AI Engineer · Agentic Systems · RAG Pipelines
Delhi, India · MCA · 6.5+ years
AI-focused Senior Software Engineer building agentic AI systems and RAG pipelines with Python — from ops dashboards powered by Claude Code and MCP to self-learning review agents and open source AI tooling.
cgcone — Package manager for AI CLI extensions
One command installs MCP servers, plugins, and skills across Claude Code, Gemini CLI, Codex, and Copilot. 2400+ extensions indexed.
AI Video Gen — AI Automation
Fully automated cinematic video pipeline for GitHub repos. Feed a repo URL → LLM script → TTS voiceover → Playwright capture → Remotion render → exports YouTube Shorts (9:16) and long-form (16:9) MP4s autonomously.
Pipeline Analysis Tool — RAG-based failure triage
RAG system using LangChain and Ollama (nomic-embed-text embeddings) that classifies failed test cases by component from raw error text, saving 20% of time spent on failure triage.
| Languages | Python · JavaScript · SQL · Java |
| AI/ML & Agentic | LangChain · LangGraph · LangSmith · MCP · RAG · RAGAS |
| Backend & Web | FastAPI · Next.js · React · Node.js · REST APIs |
| AI Workflow | Claude Code · Cursor · Claude Skills · Playwright MCP |
| Dev Tools & Infra | Git · Docker · Jenkins · GitHub Actions · AWS · MongoDB · Firebase · Supabase · Clerk |
Senior Software Engineer · HappiestMinds (Client — Aristocrat Gaming) · Nov 2023 – July 2026
- Built an agentic AI ops dashboard from scratch (Python, FastAPI, Next.js, WebSocket, MongoDB) using Claude Code, Claude Skills, and Playwright MCP as the core AI-assisted dev workflow — helping 500+ team members and lifting regression team productivity 30%
- Built the Pipeline Analysis Tool, a RAG system (LangChain + Ollama nomic-embed-text) that classifies failed test cases by component from raw error text, saving 20% of failure-triage time
- Built a self-learning code review agent for GitHub Copilot that mines historical senior-engineer review comments into reusable pattern/rule sets, retraining weekly — cutting review time and speeding up story completion
- Validated RAG-based systems with RAGAS (faithfulness, context precision) to reduce hallucinations and improve output reliability
- Designed and executed automation for 300+ E2E scenarios across Class II/III gaming systems, owning CI-driven regression pipelines and Jenkins pipeline analysis
SME Engineer · BartleBy (Remote) · Sep 2020 – Sep 2023
- Contributed to QA for the platform, validating core workflows
- Owned test planning, test case design, and manual validation for functional coverage and releases
- Designed and implemented automation frameworks from scratch — Python, Pytest, POM