I build systems where radio meets machine learning — from RIS beamforming at 28 GHz on a live 5G testbed to compilers, games and computer-vision apps.
Final-year Electronics & Telecommunication Engineering undergrad at Jadavpur University (Class of 2027), with a 94%+ board record and a habit of chasing problems across the stack — from RF link budgets to REST APIs.
Experience spans enterprise networking at Accenture and 5G research at IIT Guwahati, where I worked on joint active/passive beamforming for RIS-aided integrated sensing and communication systems.
On the applied ML side, I've built CNN-powered computer-vision apps, time-series demand forecasting dashboards, and reinforcement-learning models that tune beamforming in simulated wireless networks.
Currently looking for internship and full-time opportunities at the intersection of wireless systems and machine learning.
Optimize RIS-enabled multi-user MIMO beamforming at 28 GHz using reinforcement learning.
Build a terminal puzzle game where you write assembly to decode 32-bit packet headers and route 5G traffic into network slices.
Turn speech into prose or real Python/C++ syntax at the cursor in any app, fully offline.
Ship a full-stack browser RPG with combat, crafting, trading, quests, talent trees and vehicle progression.
Analyze facial structure, skin tone and body proportions from a single photo to recommend personalized styling.
Predict daily food demand from historical sales and seasonal trends to minimize wastage.
Education, experience, projects and skills in one page.
Research on reconfigurable intelligent surface (RIS) beamforming design for ISAC systems, conducted during a 2025 summer research internship. Manuscript in preparation.
Open to internship and full-time roles at the intersection of wireless systems and machine learning — and always up for a conversation about RIS, 5G, or anything worth building.