AI Engineer.

Senior AI/Software Engineer with 8+ years building production-grade AI and distributed systems. Specialized in LLMs, RAG, agentic AI pipelines, and natural-language interfaces — based in Queens, NY.

About.

Senior AI/Software Engineer with 8+ years building production-grade AI and distributed systems. Specialized in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI pipelines, and natural-language interfaces. Hands-on with GPT-4, GPT-4o, LangChain, Azure AI / Vector Store, prompt engineering, and end-to-end MLOps. Track record of securing stakeholder buy-in, leading cross-functional teams, and delivering measurable business outcomes at enterprise scale.

Experience.

Senior AI / Software Engineer

Evernorth (Cigna) — New York, NY

Oct 2019 – Present

  • GenAI & LLM Leadership: Technical lead for all GenAI/LLM initiatives — architected an agentic Scenario Agent (LangChain + GPT-4o) that orchestrates existing APIs for in-product scenario creation (secured full stakeholder buy-in), and shipped a GPT-4-powered natural-language query interface giving senior leadership self-serve access to complex analytics data.
  • RAG Pipeline & AI Chatbot Productionization: Led end-to-end productionization of an enterprise AI chatbot (GPT-4o) through a rigorous internal Center of Excellence (CoE) production readiness review. Built a full RAG pipeline with LangChain, agentic retrieval, and Azure Vector Store; engineered a custom web crawler with intelligent chunking and data-cleaning logic for high-quality embeddings and reliable retrieval.
  • Scalable Backend & Distributed Systems: Designed high-throughput distributed backend (Python, PostgreSQL, AWS, MongoDB) supporting 1,000+ facilities each processing ~10,000 claims. Built responsive React.js frontends with Cypress end-to-end testing for rigorous quality assurance.
  • ETL & Data Engineering: Built AWS Batch, AWS Glue, and Docker ETL pipelines ingesting and transforming 150k+ hospital contracts, validated against 10M+ historical claims with 90% test coverage from scratch — earning the Dragon Award for significantly enhancing user experience and trust.
  • Feature Expansion & Database Migration: Introduced pinpoint contract analysis and comparison features, migrated from a non-relational to a relational (PostgreSQL) database, and integrated Ambulatory Payment Classification (APC) payment systems — growing the user base to 1,000+ contractors org-wide.
  • Technical Leadership & Mentorship: Spearheaded multiple projects from inception to production, owning requirements gathering, architecture, and delivery. Mentored junior engineers and introduced AI-assisted developer workflows that measurably improved team velocity.

Software Engineer — Web Applications

AT&T — Durham, NC

July 2016 – May 2019

  • Full-Stack Development: Built and maintained a large-scale internal web application for AT&T, integrating multiple internal tools into a unified platform and delivering 400+ story points across features and bug fixes, earning commendations for exceptional performance.
  • Technology Stack: Developed using Ember.js, React.js, and Perl, ensuring scalability, reliability, and consistent cross-browser performance.
  • Database & Systems Integration: Integrated 25 SQL Server databases (200+ tables) into a complex ticketing system; managed security permissions and access control for thousands of users, user groups, and global clients.
  • Code Quality: Performed daily code reviews for efficiency, correctness, and maintainability using CodeCloud, consistently maintaining high engineering standards across the team.

Skills.

AI / ML

LLMs (GPT-4, GPT-4o), RAG, LangChain, Agentic AI, Prompt Engineering, Embeddings, Vector Databases, NLP, Azure AI / Azure Vector Store, Generative AI, MLOps

Languages

Python, JavaScript, Java, Kotlin, Swift, Rust

Backend

Django, Flask, REST APIs, Microservices

Frontend

React.js, Angular, Ember.js

Databases

PostgreSQL, MySQL, MongoDB, Azure Vector Store

Cloud / DevOps

AWS (Batch, Glue, S3, Lambda), Azure, Docker, Terraform, CI/CD

Education.

B.S., Electrical Engineering

CUNY City College — New York, NY

Relevant Coursework: Algorithms, Numerical Analysis, C++ for Engineers

Contact.

Interested in working together or have a question? Feel free to reach out.