AI-driven LCA tool for sustainability analysis in metallurgy using AutoML and predictive modeling. Developed ML pipeline with data modeling workflows; shortlisted (Top 25) in internal SIH 2025.
Ruchir Kalokhe
AI/ML engineer passionate about exploring emerging technologies—from deep learning and quantum computing to modern web frameworks—driven to build innovative solutions for real-world challenges.
Currently looking for opportunities & internships
Projects
RESTful API with Express.js, TypeScript, PostgreSQL, and Bun for event management. Implemented transaction-based concurrency control to prevent overbooking.
PyTorch and GAN-based model to colorize grayscale SAR images into RGB representations. Top 25 in internal SIH 2024; 78% accuracy.
Deep learning for silent speech recognition through lip movement analysis using TensorFlow. 92% accuracy.
Dual implementation: TypeScript/Next.js and Python/Streamlit for BB84 protocol simulation.
Accomplishments
Smart India Hackathon 2025 - MineX project (Top 25)
Smart India Hackathon 2024 - SAR Colorization (Top 25)
HackRx Hackathon - Mentored team ranked Top 236th
GeeksVishwa (VIIT) - Ranked 23rd
Open Source - Contributed to ascii-view (137+ stars), gitget-backend, and multiple GitHub projects
Education
PES Modern College of Engineering (PES MCOE)
B.E. in Artificial Intelligence and Data Science
Pune, India
Hutchings High School & Junior College
High School Diploma
Pune, India