Vetted Vercel Professionals

“LLM solutions practitioner with SOC/alert-triage experience who takes LLM prototypes to production using RAG (Pinecone), FastAPI services, guardrails, CI/CD, monitoring, and robust fallback logic. Known for rapid real-time debugging of embedding/vector and agent workflow issues, and for driving adoption through code-first workshops and sales-aligned custom demos with measurable improvements (35% faster triage; 40% increase in correct tool usage).”

“Full-stack engineer who built and shipped an AI-powered internal knowledge search system for APL Services, including document ingestion into a vector database, a Python backend, and a React/TypeScript chat-style UI with source citations for trust. Improved production reliability by migrating from Streamlit Cloud to GCP with containerization and scaling controls to eliminate cold-start friction; also co-led a Mensa chapter website redesign as Digital Communications Committee co-chair.”

xavier mendez

Screened

Mid-Level Full-Stack Software Developer specializing in React, PHP, and AWS

Dallas, TX2y exp

“Software engineer working on a benefits/deductions product, owning a fast-turnaround feature spanning multiple client/internal UI flows. Built a centralized service layer and a PHP validation pipeline supporting a React/TypeScript frontend, coordinated two other developers to deliver in parallel, and emphasized quality via test cases, documentation, and QC collaboration.”

Shrinivas Bhusannavar

Screened

Mid-level AI Engineer specializing in agentic LLM systems and RAG platforms

San Jose, CA5y exp

“Built and shipped Serrano AI, a multi-tenant SaaS conversational AI platform that automates Odoo ERP workflows and lets ops/finance/supply-chain teams query ERP data in natural language. Implemented a multi-agent architecture (LangChain/LangGraph/CrewAI) with hybrid RAG over ERP schemas, deployed on Heroku/Vercel with production observability, cutting reporting time by ~80% while addressing hallucinations, latency, and schema complexity.”

Tyler Brown

Screened

Mid-level Forward-Deployed AI Engineer specializing in LLM automation for financial services

Atlanta, GA5y exp

“Solo builder who created a real-time AI call coaching product for sales reps in just 18 days, spanning 29 stateless edge functions, 157 SQL migrations, and ~72k lines of TypeScript. They combine strong full-stack engineering with sharp product instincts, using direct user feedback and SQL-driven observability to iterate quickly and win early paying customers without marketing.”

“Front-end engineer focused on sophisticated enterprise analytics dashboards for business and operations users. They combine strong React/TypeScript architecture with deep browser-performance knowledge and practical UX improvements for demanding expert users, especially in data-heavy applications with large tables, filtering, and role-based workflows.”

“Solo builder of multiple AI products including CareerCopilot and ResearchMind AI, with hands-on experience across full-stack engineering, streaming LLM UX, grounded research workflows, and conversational AI. Also brings research depth as first author of an IEEE FG2026 paper on out-of-distribution deepfake detection, plus early-stage R&D experience building real-time robotics control software during an internship at ISRO's Space Applications Centre.”

“Full-stack TypeScript engineer with hands-on ownership of a grocery deals/search platform spanning React, Node.js, Supabase, and PostgreSQL. Stands out for designing fuzzy product search, cross-retailer comparison, and price history features, then driving a foundational architectural change to unify product identity with a shared match key that improved reliability and development speed.”