Available to hire
I am a Senior AI/ML Engineer with over a decade of experience delivering production-grade ML/NLP systems across healthcare, finance, and enterprise software. I design, build, and operate AI models from research to production, focusing on reliability, security, and measurable impact. My work spans end-to-end data pipelines, model development, deployment, and governance, always anchored in real-world clinical and business needs.
I thrive on collaborating with clinicians, product teams, and IT security to translate complex data into practical tools that improve patient care and operational outcomes. I am passionate about responsible AI, scalable MLOps, and empowering teams to move quickly while maintaining compliance and transparency.
Language
Javanese
Advanced
Work Experience
Senior AI/ML Engineer at Mayo Clinic
June 30, 2025 - August 20, 2025Led the end-to-end development of large language model powered clinical AI solutions to improve hospital operations, patient engagement, and care management. Developed custom clinical NLP pipelines to extract standardized medical entities from unstructured reports and built HIPAA-compliant data engineering workflows for real-time analytics and model retraining. Created predictive models for hospital risk factors and deployed AI pipelines using cloud platforms. Automated MLOps and CI/CD workflows ensuring reproducible, monitored deployments while managing a team and coordinating compliance with healthcare privacy standards.
Senior ML Engineer at Insperity
September 30, 2022 - August 20, 2025Delivered over 15 production ML and NLP systems for SaaS, healthcare, and legal tech clients, including document intelligence and fraud detection, using state-of-the-art transformer models and scalable cloud-native data pipelines. Developed RESTful ML APIs and automated CI/CD workflows with MLflow, SageMaker, Docker, and Kubernetes. Led agile teams, mentored junior engineers, and collaborated with stakeholders to implement AI features with KPIs. Created executive dashboards to monitor model performance and business impact.
Software Engineer | ML Engineer at ACI Worldwide
December 31, 2019 - August 20, 2025Developed real-time fraud detection and risk scoring models improving detection rates significantly. Built and optimized large-scale data pipelines for millions of transactions daily, supporting compliance and risk analytics. Created NLP models for document classification and customer support automation, reducing manual workload and improving response times. Integrated ML services into payment platforms with REST APIs and ensured all AI workflows adhered to industry compliance standards. Automated CI/CD pipelines and developed Power BI dashboards for operational insights.
Senior AI/ML Engineer at Mayo Clinic
June 1, 2025 - September 4, 2025Architected and led development of LLM-powered clinical AI solutions leveraging PyTorch and TensorFlow, including custom GPT-3/4 model fine-tuning for clinical dialogs. Designed NLP pipelines with HuggingFace Transformers, spaCy, and MedSpaCy for entity extraction from unstructured medical reports. Built distributed HIPAA-compliant ETL workflows integrating multi-source clinical data using Airflow, Databricks, Azure Data Factory, and Snowflake. Developed predictive models for hospital readmission risk, sepsis detection, and length-of-stay forecasting deployed via Azure ML and Kubernetes. Integrated transformer-based RAG pipelines with vector databases to enable real-time clinical document retrieval and summarization. Automated MLOps CI/CD workflows with MLflow, Docker, Terraform, and Azure DevOps, implementing continuous monitoring for drift and bias. Mentored a team of six engineers and collaborated closely with physicians and compliance teams to meet regulatory requirements.
Senior ML Engineer at Insperity
September 30, 2022 - September 4, 2025Delivered over 15 production ML/NLP systems across enterprise SaaS, healthcare, and legal technology domains using PyTorch, TensorFlow, and scikit-learn. Designed custom transformer-based NLP models (BERT, RoBERTa, GPT-2/3) for entity extraction and document summarization, integrating spaCy and HuggingFace. Engineered cloud-native data pipelines with AWS Glue, Apache Spark, Kafka, and Snowflake supporting batch and real-time analytics. Developed RESTful ML APIs with FastAPI and .NET Core for seamless AI feature integration. Automated ML workflows with SageMaker Pipelines, MLflow, Docker, and Kubernetes (EKS) to improve CI/CD reliability and model management. Implemented monitoring and alerting using Prometheus and Grafana, and led cross-functional teams to translate business needs into scalable AI solutions with executive dashboards built on Tableau and Looker.
Software Engineer | ML Engineer at ACI Worldwide
December 31, 2019 - September 4, 2025Developed and maintained real-time fraud detection and credit risk scoring models using XGBoost, scikit-learn, and Keras, achieving a 17% increase in fraud detection. Built and optimized high-throughput data pipelines with Kafka, Python, and SQL Server for transaction analytics and compliance. Designed NLP models for document classification and customer support automation, reducing manual workload by 30%. Integrated ML inference engines into .NET and Java payment platforms via REST APIs to ensure low-latency and high availability. Automated CI/CD and deployment workflows using Jenkins, Docker, and Azure DevOps, enabling rapid experimentation and rollbacks. Ensured all solutions met PCI DSS and SOC 2 compliance standards, and developed Power BI dashboards for visualizing fraud trends and operational KPIs.
Senior AI/ML Engineer at Mayo Clinic
June 30, 2025 - October 7, 2025Architected and led end-to-end development of LLM-powered clinical AI solutions for hospital operations, patient engagement, and care management. Designed NLP pipelines extracting SNOMED, RxNorm, and LOINC entities from unstructured EHRs, pathology, and radiology reports to support analytics and automated coding. Built HIPAA-compliant ETL/data workflows with Airflow, Databricks, Azure Data Factory, and Snowflake for multi-source data and real-time analytics and model retraining. Developed predictive models for readmission risk, sepsis detection, and length-of-stay forecasting, deployed via Azure ML and AKS. Integrated transformer-based RAG pipelines and vector stores (Pinecone, Azure Cognitive Search) for real-time retrieval of clinical protocols and patient education. Automated MLOps/CI/CD with MLflow, Docker, Terraform, and Azure DevOps with monitoring (Prometheus, Grafana) for drift and bias. Led a team of 6 engineers and collaborated with clinicians, compliance, and IT security to
Senior ML Engineer at Insperity
September 30, 2022 - October 7, 2025Delivered 15+ production ML/NLP systems for enterprise SaaS, healthcare, and legal tech clients. Designed and deployed transformer-based NLP models (BERT, RoBERTa, GPT-2/3) for entity extraction, clause detection, and automated summarization; integrated spaCy/HuggingFace pipelines. Built scalable cloud-native data pipelines with AWS Glue, Spark, Kafka, and Snowflake for batch and real-time analytics and multi-tenant compliance reporting. Developed RESTful ML APIs using FastAPI and .NET Core; automated ML workflows with SageMaker Pipelines, MLflow, Docker, and Kubernetes (EKS). Implemented monitoring with Prometheus and Grafana; led cross-functional teams in agile sprints; created executive dashboards with Tableau/Looker for model performance and business impact.
Software Engineer | ML Engineer at ACI Worldwide
December 31, 2019 - October 7, 2025Developed and maintained real-time fraud detection, credit risk scoring, and anomaly detection models for global payments using XGBoost, scikit-learn, and Keras; achieved improvements in fraud detection rates. Built high-throughput data pipelines (Kafka, Python, SQL Server) for ingestion and analysis of millions of daily transactions. Designed NLP models for automated document classification and ticket routing; integrated ML inference into .NET/Java platforms via REST APIs. Automated CI/CD and deployment with Jenkins, Docker, and Azure DevOps; ensured PCI DSS and SOC 2 compliance; created Power BI dashboards for fraud trends and risk KPIs.
Senior AI/ML Engineer at Mayo Clinic
June 1, 2025 - October 7, 2025Architected and led end-to-end development of LLM-powered clinical AI solutions for hospital operations, patient engagement, and care management. Built NLP pipelines with HuggingFace Transformers, spaCy, and MedSpaCy to extract SNOMED, RxNorm, and LOINC from unstructured EHR, pathology, and radiology reports. Implemented HIPAA-compliant ETL/data pipelines with Airflow, Databricks, Azure Data Factory, and Snowflake for real-time analytics and model retraining. Deployed predictive models for readmission risk, sepsis detection, and length-of-stay forecasting using LSTM/GRU, via Azure ML and AKS. Integrated RAG pipelines and vector databases (Pinecone, Azure Cognitive Search) for real-time retrieval of protocols and patient education. Established MLOps with MLflow, Docker, Terraform, Azure DevOps; monitored drift and bias.
Senior ML Engineer at Insperity
September 1, 2022 - October 7, 2025Delivered 15+ production ML/NLP systems for enterprise SaaS, healthcare, and legal tech clients, including document intelligence, contract review, personalization, and fraud detection. Built transformer-based models (BERT, RoBERTa, GPT-2/3) for entity extraction, clause detection, and automated summarization; integrated spaCy and HuggingFace pipelines. Engineered cloud-native data pipelines (AWS Glue, Spark, Kafka, Snowflake) for batch and real-time analytics across multi-tenant platforms. Developed RESTful ML APIs with FastAPI and .NET Core; automated ML workflows with SageMaker Pipelines, MLflow, Docker, and Kubernetes. Implemented monitoring with Prometheus and Grafana; created executive dashboards with Tableau/Looker.
Software Engineer / ML Engineer at ACI Worldwide
December 1, 2019 - October 7, 2025Developed real-time fraud detection, credit risk scoring, and anomaly detection models for global payments using XGBoost, scikit-learn, and Keras. Built high-throughput data pipelines (Kafka, Python, SQL Server) for millions of transactions and risk analytics. Designed NLP models for document classification and customer support routing; integrated ML inference into .NET/Java platforms via REST APIs for low-latency scoring. Implemented CI/CD with Jenkins, Docker, and Azure DevOps; ensured PCI DSS and SOC 2 compliance. Created Power BI dashboards for real-time visualization of fraud trends and risk KPIs.
Senior AI/ML Engineer at Mayo Clinic
June 1, 2025 - October 9, 2025Architected and led end-to-end development of LLM-powered clinical AI solutions for hospital operations, patient engagement, and care management. Designed NLP pipelines to extract SNOMED, RxNorm, and LOINC entities from unstructured EHR, pathology, and radiology reports; built HIPAA-compliant ETL and data workflows for real-time analytics and model retraining. Developed predictive models for readmission risk, sepsis detection, and length-of-stay forecasting, deployed via Azure ML and Kubernetes. Integrated transformer-based RAG pipelines and vector databases (Pinecone, Azure Cognitive Search) to enable real-time retrieval and summarization of clinical protocols and patient education. Automated MLOps with MLflow, Docker, Terraform, and Azure DevOps, with monitoring for drift and bias. Mentored a team of 6, collaborating with physicians and IT security to meet HIPAA/hitech requirements.
Senior ML Engineer at Insperity
September 1, 2022 - October 9, 2025Delivered 15+ production ML/NLP systems for enterprise SaaS, healthcare, and legal tech clients, including document intelligence, contract review, and fraud detection. Built transformer-based models (BERT, RoBERTa, GPT-2/3) for entity extraction, clause detection, and automated summarization, integrating spaCy and HuggingFace pipelines. Engineered cloud-native data pipelines with AWS Glue, Apache Spark, Kafka, and Snowflake; developed RESTful ML APIs via FastAPI and .NET Core for client integration. Automated end-to-end ML workflows with SageMaker Pipelines, MLflow, Docker, and Kubernetes (EKS), plus monitoring with Prometheus and Grafana.
Software Engineer | ML Engineer at ACI Worldwide
December 31, 2019 - October 9, 2025Developed and maintained real-time fraud detection, credit risk scoring, and anomaly detection models for global payments, achieving significant improvements in fraud detection. Built high-throughput data pipelines (Kafka, Python, SQL Server) for millions of daily transactions. Designed NLP models for automated document classification and support ticket routing; integrated ML inference into .NET/Java payment platforms for low-latency scoring. Implemented CI/CD and rollout strategies with Jenkins, Docker, and Azure DevOps; ensured PCI DSS and SOC 2 compliance; created Power BI dashboards for executive monitoring.
Senior AI/ML Engineer at Mayo Clinic
June 1, 2025 - October 15, 2025Led end-to-end development of LLM-powered clinical AI solutions for hospital operations, patient engagement, and care management. Built custom models using PyTorch and TensorFlow, including GPT-3/4 fine-tuning for clinical dialog and summarization. Designed NLP pipelines with HuggingFace, spaCy, and MedSpaCy to extract SNOMED, RxNorm, and LOINC entities from unstructured EHR, pathology, and radiology reports. Implemented HIPAA-compliant ETL with Airflow, Databricks, Azure Data Factory, and Snowflake for multi-source data integration and model retraining. Deployed predictive models (readmission risk, sepsis detection, length of stay) via Azure ML and Kubernetes. Integrated RAG pipelines and vector databases (Pinecone, Azure Cognitive Search) for real-time retrieval. Established MLOps with MLflow, Docker, Terraform, and Azure DevOps; added monitoring (Prometheus, Grafana) for drift and bias; mentored a team of 6; collaborated with compliance and IT security to meet HIPAA/HITECH and audit
Senior ML Engineer at Insperity
September 1, 2022 - October 15, 2025Delivered 15+ production ML/NLP systems for enterprise SaaS, healthcare, and legal tech clients, including document intelligence, contract review, personalized recommendations, and fraud detection. Developed transformer-based NLP models (BERT, RoBERTa, GPT-2/3) for entity extraction, clause detection, and automated summarization, integrating spaCy and HuggingFace pipelines. Engineered scalable, cloud-native data pipelines with AWS Glue, Apache Spark, Kafka, and Snowflake for batch and real-time analytics across multi-tenant platforms and compliance reporting. Built RESTful ML APIs with FastAPI and .NET Core; automated ML workflows with SageMaker Pipelines, MLflow, Docker, and Kubernetes (EKS). Implemented monitoring with Prometheus and Grafana; led cross-functional teams in agile sprints; delivered executive dashboards with Tableau and Looker.
Software Engineer | ML Engineer at ACI Worldwide
December 1, 2019 - October 15, 2025Developed real-time fraud detection, credit risk scoring, and anomaly detection models for global payment processing using XGBoost, scikit-learn, and Keras; built high-throughput data pipelines (Kafka, Python, SQL Server) for ingesting and analyzing millions of daily transactions. Designed and deployed NLP models for automated document classification, customer support ticket routing, and sentiment analysis, reducing manual triage workload. Integrated ML inference into .NET and Java platforms via REST APIs for low-latency scoring. Automated CI/CD and model deployment with Jenkins, Docker, and Azure DevOps; collaborated with security and risk teams to ensure PCI DSS and SOC 2 compliance; created Power BI dashboards for real-time fraud trends and risk KPIs.
Senior Software Engineer | Senior Machine Learning Engineer at ScienceSoft
June 1, 2025 - October 15, 2025Architected a multi-tenant retrieval-augmented generation (RAG) copilot on AWS enabling secure ingestion of SharePoint and Google Drive data per tenant; embedded documents with transformer-based models and stored vectors in Pinecone (with metadata in PostgreSQL) for robust, tenant-isolated Q&A. Built a hybrid retrieval system combining dense vector search with keyword indexing; implemented LangChain-based query rewrites and late-chunking to optimize answer precision and context size for LLM responses. Engineered advanced NLP pipelines for document embedding, semantic search, and context-aware query rewriting, significantly improving retrieval accuracy and LLM response quality across enterprise data. Containerized the end-to-end solution, including the file-ingestion pipeline, Copilot UI, and databases; deployed on Amazon EKS behind Nginx, maintaining p95 latency ≤ 350 ms at scale (1M+ embeddings). Developed and maintained ETL pipelines using Apache Spark and Airflow to process struct
Senior Software Engineer | Senior Machine Learning Engineer at Tapcheck Inc.
May 1, 2022 - October 15, 2025Developed and optimized computer vision models for facial verification and liveness detection using PyTorch, OpenCV, and MTCNN. Built and maintained fraud detection pipelines with XGBoost and LightGBM, processing large transaction datasets in Spark and Hive. Designed feature engineering workflows in PySpark for time-series and behavioral data, improving fraud and churn prediction models. Automated model retraining and deployment with Airflow and Kubernetes, implementing CI/CD for reproducible releases. Developed hybrid edge-cloud inference systems using Docker and AWS Fargate for low-latency ML model serving. Set up monitoring dashboards in Grafana and Kibana to track model performance and drift. Collaborated with backend and mobile engineers to integrate ML APIs and optimize real-time inference. Documented model APIs, data pipelines, and deployment processes for team use.
Software Engineer | Data Scientist/ML Engineer at Hallmark Health Care Solutions
March 1, 2020 - October 15, 2025Designed and implemented deep learning models for automated cell counting in pathology images using PyTorch and TensorFlow, improving accuracy and efficiency in medical imaging analysis. Developed optimization algorithms for medical device parameter tuning, enhancing device performance and reliability. Applied anomaly detection techniques to sensor and camera data for hospital facility monitoring, ensuring operational safety. Automated ETL pipelines and preprocessing workflows for large-scale medical image and EHR datasets using Apache Spark and Airflow. Integrated conversational AI models with EHR and CRM systems to streamline appointment scheduling and patient triage. Implemented access controls and ensured PHI compliance in ML workflows. Developed interactive dashboards for model outputs and operational metrics using Tableau and Power BI. Mentored junior engineers and interns in machine learning best practices, data pipeline development, and production deployment.
Senior AI/ML Engineer at Mayo Clinic
June 1, 2025 - June 1, 2025Architected and led end-to-end development of LLM-powered clinical AI solutions for hospital operations, patient engagement, and care management. Implemented NLP pipelines to extract SNOMED, RxNorm, and LOINC entities from unstructured EHR, pathology, and radiology reports; built HIPAA-compliant ETL/data pipelines with Airflow, Databricks, Azure Data Factory, and Snowflake for multi-source integration and real-time analytics. Developed predictive models for readmission risk, sepsis detection, and length-of-stay forecasting using time-series deep learning (LSTM, GRU) and survival analysis, deployed via Azure ML and Kubernetes (AKS). Integrated transformer-based RAG pipelines and vector databases (Pinecone, Azure Cognitive Search) for real-time retrieval of clinical protocols and patient education materials. Automated MLOps and CI/CD with MLflow, Docker, Terraform, and Azure DevOps; monitoring with Prometheus and Grafana for drift and bias detection. Mentored a team of 6 engineers; colla
Senior ML Engineer at Insperity
September 1, 2022 - September 1, 2022Delivered 15+ production ML/NLP systems for enterprise SaaS, healthcare, and legal tech clients, including document intelligence, contract review, personalized recommendations, and fraud detection, using PyTorch, TensorFlow, and scikit-learn. Designed transformer-based NLP models (BERT, RoBERTa, GPT-2/3) for entity extraction, clause detection, and automated summarization of legal, insurance, and medical documents. Engineered cloud-native data pipelines with AWS Glue, Apache Spark, Kafka, and Snowflake, supporting batch and real-time analytics for multi-tenant platforms and compliance reporting. Developed RESTful ML APIs with FastAPI and .NET Core; automated ML workflows with SageMaker Pipelines, MLflow, Docker, and Kubernetes (EKS). Implemented monitoring with Prometheus and Grafana; led agile, cross-functional teams; built executive dashboards with Tableau and Looker for real-time model performance and business impact.
Software Engineer | ML Engineer at ACI Worldwide
December 1, 2019 - December 1, 2019Developed real-time fraud detection, credit risk scoring, and anomaly detection models using XGBoost, scikit-learn, and Keras; designed high-throughput data pipelines (Kafka, Python, SQL Server) for millions of daily transactions. Built NLP models for automated document classification, customer support ticket routing, and sentiment analysis. Integrated ML inference into .NET and Java payment platforms via REST APIs; automated CI/CD and deployment with Jenkins, Docker, and Azure DevOps. Collaborated with security, compliance, and risk teams to meet PCI DSS and SOC 2 requirements; created Power BI dashboards for real-time fraud trends and risk KPIs.
Education
B.S. in Computer Science at Vanderbilt University
January 11, 2030 - August 20, 2025M.S. in Computer Science at Vanderbilt University
January 11, 2030 - August 20, 2025B.S. in Computer Science at Vanderbilt University
January 11, 2030 - September 4, 2025M.S. in Computer Science at Vanderbilt University
January 11, 2030 - September 4, 2025B.S. in Computer Science at Vanderbilt University
January 11, 2030 - October 7, 2025M.S. in Computer Science at Vanderbilt University
January 11, 2030 - October 7, 2025B.S., M.S. in Computer Science at Vanderbilt University
January 11, 2030 - October 7, 2025B.S. in Computer Science at Vanderbilt University
January 11, 2030 - October 9, 2025M.S. in Computer Science at Vanderbilt University
January 11, 2030 - October 9, 2025B.S., M.S. in Computer Science at Vanderbilt University
January 11, 2030 - October 15, 2025M.S. in Computer Science at Vanderbilt University
January 1, 2008 - January 1, 2010B.S. in Computer Science at Vanderbilt University
January 1, 2004 - January 1, 2008B.S., M.S. in Computer Science at Vanderbilt University
January 11, 2030 - November 17, 2025Qualifications
Industry Experience
Healthcare, Professional Services, Financial Services, Software & Internet, Education, Life Sciences
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