Some of my Works :
Universal-ZKV is a zero-knowledge proof verification engine I designed and implemented for Arbitrum Stylus. It verifies proof systems including Groth16, PLONK, and STARK, and won first place at Arbitrum Launchpad 2025.
On Praxifi, I designed and implemented an AI/ML platform for financial forecasting, anomaly detection, KPI analytics, and what-if simulations. I used SHAP-based explainability and built backend services with FastAPI, Docker, and Kubernetes.
I developed ProofMind, a decentralized, privacy-first multi-agent AI system that integrates zero-knowledge proofs for auditable execution. It uses Python, Fetch.ai, and SingularityNET MeTTa for verifiable AI reasoning pipelines.
As an AI/ML Consultant Intern at AICERTs (NetCom Learning), I develop and evaluate machine-learning solutions, including data preprocessing, model training, and performance optimization. I also designed and developed the official website for Aerotech Club, VSSUT Odisha, as a responsive, open-source platform.
