Dharrun Singh .M

EEE Graduate | ML Researcher | Ex-Intern at CDAC |

Experience

C-DAC, CINE
Silchar, Assam
Research Intern (Former)
Jul 2024 – Jan 2025
Co-authored IEEE paper on ML-based NoC routing (FRoZN), achieving 10% performance improvement via Reinforcement Learning; engaged in rebuttal process.
Explored PyTorch-based NoC optimization independently, developing graph-based approaches for fault-tolerant routing (unpublished); used Gem5 for system-level validation.

Skills

Domain Knowledge
Network-on-Chip (NoC), Power Systems, Renewable Energy, Electric Vehicles (EVs), Battery Management Systems (BMS)
Machine Learning
GAN, Deep Learning, Q-Learning, GNN, PyTorch, torch-geometric
Embedded & IoT Systems
Microcontrollers (ESP32/Arduino), Raspberry Pi, Hardware-Software Integration
Simulations & Modelling
Gem5, MatLab, SciLab, GNU Octave, Google Colab
CAD & Design
KiCAD (PCB), FreeCAD, OpenSCAD, TinkerCAD, Inkscape, SolidEdge
Programming
Python, C, Java, Kotlin, Embedded C/C++, Verilog, Nix
Tools & Development
Linux, Git, Bash Scripting, Android Studio, JetBrains IDEs

Languages

Elementary proficiency
German
Fluent
English, Hindi
Limited working proficiency
Tamil, Telugu

Education

Anna University Regional Campus Coimbatore
Bachelor of Engineering (B.E.) • 7.84 CGPA
Electrical and Electronics Engineering
Coimbatore, Tamilnadu • Nov 2020 – May 2024
Power Systems | Power Electronics | Smart Grid | Microcontrollers | Control Systems | Electrical Machines |

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