Dharrun Singh

EEE Graduate | ML Researcher | Ex-Intern C-DAC

“Innovating at the intersection of Embedded Systems, Machine Learning, and Emerging Tech”

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Open to opportunities

About Me

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.

2024 Graduation Year

7.84 CGPA

IEEE Published

Skill Inventory

◈ Domain Knowledge

◈ Machine Learning

◈ Embedded Systems and IoT

◈ Programming

◈ Domain Knowledge

◈ Machine Learning

◈ Embedded Systems and IoT

◈ Programming

Featured Projects

Repo Crafter

Automation | Shell

Interactive shell for your git and project needs in multiple platforms. Automates repository setup and configuration.

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AIEcoinNix

NixOS | LLM Infrastructure

A setup for your local or cloud LLM needs, specially for Perplexica and OpenCode in NixOS. Privacy-first AI infrastructure.

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pBMSLSuite-O

ESP32 | BMS | IoT

Educational ESP32 based BMS simulator. Battery Management System learning platform with real-time monitoring.

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Publications

FRoZN: Fault-Tolerant Routing Technique Using Reinforcement Learning for ZMesh NoC

IEEE VLSID 2025

Co-authored research on ML-based Network-on-Chip optimization achieving 10% performance improvement. Worked on algorithm optimization and rebuttal process.

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More About Me

Below are my complete details about experience, skills, projects, and more. Although you can download it, most up to date information can be accessed online via here

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