Vetted OpenAI API Professionals

“Built and deployed an AI customer representative for iCore used at the IEE convention (2025), serving 100+ users in a day; implemented RAG with a vector database and scaled reliability via Docker and Google Cloud. Also has hands-on experience with multiple agent orchestration stacks (LangChain/LangGraph, Google AI Agent Development Kit, OpenAI SDK, Composio) and has delivered stakeholder-driven apps using prototyping and MVP scoping.”

“Hands-on builder who has shipped multiple self-directed Python automations, including a PySide6 desktop app that uses LLMs for job search and resume matching, plus AWS-hosted notification workflows and Chromium-based browser automation. Particularly interesting for roles involving AI integrations, automation, and reliability work because they speak concretely about schema drift, hallucination mitigation, observability, threading, and flaky auth/session handling.”

“Full-stack developer who has built both operational software for universities and an AI-assisted publishing platform called HeartThreads. Notably implemented a multi-LLM fallback architecture using Ollama, OpenAI, and Claude to keep AI story-generation features available in production.”

Rutvi Rathod

Screened

Junior Full-Stack Software Engineer specializing in AI and web applications

San Jose, CA1y exp

“LLM/AI backend engineer with hands-on experience taking customer LLM prototypes into production using FastAPI, containerization, CI/CD, and OpenTelemetry-based observability. Demonstrated measurable impact by cutting LLM costs ~40% and reducing workflow errors ~50% through schema-enforced outputs, better tool definitions, retries, and prompt/model optimization; also supports pre-sales via technical discovery and rapid integration demos.”

Kumar Manik

Screened

Intern AI Engineer specializing in LLMs, MLOps, and RAG systems

0y exp

“Built and shipped a production-grade RAG-powered news summarization and Q&A product, tackling real-world issues like retrieval drift, hallucinations, latency, and autoscaling deployment (Docker + FastAPI + Streamlit Cloud). Experienced in end-to-end ML/LLM workflow automation using Airflow, Kubeflow Pipelines, and MLflow, and has demonstrated business impact (40% inference precision improvement) through close collaboration with non-technical stakeholders at Evoastra Ventures.”

Andrew Douangprachanh

Screened

Entry-level Full-Stack Software Engineer specializing in web and real-time applications

Colorado Springs, CO2y exp

“Frontend-focused developer who built Brick-Verse, a React/TypeScript CRUD app combining Spring Boot, Spring Security, JWT auth, PostgreSQL, and the Rebrickable API. Stands out for handling multi-source data flow, protected user features like favorites, and practical React performance and responsive CSS challenges in a production-style project.”

“Built an internal compliance automation platform that transformed manual PO/invoice checking into an AI-assisted review workflow, cutting human effort dramatically from 160 hours/week to 10 hours/week. Also integrated OpenAI for invoice-related workflows, internal chat, and retrieval/summarization of older MSDS and audit documents, with experience bridging technical decisions to executive stakeholders.”