AI Engineering Undergraduate @ IIT Madras | Kaggle Expert (Top 4%)

I am a final-year student specializing in building Agentic RAG workflows and scalable End-to-End ML systems. I bridge the gap between complex Generative AI reasoning and high-performance backend infrastructure.

I have a strong foundation in Data Structures & Algorithms and a passion for reducing inference latency in AI applications.

• 🔭 I’m currently building Multi-Agent Systems using LangGraph and FastAPI.
• 👯 I’m looking to collaborate on Generative AI and Backend Optimization projects.
• 💬 Ask me about: LLMs, Vector Databases, RAG Pipelines, and System Design.
• 🏆 Achievements: Kaggle Expert (Ranked 341 Global) and 200+ LeetCode Problems Solved.

LangGraph · FastAPI · Gemini · Redis · Docker · Vue · Chrome Extension

• Built a multi-agent hiring simulator with 3 personas (85% eval accuracy)
• Reduced application time 45 min → <10 min
• Cut TTFT by 90% using async pipelines & semantic caching
• Full observability with LangSmith tracing

👉 This is not a demo. This is an engineered system.

LangGraph · FAISS · FastAPI · Async Streaming

• Sub-500ms TTFT via real-time streaming
• Persistent multi-turn conversations over 1h+ transcripts
• MMR search eliminated 90% redundant context

Multi-Agent Vision + Weather + Agronomy System

• Image-based crop diagnosis grounded with real-time weather
• Strict schema enforcement → zero parsing failures
• End-to-end reasoning in <3s latency

XGBoost · MLflow · Streamlit

• Benchmarked 4 ensemble models on 100k+ records
• Fully reproducible training with MLflow
• Deployed for non-technical users

• 🥇 Kaggle Expert — Top 4% globally (1 Silver, 9 Bronze)
• 🧠 LeetCode — 200+ problems solved (100+ Medium)
• ⭐ HackerRank — 5★ Gold (SQL)

• 🧑‍💻 GitHub: https://github.com/GyanPrakashKushwaha
• 💼 LinkedIn: https://linkedin.com/in/gyanprakashkushwaha
• 📊 Kaggle: https://kaggle.com/gyanprakashkushwaha

If you’re here to skim — fine.
If you’re here to collaborate or hire — even better.