Available to hire
I’m a Senior AI/ML Engineer with 10+ years delivering production-grade AI solutions across e-commerce, healthcare, and infrastructure. I specialize in large language models, NLP, and MLOps, and have built scalable ML pipelines on AWS, GCP, and Azure, powering chatbots, forecasting, risk surveillance, and computer vision at scale. I enjoy collaborating with cross-functional teams to translate business goals into practical AI innovations.
I thrive mentoring engineers, driving governance and AB testing, and aligning AI work with product and business outcomes. I’m passionate about creating reliable, HIPAA-compliant solutions and helping teams adopt responsible AI practices while delivering measurable impact.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Javanese
Advanced
Aragonese
Advanced
Bashkir
Advanced
Afar
Intermediate
Work Experience
Senior AI/ML Engineer at Nike, Inc.
June 1, 2022 - PresentDesigned and deployed Nike's Gen AI shopping assistant with LangChain, OpenAI APIs, and FAISS/Pinecone to enable conversational discovery; reduced support handling time by 35%. Built a multi-agent automation system generating marketing copy, product descriptions, and campaign assets, cutting manual workload by 40%. Launched AI-powered trend forecasting and style-matching models with PyTorch, boosting SNKRS app engagement by ~30%. Engineered AI risk models such as the Fit Predictor service (CV + NLP), reducing size-related returns by 18%. Implemented ETL/data pipelines on AWS SageMaker + PyTorch Lightning; automated infrastructure with Kubernetes, Terraform, and GitHub Actions for millions of users. Led cross-functional teams and ML governance with MLflow and Databricks AB testing.
Senior AI/ML Engineer at Urbint
June 1, 2022 - October 5, 2025Designed an AI-driven risk surveillance platform processing 200+ CCTV feeds in real time on GCP; fine-tuned LLMs for chatbot-style recommendations and generated synthetic data via LangChain + OpenAI for domain adaptation. Delivered CV/NLP document parsing platform with Vision API and NLP; deployed HIPAA-compliant multi-tenant cloud architecture on GCP and mentored new team members. Led a cross-functional effort to build scalable ML infra and monitoring.
AI/ML Engineer - Hybrid at Optum
November 1, 2020 - October 5, 2025Developed chronic disease risk prediction models using claims and EHR data with Scikit-Learn and TensorFlow; improved predictive accuracy by 25%. Built FHIR/HL7 APIs with Flask + FastAPI, and implemented ETL pipelines with PySpark + Airflow. Designed NLP pipelines for clinical note classification to support clinical decision making. Deployed retrainable ML services on Azure ML, MLflow, and Kubernetes; mentored team members and contributed to data governance.
Data Engineer at Onsite Stealth Startup
December 1, 2016 - October 5, 2025Designed and implemented scalable data ingestion pipelines for large-scale annotation data used in computer vision models. Developed Python-based ETL workflows, integrating internal APIs and third-party data sources. Automated data validation and transformation via CI/CD to ensure data integrity across environments. Collaborated with product teams to optimize data flow powering a SaaS e-commerce analytics platform, improving performance.
Senior Gen AI Engineer at Nike
June 1, 2022 - PresentDesigned and deployed Nike’s Gen AI shopping assistant (Nike.com & SNKRS) using LangChain, OpenAI APIs, and FAISS/Pinecone; enabled conversational discovery and reduced support handling time by 35%. Built multi-agent automation generating marketing copy, product descriptions, and campaign assets, cutting manual workload by ~40%. Launched AI-powered trend forecasting models with PyTorch + SNKRS data, boosting accuracy and adoption. Automated GenAI infrastructure with Kubernetes, Terraform, and GitHub Actions; led cross-functional teams and ML governance with MLflow and DataBricks A/B testing.
Senior AI/ML Engineer at Nike
June 1, 2022 - October 5, 2025Designed and deployed Nike’s Gen AI shopping assistant (Nike.com & SNKRS) using LangChain, OpenAI APIs and FAISS/Pinecone; enabled conversational discovery and reduced support handling time by 35%. Built multi-agent automation for marketing copy, product descriptions, and campaigns; launched AI-powered trend forecasting models with PyTorch Lightning; improved KPI alignment. Enhanced Fit Predictor services (CV + NLP) and reduced size-related returns; developed supply chain demand forecasting with AWS SageMaker + PyTorch Lightning, cutting out-of-stock events. Automated GenAI infra with Kubernetes, Terraform, and GitHub Actions; led governance and AB testing.
Data Engineer at Stealth Health Startup
December 1, 2016 - October 5, 2025Designed and implemented a calibrated data ingestion pipeline for large-scale medical imaging/annotation data; developed PyTorch-based ETL workflows; created internal PI/CI/CD pipelines; collaborated with product teams to optimize data flows powering ML models; established data validation and lineage to support clinical workflows.
Senior AI/ML Engineer at Optum
November 30, 2020 - October 5, 2025Developed chronic disease risk prediction models (claims + EHR data) with scikit-learn and TensorFlow, improving predictive accuracy. Built HL7/FHIR APIs with Flask/FastAPI to integrate models into clinical workflows. Implemented ETL pipelines with PySpark + Airflow, ensuring HIPAA compliance and governance for healthcare datasets. Deployed end-to-end ML services on Azure ML, MLflow, and Kubernetes. Created NLP/pipeline for clinical note classification to support decision making.
Senior AI/ML Engineer - Remote at Nike
June 1, 2022 - PresentDesigned and deployed Nike's Gen AI Shopping Assistant (Nike.com + SNKRS) using LangChain, OpenAI APIs, and FAISS/Pinecone, enabling conversational discovery and reducing support handling time by 35%. Built multi-agent automation to generate marketing copy, product descriptions, and campaign assets, cutting manual workload by 40%. Launched AI-powered trend forecasting models with PyTorch for SNKRS, boosting app engagement and personalization. Engineered AI-driven CV/NLP pipelines for risk and supply-chain use cases, and led scalable AI infrastructure with Kubernetes, Terraform, and GitHub Actions for millions of users.
Senior AI/ML Engineer - Remote at Nike
June 1, 2022 - October 5, 2025Designed an AI-driven risk surveillance platform processing 200+ CCTV feeds in real time using GCP (Cloud Run, Pub/Sub, Cloud Functions). Fine-tuned LLMs for chatbot-style recommendations and built synthetic datasets via LangChain + OpenAI for domain adaptation. Delivered a CV + NLP document parsing platform using Vision API, NLP API, AI Platform, and GKE, supporting large-scale multi-tenant deployment. Drove 85% test coverage on ML pipelines using Pytest + Cypress, ensuring reliability in production. Led cloud architecture design (multi-tenant, HIPAA-compliant) on GCP and mentored new team members.
Senior AI/ML Engineer - Hybrid at Optum
November 1, 2020 - October 5, 2025Developed chronic disease risk prediction models (claims + EHR data) with Scikit-learn + TensorFlow, improving predictive accuracy by 25%. Built FHIR/Hl7-compliant APIs with Flask + FastAPI, integrating models into clinical workflows. Implemented ETL pipelines with PySpark + Airflow, ensuring HIPAA compliance and governance for healthcare datasets. Designed NLP pipelines for clinical note classification to improve clinical decision support. Deployed scalable ML services with Azure ML, MLflow, and Kubernetes.
Data Engineer at Stealth Health Startup
December 1, 2016 - October 5, 2025Developed and deployed scalable Python-based ETL workflows for large-scale annotated data used in computer vision models. Built and deployed data ingestion pipelines, integrating internal APIs and third-party data sources. Automated data validation and transformation processes using CI/CD pipelines to ensure data integrity across environments. Collaborated with product teams to optimize data flow powering a SaaS analytics platform, improving performance and reporting accuracy.
Senior AI/ML Engineer at Nike
June 1, 2022 - PresentDesigned and deployed Nike's GenAI shopping assistant using LangChain, OpenAI APIs, FAISS and Pinecone, enabling conversational discovery and reducing support handling time by 35%. Built a multi-agent automation system that generates marketing copy, product descriptions, and campaign assets, cutting manual work by 40%. Launched AI-powered trend forecasting and style-matching models with PyTorch, boosting Nike SNKRS retention by 30%. Engineered Nike Fit Predictor (CV + NLP) to reduce size-related returns by 18% globally. Developed supply chain demand forecasting models with AWS SageMaker and PyTorch Lightning, reducing out-of-stock events by 22%. Automated GenAI infrastructure with Kubernetes, Terraform, and GitHub Actions, scaling microservices to millions of users. Led cross-functional agile teams, mentored junior engineers, and implemented ML governance with MLflow and Databricks A/B testing.
Senior AI/ML Engineer at Urbint
June 1, 2022 - October 5, 2025Designed an AI-driven risk surveillance platform processing 200+ CCTV feeds in real time on GCP (Cloud Run, Pub/Sub, Cloud Functions). Fine-tuned LLMs with LangChain + OpenAI for domain adaptation and created synthetic datasets for domain generalization. Delivered CV/NLP document parsing platform using Vision API, NLP API, and GKE; supported HIPAA-compliant healthcare datasets. Built real-time inference services and ETL pipelines with PySpark + Airflow; implemented NLP pipelines for clinical notes classification to support decision making. Deployed ML training and retraining workflows with MLflow, Kubeflow, and Azure ML for governance across teams.
AI/ML Engineer - Hybrid at Optum
November 1, 2020 - October 5, 2025Developed chronic disease risk prediction models (claims + EHR data) with Scikit-learn and TensorFlow, improving predictive accuracy by ~25%. Built FHIR/HL7-compliant APIs with Flask + FastAPI and integrated models into clinical workflows. Implemented ETL pipelines with PySpark + Airflow, ensuring HIPAA compliance and governance for healthcare datasets. Designed NLP pipelines for clinical notes classification to support decision making. Deployed retraining ML services using Azure ML, MLflow, and Kubeflow.
Data Engineer at Onsite Stealth Startup
December 1, 2016 - October 5, 2025Designed and implemented scalable data ingestion pipelines for large-scale annotation data used in computer vision models. Developed Python-based ETL workflows, integrating internal APIs and third-party data sources. Automated data validation and transformation using CI/CD pipelines to ensure data integrity across environments. Collaborated with product teams to optimize data flows powering a SaaS e-commerce analytics platform.
Senior Gen AI Engineer at Nike
June 1, 2022 - PresentDesigned and deployed Nike’s GenAI shopping assistant using LangChain, OpenAI APIs, and FAISS/Pinecone, enabling conversational product discovery and reducing manual support load. Built a multi-agent automation system that generates marketing copy, product descriptions, and campaign assets, cutting manual workflow by 40%. Launched AI-powered trend forecasting and style-matching models with PyTorch, boosting relevance and engagement. Engineered Nike Fit Predictor (CV + NLP) to cut size-related returns by 18%. Developed supply-chain demand forecasting models with AWS SageMaker and PyTorch Lightning, reducing out-of-stock events by 22%. Automated GenAI infrastructure with Kubernetes, Terraform, and GitHub Actions to scale microservices to millions of users. Led cross-functional teams, mentored junior engineers, and implemented ML governance with MLflow and Databricks A/B testing.
Senior AI/ML Engineer at Urbint
June 1, 2022 - October 5, 2025Designed an AI-driven risk surveillance platform processing 200+ CCTV feeds in real time on Google Cloud (Cloud Run, Pub/Sub, Cloud Functions). Fine-tuned LLMs for chat-like recommendations and built synthetic datasets via LangChain + OpenAI for domain adaptation. Delivered a CV+ NLP document parsing platform using Vision API, NLP API, AI Platform, and Kubernetes for multi-tenant deployment. Achieved 85% test coverage on ML pipelines using PyTest + PyTorch; led cloud architecture on GCP (multi-tenant, secure, HIPAA compliant) and mentored new team members.
Senior AI/ML Engineer at Optum
November 1, 2020 - October 5, 2025Developed chronic disease risk prediction models (claims + EHR data) with Scikit-learn and TensorFlow, improving predictive accuracy by 25%. Built FHIR/Hl7 compliant APIs with Flask + FastAPI to integrate models into clinical workflows. Implemented ETL pipelines with PySpark + Airflow, ensuring HIPAA compliance and governance for health care data sets. Designed NLP pipeline for clinical note classification to improve clinical decision support. Deployed reproducible ML services with Azure ML, MLflow, and Kubernetes.
Data Engineer at Onsite Stealth Startup
December 1, 2016 - October 5, 2025Designed and implemented a scalable data ingestion pipeline for handling large-scale annotation data used in computer vision. Developed and deployed Python-based ETL workflows, integrating internal APIs and third-party data sources. Automated data validation and transformation processes using CI/CD pipelines to ensure data integrity across environments. Collaborated with product teams to optimize data flows powering a SaaS analytics platform, improving performance and reporting accuracy.
Senior AI/ML Engineer at Nike
June 1, 2022 - PresentDesigned and deployed Nike's Gen AI shopping assistant using LangChain, OpenAI APIs, and FAISS/Pinecone; enabled conversational discovery, reduced support handling time by 35%. Built a multi-tenant AI automation system generating marketing copy, product descriptions, and campaign assets, cutting manual workload by 40%. Launched AI-powered trend forecasting and style-matching models with PyTorch, boosting app retention. Engineered the Fit Predictor service (CV + NLP + purchased data) reducing size-related returns by 18% globally. Drove supply chain demand forecasting models with AWS SageMaker + PyTorch Lightning, reducing out-of-stock events by 22%. Automated Gen AI infrastructure with Kubernetes, Terraform, GitHub Actions, scaling microservices to millions of users. Led cross-functional teams and mentored junior engineers, implementing ML governance with MLflow and Databricks A/B testing.
Senior AI/ML Engineer at Urbint
June 1, 2022 - October 13, 2025Designed an AI-driven risk surveillance platform processing real-time feeds from 200+ CCTVs using GCP; fine-tuned LLMs for chatbot-style recommendations; built synthetic datasets with LangChain + OpenAI for domain adaptation; delivered CV+NLP document parsing; achieved high test coverage on ML pipelines.
AI/ML Engineer - Hybrid at Optum
November 1, 2020 - October 13, 2025Developed chronic disease risk prediction models (claims + EHR data) using scikit-learn and TensorFlow; built HL7 APIs with Flask + FastAPI; implemented ETL pipelines with PySpark + Apache Airflow; deployed NLP pipelines for clinical note classification; migrated to HIPAA-compliant workflows; deployed NLP pipelines for clinical notes with Azure ML.
Data Engineer at Onsite Stealth Startup
December 1, 2016 - October 13, 2025Designed scalable data ingestion pipelines for large-scale annotation data used in computer vision models; built PyTorch-based ETL workflows; deployed retrainable ML services in a SaaS analytics platform; collaborated with product teams to optimize data flows; produced outputs in MATLAB and GIS mapping.
Senior AI/ML Engineer at Nike
June 1, 2022 - PresentLed the design and deployment of Nike's Gen AI Shopping Assistant using LangChain, OpenAI APIs and FAISS/Pinecone, enabling conversational discovery and reducing support handling time by 35%. Built a multi-agent automation system that generated marketing copy, product descriptions, and campaign assets, cutting manual workload by 40%. Launched AI-powered trend forecasting and style-matching models with PyTorch, boosting SNKRS adoption by 30%. Implemented HIPAA-compliant data pipelines and Fit Predictor components.
Senior AI/ML Engineer at UrbInt
June 1, 2022 - October 14, 2025Designed an AI-driven risk surveillance platform processing 200+ CCTV feeds in real-time using GCP Cloud Run, Pub/Sub, and Cloud Functions. Fine-tuned LLMs for chatbot-style recommendations and built synthetic datasets via LangChain + OpenAI for domain adaptation. Delivered CV + NLP document parsing platform. Implemented ETL pipelines with PySpark + Airflow and HIPAA compliance. Led cloud architecture and onboarding of new team members.
Data Engineer at Stealth Health Startup (Onsite)
December 31, 2016 - October 14, 2025Designed and implemented scalable data ingestion and validation pipelines for large-scale annotated healthcare datasets; automated data validation and transformation via CI/CD pipelines to ensure data integrity; collaborated with product teams to optimize data workflows powering analytics initiatives.
Senior Gen AI Engineer at Nike
June 1, 2022 - PresentDesigned and deployed Nike's Gen AI shopping assistant for Nike.com and SNKRS using LangChain, OpenAI APIs, and FAISS/Pinecone; enabled conversational discovery and reduced support handling time by 35%. Built a multi-agent system that generates marketing copy, product descriptions, and campaign assets, cutting manual work by 40%. Launched AI-powered trend forecasting and style-matching models with PyTorch, boosting SNKRS engagement by 30%. Engineered the Fit Predictor service (CV + NLP) to reduce size-related returns worldwide by 18%. Developed supply chain demand forecasting models with AWS SageMaker and PyTorch, reducing out-of-stock events by 22%. Automated Gen AI infrastructure using Kubernetes, Terraform, and GitHub Actions, scaling microservices to millions of users. Led cross-functional teams and ML governance with MLflow and Delta Lake/Databricks AB testing.
Senior AI/ML Engineer - Remote Urbint at Urbint
June 1, 2022 - October 21, 2025Developed chronic disease risk prediction models (claims + EHR data) with Scikit-learn and TensorFlow, improving predictive accuracy by 25%. Built HIPAA-compliant APIs with Flask + FastAPI, integrating models into clinical workflows. Implemented ETL pipelines with PySpark + Airflow, ensuring governance and HIPAA compliance for healthcare datasets. Led cross-functional teams and mentored junior engineers.
AI/ML Engineer - Hybrid at Optum
November 1, 2020 - October 21, 2025Developed chronic disease risk prediction models using EHR and claims data with Scikit-learn and TensorFlow; built HIPAA-compliant APIs with Flask and FastAPI; designed NLP pipelines; implemented ETL pipelines with PySpark and Airflow; contributed to data governance, governance and clinical workflow integration.
Data Engineer at Stealth Model Startup
December 1, 2016 - October 21, 2025Designed and implemented scalable data ingestion pipelines for large-scale annotation data used in computer vision model training; built Python-based ETL workflows; integrated internal APIs and third-party data sources; automated data validation and transformation with CI/CD; collaborated with product teams on data architecture and features.
Senior AI Engineer at Nike
June 1, 2022 - November 6, 2025Designed and deployed Nike's Gen AI shopping assistant using LangChain, OpenAI APIs, FAISS/Pinecone, enabling conversational discovery and reducing support handling time by 35%. Built multi-agent automation to generate marketing copy, product descriptions, and campaigns, cutting manual workload by 40%. Launched AI-powered trend forecasting + style-matching models with PyTorch, boosting KPI performance. Implemented Nike Fit Predictor services, reducing size-related returns globally by 18%. Automated supply chain demand forecasting with AWS SageMaker + PyTorch, reducing stockouts by 22%.
Senior AI/ML Engineer at Urbint
June 1, 2022 - June 1, 2022Designed an AI-driven risk surveillance platform processing 200+ CCTV feeds in real time using GCP (Cloud Run, Pub/Sub, Cloud Functions). Fine-tuned LLMs for conversational recommendations and built synthetic datasets via LangChain + OpenAI API for domain adaptation. Delivered CV + NLP pipelines for documentation parsing, supported multi-tenant deployment, and achieved 85% test coverage on ML pipelines with Pytest/Cypress.
AI/ML Engineer at Optum
November 1, 2020 - November 1, 2020Developed chronic disease risk prediction models (claims + EHR data) with SciKit-Learn + TensorFlow; built HIPAA-compliant ML APIs with Flask + FastAPI and integrated models into clinical workflows. Implemented ETL pipelines with PySpark + Airflow; designed NLP pipelines for clinical note classification and decision support. Deployed ML services with Azure ML and ensured governance for healthcare datasets.
Data Engineer at Stealth Startup
December 1, 2016 - December 1, 2016Designed and implemented calibrated data ingestion pipelines for large-scale CV data annotation, developing Python-based ETL workflows, integrating with internal APIs and third-party data sources. Automated data validation and CI/CD pipelines to ensure data integrity across environments. Collaborated with product teams to optimize data flows powering a SaaS analytics platform.
Senior AI/ML Engineer at Nike
June 1, 2022 - November 6, 2025Remote Nike Senior AI/ML Engineer responsible for designing and deploying production-grade AI initiatives. Designed and deployed Nike's Gen AI Shopping Assistant using LangChain, OpenAI APIs, FAISS/Pinecone, enabling conversational discovery and reducing support handling time by 35%. Built a multi-agent automation system that generated marketing copy, product descriptions, and campaign assets, cutting manual workload by 40%. Launched AI-powered trend forecasting models with PyTorch, boosting trend anticipation. Engineered Nike Fit Predictor (CV + NLP + purchased data) reducing size-related returns by 18% globally. Developed supply chain demand forecasting models with AWS SageMaker + PyTorch Lightning, reducing out-of-stock events by 22%. Automated AI infrastructure using Kubernetes, Terraform, and GitHub Actions to scale to millions of users. Led cross-functional teams, mentored junior engineers, and implemented ML governance with MLflow and Databricks AB testing.
Senior AI/ML Engineer - Remote at UrbInt
June 1, 2022 - June 1, 2022Designed an AI-driven risk surveillance platform processing 200+ CCTV feeds in real time using GCP (Cloud Run, Pub/Sub, Cloud Functions). Fine-tuned LLMs for chatbot-style recruiter recommendations and built synthetic datasets via LangChain + OpenAI for domain adaptation. Delivered CV + NLP parsing platform using Vision API, NLP API, AI Platform, and GKE; supporting large-scale, multi-tenant deployment. Achieved 85% test coverage on ML pipelines using PyTest + Cypress. Architected cloud infrastructure (multi-tenant, HIPAA compliant) on GCP and mentored new team members.
Senior AI/ML Engineer - Hybrid at Optum
November 1, 2020 - November 1, 2020Developed chronic disease risk prediction models (claims + EHR data) with scikit-learn + TensorFlow, improving predictive accuracy by 25%. Built HIPAA-compliant APIs with Flask + FastAPI, integrating models into clinical workflows. Implemented ETL pipelines with PySpark + Airflow, ensuring governance for health care datasets. Designed NLP pipeline for clinical note classification to support clinical decision-making. Deployed retrainable ML services with Azure ML and MLflow on Kubernetes. Created data pipelines for clinical notes classification and collaborated with product teams to optimize data flows powering clinical analytics.
Data Engineer / Onsite at Stealth Health Startup (Chicago, IL)
December 31, 2016 - December 31, 2016Designed and implemented scalable data ingestion pipelines for large-scale annotation data used in computer vision models. Developed Python-based ETL workflows, integrating internal APIs and third-party data sources. Automated data validation and transformation via CI/CD pipelines to ensure data integrity across environments. Collaborated with product teams to optimize data flows powering a SaaS analytics platform.
Senior Gen AI Engineer at Nike
September 1, 2025 - September 1, 2025Designed and deployed Nike's Gen AI shopping assistant using LangChain, OpenAI APIs, and FAISS/Pinecone, enabling conversational discovery and reducing support handling time by 35%. Built a multi-agent automation system that generated marketing copy, product descriptions, and campaign assets, cutting manual workload by 40%. Launched AI-powered trend forecasting + style-matching models with Python, boosting the SNKRS app retention by 30%. Engineered the Fit Predictor service (CV + NLP + purchase data) reducing size-related returns by 18% globally. Developed supply chain demand forecasting models with AWS SageMaker + PyTorch Lightning, reducing out-of-stock events by 22%. Automated Gen AI infrastructure with Kubernetes, Terraform, and GitHub Actions, scaling microservices to millions of users. Led cross-functional teams and mentored junior engineers, establishing ML governance with MLflow and A/B testing.
Senior Gen AI Engineer at Urbint
June 1, 2022 - June 1, 2022Remote AI Engineer at Urbint designing an AI-driven risk surveillance platform processing 200+ CCTV feeds in real time on GCP (Cloud Run, Pub/Sub, Cloud Functions). Fine-tuned LLMs for chatbot-style risk recommendations; built synthetic datasets via LangChain + OpenAI for domain adaptation. Delivered a multi-agent automation system to generate marketing content and assets, reducing turnaround time. Helped architect cloud solutions on GCP and mentored peers.
Data Engineer - Onsite Stealth Startup at Stealth Startup
December 1, 2016 - December 1, 2016Designed and implemented a scalable data ingestion pipeline for large-scale annotation data used in computer vision models. Developed PyTorch-based ETL workflows, integrating with internal APIs and third-party data sources. Automated data validation and transformation processes via CI/CD pipelines to ensure data integrity across environments. Led cloud architecture design (multi-tenant, secure, HIPAA compliant) on GCP and mentored new team members.
Senior Gen AI Engineer - Remote at Nike
June 1, 2022 - September 1, 2025Designed and deployed Nike Gen AI shopping assistant using LangChain, OpenAI APIs, and FAISS/Pinecone, enabling conversational discovery and reducing support handling time by 35%. Built a multi-agent automation system that generated marketing copy, product descriptions, and campaign assets, cutting manual workload by 40%. Launched AI-powered trend forecasting and style-matching models with PyTorch Lightning, boosting SNKRS adoption by 30%. Engineered Nike's Fit Predictor service (CV + NLP + purchased data) reducing size-related returns by 18% globally. Automated Gen AI infrastructure with Kubernetes, Terraform, and GitHub Actions to support scale. Led cross-functional teams and mentored junior engineers; implemented ML governance with MLflow and Databricks A/B testing.
Senior Gen AI Engineer - Remote at URBINT
December 1, 2020 - June 1, 2022Designed an AI-driven risk surveillance platform processing 200+ CCTV feeds in real time on GCP. Fine-tuned LLMs for chatbot-style recommendations and built synthetic datasets via LangChain + OpenAI for domain adaptation. Delivered CV + NLP-based data processing pipelines to support risk assessment and incident detection.
Senior AI Engineer - Hybrid at Optum
January 1, 2017 - November 1, 2020Developed chronic disease risk prediction models (claims + EHR) with scikit-learn + TensorFlow. Built HIPAA-compliant ML APIs with FastAPI/Flask; integrated ETL pipelines with PySpark + Airflow. Deployed HIPAA-compliant ML services on Azure ML and AWS; improved clinical decision support with NLP and CV analytics.
Data Engineer - Onsite at Stealth Health Startup
January 1, 2016 - December 1, 2016Designed a scalable data ingestion pipeline for large-scale annotation data used in computer vision models. Automated data validation and transformation via CI/CD pipelines; collaborated with product teams to optimize data flow in a SaaS analytics platform.
Senior AI/ML Engineer - Remote at Nike
December 1, 2020 - June 1, 2022Designed an AI-driven risk-surveillance platform processing 200+ CCTV feeds in real time using GCP (Cloud Run, Pub/Sub, Cloud Functions). Fine-tuned LLMs for chatbot-style recommendations and built synthetic datasets via LangChain + OpenAI for domain adaptation. Delivered CV + NLP document parsing platform leveraging Vision API, NLP API, AI Platform, and GKE to support large-scale multi-tenant deployments. Achieved 85% test coverage on ML pipelines using PyTest + Cypress. Led cloud-architecture design (multi-tenant, secure, HIPAA-compliant) on GCP and mentored new team members.
Data Engineer at Onsite Stealth Health Startup
January 1, 2016 - December 1, 2016Designed and implemented a scalable data ingestion pipeline for handling large-scale annotation data used in computer vision models. Developed and deployed Python-based ETL workflows, integrating with internal APIs and third-party data sources.
Senior AI Engineer - Remote at Stealth Health Startup
February 1, 2017 - November 1, 2020Developed chronic disease risk prediction models (claims + EHR data) with scikit-learn + TensorFlow, improving predictive accuracy by 25%. Built FHIR/HIPAA-compliant APIs with Flask + FastAPI, integrating models into clinical workflows. Implemented ETL pipelines with PySpark + Airflow, ensuring HIPAA-compliant data handling. Designed NLP pipeline for clinical note classification to support decision-making in healthcare. Deployed ML services with Azure ML + MLflow; collaborated with cross-functional teams and contributed to ML governance with AB testing.
Education
Bachelor of Science in Computer Science at Illinois Institute of Technology
January 1, 2011 - January 1, 2015Bachelor of Science in Computer Science at Illinois Institute of Technology
January 1, 2011 - January 1, 2015Bachelor of Science in Computer Science at Illinois Institute of Technology
January 1, 2011 - January 1, 2015Bachelor of Science in Computer Science at Illinois Institute of Technology
January 1, 2011 - January 1, 2015Bachelor of Science at Illinois Institute of Technology
January 1, 2011 - January 1, 2015Bachelor of Science in Computer Science at Illinois Institute of Technology
January 1, 2011 - January 1, 2015Bachelor of Science in Computer Science at Illinois Institute of Technology
January 1, 2011 - January 1, 2015Bachelor of Science in Computer Science at Illinois Institute of Technology
January 1, 2011 - January 1, 2015Bachelor of Science in Computer Science at Illinois Institute of Technology
January 1, 2011 - January 1, 2015Master of Science in Computer Science at Georgia Institute of Technology
January 1, 2014 - January 1, 2015Master of Science in Computer Science at Georgia Institute of Technology
January 1, 2014 - January 1, 2015Master of Science in Computer Science at Georgia Institute of Technology
January 1, 2014 - January 1, 2015Qualifications
Industry Experience
Software & Internet, Healthcare, Retail, Professional Services, Other, Media & Entertainment, Education, Transportation & Logistics, Manufacturing, Consumer Goods
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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