Experience

AI engineering, full-stack development, and research — most roles link to an in-depth write-up of what was built.

ICNA Relief

Full-Stack Engineer · Remote

Mar 2026 – Present

Architected a Laravel 12 health fair operations platform unifying client search, registration, and multi-station clinical screenings (blood pressure, lipids, glucose/A1c, anemia) into a single volunteer workflow that syncs to Salesforce in real time during live community health events.
Engineered a resilient Salesforce Apex REST integration using OAuth 2.0 client credentials with cached token lifecycle management, automatic 401 recovery, and configurable HTTP retries.
Containerized production deployment with multi-stage Docker builds (PHP 8.3-FPM, Nginx, MySQL 8.4, Traefik + Let's Encrypt) for reliable HTTPS hosting in the field.

Full-Stack Engineer · Hybrid · Midlothian, VA

Nov 2025 – Mar 2026

Architected a high-concurrency bidding engine using row-level serialization (SELECT … FOR UPDATE) to guarantee zero race conditions during high-frequency bidding wars, eliminating double-spending risks.
Engineered a hybrid search system combining relational filtering with AI-powered vector similarity search (pgvector + ImageBind embeddings) for semantic discovery of visually similar artworks.
Built an end-to-end type-safe RPC layer with Hono and oRPC, achieving 100% type safety across the stack and eliminating runtime data validation errors.

AI Intern · Glen Allen, VA

May 2025 – Present

Engineered and deployed AI text-to-speech processing pipelines, identifying optimal voice synthesis models and configuring them for production — a 70% improvement in audio generation speed and 50% less manual configuration time.
Spearheaded integration and deployment of custom-trained TTS models onto Microsoft Azure, enabling scalable voice services with 99.9% uptime and supporting expansion into multilingual voice use cases.
Reduced inference latency by 40% through model selection and infrastructure optimization, and replaced weekly manual model uploads with automated CI/CD deployment.

AI Engineer · Midlothian, VA

Jan 2025 – May 2025

Architected a secure, high-throughput RAG system and analyzed failure modes such as hallucination and context poisoning, implementing retrieval constraints and chunking strategies that improved factual consistency.
Designed and evaluated context selection pipelines for a conversational AI agent, experimenting with embedding retrieval and ranking methods to cut incorrect or low-confidence responses by 30%.
Engineered a scalable API layer for concurrent LLM interactions, stress-testing behavior under adversarial and malformed inputs to ensure stable, context-aware dialogue under high load.

AI Research — Digital Forensics · Richmond, VA

Jun 2024 – Aug 2024

Investigated machine learning for anomaly detection in digital forensic data, evaluating model performance under noisy and adversarial conditions.
Developed and tested ML pipelines for automated forensic analysis, analyzing trade-offs between detection accuracy and false positives in high-stakes cybersecurity contexts.
Explored computer vision and NLP for forensic intelligence, studying how model outputs could be manipulated by crafted inputs and the implications for AI trustworthiness.

Virginia Commonwealth University

BS, Computer Science · Richmond, VA

Graduating Dec 2027