Hello, It's Me

Nirmalya Sinha

And I'm a

Bridging digital architecture and silicon realization. Specializing in Verilog RTL design, FPGA-accelerated systems, and embedded hardware security—transforming complex computational challenges into efficient, silicon-ready hardware.

Nirmalya Sinha

About Me

Nirmalya Sinha profile photo

Engineering Resilient Silicon & Next-Gen Systems

I am an Electronics Engineering student specializing in VLSI Design at Rashtriya Raksha University, driven by a deep fascination with digital logic, edge intelligence, and silicon-level security. My work spans the digital design spectrum—from architecting Verilog RTL and accelerating real-time neural network inference on PYNQ and ZCU-104 FPGA platforms, to analyzing cryptographic resilience against Differential Fault Attacks (DFA) and building award-winning secure IoT systems.

Leadership & Impact

  • Director's Fellow, RRU
  • Student Advisor, SASET

Education

B.Tech, EE (VLSI Design) • 9.05 SGPA

Rashtriya Raksha University (2024–2028)

My Skills

Digital Design & FPGA

Verilog HDL

Xilinx Vivado

PYNQ & ZCU-104

Quartus & Yosys

Hardware Security & Embedded

Hardware Security

ESP32 & Sensors

Hash-chain Ledgers

SolidWorks CAD

Programming & Tools

C

Python

MicroPython & SQL

Git / GitHub

Latest Projects & Highlights

Winning 2nd Prize for ArmourTrack at GU Gandhinagar

ArmourTrack

First Runner Up at CRAFTATHON 2026 (IEEE). Defence-grade asset accountability with ESP32, RFID, GPS, RSA credentials, and cryptographic hash-chains.

Explaining SIH 2026 Trishuli Project to Judges

Trishuli Early Warning

Top 10 Finalist at SIH 2026. Decentralized mine-subsidence early warning system using an ESP8266 Wi-Fi mesh and real-time machine learning.

Working with Xilinx ZCU104 FPGA Board for Edge AI

Edge AI on ZCU-104

VSSC-sponsored edge AI system developed at IIT (BHU) Varanasi. Deployed real-time electric motor fault-classification models across ARM and FPGA (PYNQ & ZCU-104).

Delivering Brief Description about DE-10 Lite FPGA

FPGA Digital Systems

Technical documentation and sessions on digital circuit design, bitstream implementation, and toolchains across DE-10 Lite and Renesas ForgeFPGA.

Receiving IITBHU Internship Certificate from Dr. Priya Ranjan Muduli

IIT (BHU) Internship

Receiving the research internship completion certificate under Dr. Priya Ranjan Muduli at IIT (BHU) Varanasi for edge AI electric motor fault diagnostics.

Contact Me

Have an exciting project, research collaboration, or opportunity in mind? Feel free to reach out, I am always open to discussing new ideas, digital architectures, and innovative technologies.