About
AI Engineer with deep expertise in architecting multi-stage LLM workflows, RAG pipelines, and agentic development tooling. Proficient in Python, Django, and React. Experienced in leveraging AI to streamline development processes, accelerate engineering velocity, and significantly reduce cycle times.
Technical Skills
Full Stack Development
AI Engineering & Gen-AI
AI Engineering Focus
Agentic AI Systems
Multi-stage LLM workflows with generation, evaluation, reflection, and retry loops for production-ready systems
RAG & Orchestration
Build RAG systems using LangChain and vector databases to synthesize qualitative and quantitative data
AI-First Development
Lead development using agentic tooling (Cursor, Claude Code, Codex) with MCP context injection
Quality & Evaluation
Automated quality gates with regeneration loops to improve output consistency and reduce hallucinations
Experience
Full Stack Software Engineer
DevClarity
- Architected agentic, multi-stage LLM workflows (generation, evaluation, reflection, retry) for performance reviews and 1:1 intelligence
- Built RAG and orchestration pipelines using LangChain and Pinecone to synthesize qualitative and quantitative data into structured artifacts
- Designed DDD-aligned architecture separating domain models, LLM orchestration, and infrastructure for testability and maintainability
- Led AI-first development using agentic tooling (Cursor, Claude Code, Codex, Windsurf) with MCP context injection
Software Engineer II
Constant Contact
- Built and maintained large-scale React and Rails systems for an enterprise marketing platform
- Implemented Playwright end-to-end tests for critical user flows with selector-driven strategies
- Strengthened release quality by expanding integration-level coverage across frontend, API, and data layers
Software Engineer I
NXTsoft
- Designed and deployed a Python/Django geo-targeted marketing platform attracting high-quality inbound leads
- Integrated third-party APIs using Python/Django for seamless data connections across systems
- Refactored legacy Ruby on Rails code, improving page load performance by up to 73%
Software Engineer
Kinetic Ink
- Developed scalable APIs using Python and Django Rest Framework for web and mobile integrations
- Built responsive React components with dynamic API-driven data for interactive user experiences
- Delivered a Progressive Web App (PWA) for offline access and mobile-native experience
Certifications & More
AWS Certified Developer
DVA · Credential ID: 6ZH8833CMB111PWS
Proficiency in developing, deploying, and debugging cloud-based applications using AWS
Community Involvement
Passion City Church · Atlanta, GA
Co-lead young adults small group, manage live audio operations for worship gatherings