Available for AI / Generative AI roles
AI Engineer architecting enterprise RAG and multi-agent systems.
6+ years from ETL and data engineering to production Generative AI. I build RAG pipelines, autonomous agent platforms, and LLM-powered services for Banking, Healthcare, and Technology, all cloud-native on Azure and GCP.
Turning language models into systems the enterprise runs on
I'm an AI Engineer with 6+ years of progressive experience, from ETL and data engineering into architecting enterprise Generative AI systems. I build production-grade RAG pipelines, multi-agent orchestration platforms, and LLM-powered applications across Banking, Healthcare, and Technology.
The part I care about is what happens after the prototype: hybrid retrieval that stays grounded, agent workflows that can be reasoned about, and Azure-first infrastructure with governance, evaluation, and observability once real traffic arrives.
- Location
- New York, NY, US
- Focus
- RAG, multi-agent systems, MLOps
- Education
- M.S. Computer Software Engineering
- Cloud
- Azure, GCP, AWS
- Status
- Open to new roles
Tools I work with
Core stack
Detailed breakdown
AI & LLMs
RAG & Search
Languages, Frameworks & Libraries
ML & Statistics
Cloud & Infrastructure
Data & ETL
Databases
MLOps & Tools
Visualization & BI
Selected projects
A selection of AI, Web3, and developer-tooling projects, all open source on GitHub.
Shipped AI artifacts
Production systems delivered inside enterprise engagements: the work behind the roles below.
Enterprise RAG Pipeline
LangChain · Embeddings · pgvector
Document ingestion, chunking, metadata tagging, semantic search, and retrieval optimization, improving retrieval relevance and reducing incomplete responses across enterprise knowledge at Humanity Labs.
Wealth-Management Agentic Workflow
Amazon Bedrock · Agentic AI
Converted manual operations into autonomous workflows that navigate steps, process documents, update tracking files, trigger system actions, and produce auditable outputs for stakeholder review.
Healthcare Clinical AI Prototype
Azure OpenAI · GPT-4
Real-time speech-to-text front end, a 180-entity clinical extraction workflow, citation-aware response generation, and confidence scoring, delivered end to end at Crayon.
Insurance & Legal RAG Chatbots
GPT · RAG · Citations
Citation-aware answers for internal employee knowledge workflows and external website inquiry experiences, with custom retrieval logic and conversational UX.
AI Backend Services
Python · FastAPI
APIs powering document ingestion, semantic search, response generation, and workflow execution for production AI application features.
Where I have worked
Gen AI Engineer
Jan 2026 – PresentWells Fargo · Charlotte, NC
- Architected a scalable Generative AI platform with RAG pipelines, LangGraph agent orchestration, and Azure OpenAI for enterprise knowledge retrieval and autonomous task execution.
- Built autonomous AI agents on orchestration frameworks aligned with the Microsoft Agent Development Kit (ADK), enabling contextual reasoning, workflow automation, and operational monitoring.
- Engineered end-to-end RAG (document ingestion, chunking, OpenAI embeddings, vector storage, and hybrid retrieval) for grounded semantic Q&A at scale.
- Developed a multi-stage Python ETL pipeline on Azure Functions for sitemap discovery, HTML/PDF extraction, and concurrent processing with metadata in Azure SQL.
- Built FastAPI services and an MCP/FastMCP HTTP gateway on Azure App Service to standardize governed tool access for LLM agents.
- Optimized API performance and reliability through async processing, vector store integration, and SRE/SLO-aligned monitoring.
- Deployed Azure-first infrastructure (Functions, Azure SQL, TypeScript, Terraform, Key Vault) with scheduled crawls and delta updates across staging and production.
Data Scientist / AI Engineer
Jun 2024 – Dec 2025FedEx · Memphis, TN
- Designed and deployed a distributed multi-agent AI platform for Competitive Intelligence, integrating SharePoint, external feed APIs, web search, and Excel with text/image extraction pipelines.
- Built enterprise Agentic AI solutions with LangGraph, the OpenAI Agent SDK, and Azure AI services for reasoning, task orchestration, and contextual decision-making.
- Developed enterprise search and RAG pipelines on Azure AI Search (hybrid vector + keyword) across SharePoint, Teams, APIs, and web sources for real-time semantic Q&A.
- Architected multi-agent workflows for autonomous retrieval, planning, reasoning, and execution over large enterprise datasets and external intelligence sources.
- Delivered a Snowflake-backed GTM analytics assistant using FastAPI, GraphQL, and LangGraph agents for autonomous SQL generation, execution, and streaming responses.
- Implemented LLM governance, observability, and evaluation frameworks (MLflow, Promptfoo) for agent monitoring, safety validation, and model evaluation.
- Managed Azure AI infrastructure, API integrations, LiteLLM routing, RBAC, and PII/PHI protection for secure enterprise deployment.
Jr. Data Analyst
Mar 2019 – Aug 2023Amazon · India
- Architected enterprise-scale data platforms for reliable ingestion, transformation, and delivery of high-volume customer data.
- Designed end-to-end ETL frameworks with Informatica PowerCenter and IDQ, built for scalability, fault tolerance, and data-quality governance.
- Led real-time streaming architecture on Kafka (Confluent) for CDC pipelines from MDM to downstream systems, integrated with GCP Pub/Sub and BigQuery.
- Automated complex workflows with Python and Airflow; led the IDQ platform upgrade (10.2 → 10.4) for a 12% performance improvement.
- Defined data architecture standards covering data modeling, pipeline orchestration, and metadata management.
Education & certifications
M.S., Computer Software Engineering
Aug 2023 – May 2025Cleveland State University · Cleveland, OH
Certifications
Let’s work together
Open to AI / Generative AI engineering roles. Email is the fastest way to reach me.