AI Engineering Student · Building things that think, breaking things that almost think
LLM Evaluation Multi-Agent Systems RLHF
// CS undergrad @ VIT Bhopal - class of 2027 role = "AI Model Analyst @ Deccan AI Experts" focus = "LLM eval · RLHF · multi-agent pipelines" obsession = "the almost-correct outputs. that's where it gets interesting." // currently going deep on LangGraph + transformer internals // exploring deep into AI, not tutorial-following, but the kind where you hit a wall at 2am.
LangChain LangGraph OpenAI API HuggingFace smolagents Google ADK FAISS RAG RLHF Prompt Engineering Python Flask SQL MongoDB scikit-learn
AI Model Analyst & Trainer - Deccan AI
March 2026 - Present · Remote
→ Evaluate and debug LLM-generated responses across model iterations
→ Conducting RLHF by ranking outputs, contributing to 15%+ reduction in syntax errors
→ Surfacing edge cases in advanced algorithmic queries to improve prompt-response alignment
| 🟢 Building - AI pipelines, always something new in the repo | 🔵 Reading - transformer internals, agent reasoning papers |
| 🟠 Learning - LangGraph deep-dives, Google ADK, agentic systems | 🔴 Open to - AI/ML opportunities |
✦ Machine Learning Specialization - DeepLearning.AI & Stanford (Andrew Ng)
✦ Deep Agents with LangGraph - LangChain Academy
✦ AI Agents Course - Hugging Face (smolagents, LangGraph, LlamaIndex)
✦ Agent Development Kit (ADK) Crash Course - Google Codelabs