Available to hire
Senior AI-native software engineer with 9 years of experience building production software products, AI-powered applications, and scalable SaaS platforms. Experienced in translating ambiguous business objectives into technical workflows, AI architecture, implementation plans, and production-ready solutions.
Hands-on expertise across Python/FastAPI and cloud-native backends, LLM applications (RAG and agentic workflows), and production MLOps/LLMOps practices. Proven collaboration across product, engineering, design, and business stakeholders to deliver secure, maintainable, observable AI systems in complex environments.
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Work Experience
Senior AI-Platform & GenAI Engineer at GenAI platform & Agentic AI Engineer (Apple Owned development)
May 1, 2024 - PresentOwned development and evolution of enterprise GenAI product capabilities by translating business objectives into technical workflows, AI architecture decisions, implementation plans, and production-ready solutions. Partnered with AI engineering, product, platform, and data teams to define user workflows, technical requirements, tradeoffs, and scalable AI-enabled experiences. Designed and developed reusable AI services and backend capabilities using Python, FastAPI, Kubernetes, Docker, and cloud-native architectures for LLM applications, RAG workflows, and agentic AI experiences. Built agentic workflows with retrieval pipelines, vector search, prompt orchestration, tool execution, and multi-agent patterns; improved automation, knowledge discovery, and intelligent UX. Used AI-assisted development for accelerating implementation, debugging, refactoring, testing, documentation, and architectural exploration while validating output quality. Designed production workflows covering APIs, integ
Senior Full Stack AI/ML Engineer at Deloitte
May 1, 2024 - PresentDevelopment and evolution of enterprise GenAI product capabilities by translating broad business objectives into technical workflows, AI architecture decisions, implementation plans, and production-ready solutions. Partnered with AI engineering, product, platform, and data teams to define user workflows, identify technical requirements, evaluate tradeoffs, and deliver scalable AI-enabled product experiences. Designed and developed reusable AI services and backend capabilities using Python, FastAPI, Kubernetes, Docker, and cloud-native architectures for LLM applications, RAG workflows, and agentic AI experiences. Built AI-enabled workflows using retrieval pipelines, vector search, prompt orchestration, tool execution, and multi-agent patterns to improve automation and intelligent user experiences. Designed production workflows covering APIs/integrations, data flows, permissions, validation, and operational controls. Improved RAG-based applications via ingestion optimization, embeddings,
Senior AI-Native Software Engineer at Deloitte
May 1, 2024 - PresentOwned delivery of AI-powered enterprise applications by translating client goals into product workflows, technical designs, implementation strategies, and production-ready software solutions. Designed and developed full-stack AI applications (Python/FastAPI/Django, REST APIs, databases, cloud services, LLM technologies) to support business workflows and intelligent user experiences. Built RAG and semantic search solutions using document ingestion, embeddings, vector databases, retrieval pipelines, prompt engineering, and response quality improvements. Developed AI service layers and backend integrations with orchestration frameworks and scalable architectures, focusing on maintainability, security, performance, and future product growth. Collaborated with architects, engineers, product owners, designers, and business stakeholders to define solutions, challenge assumptions, and communicate tradeoffs while delivering scalable outcomes.
Multi-Agent Task Automation Framework Engineer at AgentFlow (agentfloww.com)
January 1, 2024 - January 1, 2024Designed and built a multi-agent orchestration framework using LangGraph where specialized AI agents collaborate to decompose complex tasks, delegate subtasks, execute tool calls, and route decisions through human-in-the-loop review checkpoints before finalizing outputs.
Senior Full Stack AI/ML Engineer at Deloitte
January 1, 2023 - April 30, 2024Owned delivery of AI-powered enterprise applications by translating client goals into product workflows, technical designs, implementation strategies, and production-ready software solutions. Designed and built full-stack AI applications using Python, FastAPI, Django, REST APIs, databases, cloud services, and LLM technologies. Implemented RAG and semantic search using document ingestion, embeddings, vector databases, retrieval workflows, and prompt engineering. Developed AI service layers and backend integrations with orchestration frameworks and scalable architectures while considering maintainability, security, and performance. Collaborated with architects, engineers, product owners, designers, and business stakeholders to understand user needs, challenge assumptions, define solutions, communicate tradeoffs, and deliver outcomes.
Backend/Distributed Systems Engineer at JPMorgan Chase & Co
October 1, 2019 - January 31, 2023Built scalable backend services and internal financial platforms using Python, Django, Flask, and REST APIs supporting secure transaction processing and data access workflows for enterprise banking operations across distributed systems. Developed service-oriented and event-driven architectures using Apache Kafka and RabbitMQ with Python microservices to improve async processing and decouple business services. Optimized database-backed applications using PostgreSQL/MySQL/MongoDB/Cassandra with SQL tuning, indexing, partitioning, and caching to improve performance for high-volume workloads. Built data ingestion/ETL pipelines using Python/Pandas/NumPy/SQL for analytics, reporting, risk analysis, and ML. Supported ML use cases such as fraud detection and risk scoring with feature engineering, evaluation, and model development using Scikit-learn/PyTorch and statistical analysis/visualization. Integrated ML outputs via REST inference services and microservice patterns for real-time decision
Backend Python Engineer (Data Platforms & Distributed Systems) at JPMorgan Chase & Co
October 1, 2019 - January 31, 2023Built backend services and internal financial platforms supporting secure data access and transaction processing across distributed systems. Implemented event-driven architectures with Kafka/RabbitMQ and Python microservices to enable asynchronous processing and decoupling. Developed ETL/data transformation pipelines for large-scale financial data preparation for analytics and ML. Delivered database-optimized applications and ML-enabled inference services via REST APIs, integrating models into enterprise workflows and enabling decision support and automated risk evaluation.
Backend/Data Engineer
February 1, 2017 - September 30, 2019Supported integration of machine learning and Generative AI solutions with enterprise applications, document repositories, databases, and cloud services to build AI-powered assistants for retrieval, summarization, classification, and automation. Built document processing pipelines using text extraction, embeddings, vector indexing, semantic search, and RAG. Developed ML models for predictive analytics, classification, anomaly detection, and feature engineering using Scikit-learn/TensorFlow/PyTorch/Pandas/NumPy/SQL. Designed and deployed AI/ML solutions using SageMaker/Bedrock, Lambda, EC2, S3, IAM, CloudWatch, Azure ML, Docker, Kubernetes, and Terraform. Exposed models via Python/FastAPI REST APIs with secure authentication, monitoring, and scalable deployment patterns. Implemented MLOps with Docker/Kubernetes/Git/MLflow/CI-CD, automated testing, model versioning, deployment automation, and monitoring. Added model monitoring, drift detection, CloudWatch alerting, retraining workflows,
Senior Software Engineer (AI/ML/Cloud/Full Stack) at JPMorgan Chase & Co
February 1, 2017 - January 31, 2023Built scalable backend services and internal financial platforms using Python (Django/Flask) and REST APIs to support secure transaction processing and enterprise banking operations across distributed systems. Developed service-oriented and event-driven architectures using Apache Kafka and RabbitMQ with Python microservices to improve asynchronous processing and decouple business services. Designed and optimized database-backed applications with PostgreSQL/MySQL/MongoDB/Cassandra, including indexing/query tuning/partitioning and caching to improve performance for high-volume workloads. Implemented data ingestion/ETL/transformation pipelines using Python/Pandas/NumPy/SQL and batch processing workflows for analytics, reporting, and ML initiatives. Supported ML use cases (fraud/anomaly detection, risk scoring, predictive analytics) with feature engineering and model evaluation using scikit-learn, PyTorch, and related tooling. Integrated ML outputs into backend systems through REST inferen
Education
Master’s degree at University (unspecified)
January 11, 2030 - August 20, 2026Machine Learning / MLOps Engineering (specialization/certification level) at Institution (unspecified)
January 11, 2030 - August 20, 2026Machine Learning Engineer / MLOps Engineer at HCA HealthCare
January 11, 2030 - August 20, 2026Qualifications
Microsoft Certified: Azure AI Engineer Associate
January 11, 2030 - August 20, 2026Databricks Certified Generative AI Engineer Associate
January 11, 2030 - August 20, 2026IBA (Institute of Business Administration) — Integrated machine learning and Generative AI solutions (certification/program)
January 11, 2030 - August 20, 2026Master’s of Computer Science
January 11, 2030 - August 20, 2026Microsoft Certified: Azure AI Engineer Associate
January 11, 2030 - August 20, 2026Databricks Certified Generative AI Engineer Associate
January 11, 2030 - August 20, 2026Institutue of Business Administration (IBA)
January 11, 2030 - August 20, 2026Industry Experience
Software & Internet, Financial Services, Healthcare, Professional Services
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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