Bala Dhinesh is a senior engineer with six years of experience specializing in RISC-V hardware design, verification, and hardware-software co-design, currently building next-generation accelerators at Tenstorrent. A BTech graduate from IIT Madras, he blends academic research—on rapid FPGA prototyping and approximate computing for graph neural networks—with industry impact from internships at Qualcomm and a GSoC project that virtualized FPGA labs. He has a strong track record in FPGA/ASIC architecture, automation of SystemVerilog module generation, and open-source teaching through workshops and club leadership. Known for turning research prototypes into practical tooling, he led student teams to build real-time deep learning accelerators and contributed scalable scripting that eliminated thousands of manual RTL lines. Based in Bengaluru, he brings both hands-on hardware engineering and a knack for making complex accelerator workflows reproducible and cloud-friendly.
6 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Madras
Higher Secondary School, 94.8 %, Higher Secondary School, 94.8 % at Maharishi International Residential School, Kancheepuram
High School, 98.6%, High School, 98.6% at SPIC Nagar Higher Secondary School
This repository contains the codebase for Virtual FPGA Lab in Makerchip contributing as a participant in Google Summer of Code 2021, under FOSSi Foundation.
Contributions:30 commits, 2 PRs, 244 pushes in 8 months
Contributions:24 commits, 23 pushes, 1 branch in 1 year 11 months
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