Vetted Indexing Professionals

“Built production-style backend and AI systems across internship and project work, including a real-time sports platform backend and a Smart Email Assistant using GPT-4. Stands out for combining classic backend performance engineering with practical LLM workflow design, including measurable latency improvements, high uptime, and debugging of non-deterministic model behavior.”

“Solo builder of two technically ambitious products: Ghosted, a full-stack job search platform for international candidates navigating H-1B sponsorship data, and ContextForge, a Claude Code marketplace plugin that gives coding agents persistent memory and targeted codebase retrieval. Particularly strong in AI agent infrastructure, retrieval reliability, and end-to-end product ownership, with a fast release cadence and a habit of turning real failure modes into shipped improvements.”

“Built and shipped a production LLM-powered document processing agent (ingestion→OCR→LLM extraction/classification→validation→DB/workflow triggers) using Kafka and PostgreSQL. Emphasizes production reliability with strict JSON schemas, idempotent services, retries/backoff, fallback models, and human-in-the-loop review—driving ~90% automation, minutes-to-seconds processing, and ~10x throughput.”

ABHIGNAN YANGANGARI

Screened

Junior Full-Stack Software Engineer specializing in Java/Spring Boot and React

Hyderabad, India1y exp

“Full-stack engineer who built a lost-and-found pet management platform (React + Node/Express + SQL) with a focus on scalability (stateless JWT auth, modular REST APIs, cloud-based image handling) and performance (Artillery load testing, Chrome DevTools, query/index tuning). Also demonstrates systems-thinking around low-latency real-time voice pipelines integrating WebSockets, ASR, LLMs, and audio output, and has experience translating founder input into shippable product via rapid prototyping.”