I'm currently pursuing a B.Tech in Computer Science & Engineering at Tula's Institute (expected Mar 2027), where I've focused on foundations like data structures, ML/AI, computer vision, and NLP. I'm strongest with Python-based ML stacks and building end-to-end systems that put models into production.
Most recently, I worked as a Software Engineer Intern at Vinci (Feb–Aug 2025), where I integrated generative models into the product pipeline using ComfyUI + FastAPI, built scalable backend services for inference routing and logging, and created automated evaluation harnesses to track model quality. Before that I interned at AK Digital Services (Jul 2024–Feb 2025), where I migrated front-end stacks to modern React/Node versions and implemented REST APIs used in A/B experiments. I've also done full-stack development work at OctaNet Services (Jan–Mar 2024).
My projects are ML-forward and deployment-focused: I've implemented inference batching, request queuing, and lightweight post-processing for diffusion and transformer models; built ETL pipelines and interactive dashboards (3rd place in UTKARSH 1.0); and worked on signal/EEG classification experiments for course and personal projects. I run reproducible experiments, instrument model evaluations, and ship production-ready prototypes.
Outside of coding, I help run research and technical events as Secretary of the ACM Student Chapter (Jan 2025–Present) and I'm an NCC Senior Division Cadet — I attended the Advanced Leadership Camp (National Level) in October 2025. I also do digital art on the side and play a bit of CS2.
I'm open to full-time roles or research/engineering internships in cloud infrastructure, ML systems, or platform engineering.