About

I design and build end-to-end AI systems, from agent orchestration and RAG pipelines to the cloud infrastructure that runs them.

I’m Rishab Panwar, a Data Science graduate from IIT Madras with a Minor in Generative AI. My work spans multi-agent systems, RAG pipelines, voice interfaces, and MLOps. I’ve built a voice-driven browser agent that turns spoken commands into real DOM actions, a document intelligence platform supporting 9+ file formats with both standard and agentic RAG, a multi-agent codebase explorer with hybrid semantic search, and an end-to-end MLOps pipeline on GCP with drift detection, fairness auditing, and horizontal pod autoscaling.

I care about the details that separate a working prototype from a production system: evaluation pipelines, CI/CD, containerization, observability, and latency. I’ve shipped systems on AWS ECS, GCP Compute Engine, and Vertex AI using tools like LangGraph, MCP, DeepEval, Docker, and Prometheus. Outside of building, I’ve placed 1st in a national-level Kaggle competition, hold the UG National Scholarship, and I’m looking for roles at the intersection of LLM systems, AI infrastructure, and product.

Education

Indian Institute of Technology Madras — Chennai, India
BS – Data Science and Applications | CGPA: 9.1/10 | Jan 2022 – May 2026
Gold Medalist

Coursework: ML Ops, Mathematical Foundations of Generative AI, Deep Learning Practice, Software Engineering, Large Language Models, AI: Search Methods for Problem Solving, Machine Learning Practice, Machine Learning Techniques

Achievements

  • IITM Merit Award — Received a gold medal by IIT Madras for academic excellence, ranking among the top students in the cohort.
  • Best Course Project Award — Secured Rank 3 for outstanding project performance in the Software Engineering course. (2025) View
  • UG National Progression Scholarship — Achieved the required marks during the 2024-2025 academic year to be awarded a scholarship at the IIT Madras.
  • Build with Agents Winner — Won first place in a Generative AI hackathon organized by IIT Madras. (2026)
  • RAG Sprint — Placed 4th in an inter-IIT level hackathon. (2025)
  • Kaggle Competitions — Secured 1st Place in the Joint Denoising and 4× Super-Resolution on Low-Light Images competition and consistently achieved top leaderboard positions across multiple Speech, NLP, and Machine Learning competitions. View

Technical Skills

Languages: Python, SQL, JavaScript, Bash

Frameworks / Libraries: PyTorch, TensorFlow, Scikit-learn, Keras, HuggingFace Transformers, LangChain, LangGraph, FastAPI, n8n, MCP, OCR

Cloud / Technologies: MLflow, DVC, GitHub Actions, Docker, Kubernetes (AWS EKS), GCP, Vertex AI, AWS (ECR, S3), ChromaDB, Git