“Innovating at the intersection of Embedded Systems, Machine Learning, and Emerging Tech”
Open to opportunities
Recent EEE graduate (2024) from Anna University with a robust academic foundation and practical research experience at C-DAC CINE Silchar. Co-authored an IEEE publication on ML-based Network-on-Chip optimization.
Experienced in embedded systems with a strong interest in renewable energy, efficient mobility, secure advanced systems, space technologies, and strategic defence applications.
I seek to innovate through novel solutions to drive research outcomes that deliver sustainable value to industry and society.
Interactive shell for your git and project needs in multiple platforms. Automates repository setup and configuration.
A setup for your local or cloud LLM needs, specially for Perplexica and OpenCode in NixOS. Privacy-first AI infrastructure.
Educational ESP32 based BMS simulator. Battery Management System learning platform with real-time monitoring.
IEEE VLSID 2025
Co-authored research on ML-based Network-on-Chip optimization achieving 10% performance improvement. Worked on algorithm optimization and rebuttal process.
View PublicationView my complete CV and resume for detailed project history, certifications, and skills.
