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aniketwaghh/README.md
AI Software Engineer — agentic systems, multi-agent platforms, LLM gateways, RAG at scale

Aniket Wagh

Most AI demos die on the way to production. I build the part that survives the trip.

LinkedIn Email AWS Certified Developer – Associate (verify credential) Pune, India

Multi-agent orchestration, retrieval that holds up at scale, and the guardrails, observability and cost controls that make an enterprise willing to ship it.

🔭 Building rag-studio and GarudaSDLC  ·  🌱 contributing to the Python agent ecosystem  ·  💬 ask me about agents in production

Open source

Merged

Project What it is Fix
browser-use ★112k Browser automation for AI agents Agent navigation silently dropped valid URLs · Gemini chats lost the first user message
DeerFlow ★81k ByteDance's long-horizon agent harness A broken dependency blocked every fresh setup
docling ★66k Document parsing for gen-AI pipelines Corrupted headers in parsed CSV output · Encoded files produced invalid WebVTT and lost the first heading
LiveKit Agents ★14k Realtime voice AI agent framework API keys leaked into logs

Toolkit

LangGraph CrewAI Model Context Protocol RAG and Vector Databases Python, FastAPI, TypeScript, React, AWS, Docker, Kubernetes, PostgreSQL, Redis, Git
🎓 Credentials
  • 🏅 AWS Certified Developer – Associate (DVA-C02) — Amazon Web Services
  • 📜 AI Engineer, Core Track — LLM engineering, RAG, LoRA/QLoRA fine-tuning, evals, observability
  • 📜 AI Engineer, Agentic Track — agentic design patterns, context engineering, MCP, CrewAI, LangGraph
  • 🏆 AI Fiesta & 🌟 Budding Star Award, Q4 — Apexon
  • 🎓 B.Tech, Computer Science & Engineering (AI) — NCER Pune · 2024 · CGPA 8.28/10
Contribution streak — current and longest Snake eating my contribution graph



Connect on LinkedIn Say hello by email

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  1. rag-studio rag-studio Public

    RAG Pipeline Studio — visual builder for production RAG pipelines. FastAPI + uv workspace backend (API/worker), Turborepo React frontend, Kubernetes-ready.

    TypeScript