Change AI hardware paradigm with me

Dedicated AI ASIC enthusiast actively crafting excellence and innovation.

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Projects
From Algorithms to Acceleration, From Code to Chip, From Vision to Reality, From Bare Silicon to Computational Consciousness...

Projects

My projects reflect a profound interest and skill in digital design across various domains. Proficient in HDLs such as Verilog and adept with EDA tools, I engineer innovative solutions for advanced applications. My portfolio includes work on processors, accelerators, and cryptographic engines, each rigorously tested and simulated to ensure robustness and reliability. My approach integrates application engineering principles, demonstrating a commitment to excellence in every project.

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Professional Profile

About

Motivated and ambitious young professional, armed with hands-on experience in diverse projects spanning FPGA and ASIC architecture. With a solid grasp of AI hardware design principles, I'm driven by a fervent passion for the convergence of AI and computer architecture. Continually exploring the dynamic interplay between cutting-edge technologies, my aim is to catalyze innovation and elevate performance standards in the evolving landscape of future computing.

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Experience

Application Engineer

Siemens | Munich, Germany

Aug 2024 - Ongoing
  • Driving the development and integration of AI compute solutions and silicon lifecycle management tool suite at Siemens EDA (Tessent Embedded Analytics), with a focus on advanced analytics for diverse System-on-Chip (SoC) architectures.

Master Thesis - DSP engine for ML Accelerator (UltraTrail)

University of Tübingen | Stuttgart, Germany

Oct 2023 - May 2024
  • Designed and implemented a high-performance DSP engine integrated with MFCC extraction, custom FFT core, FIR and Hamming filters tailored for efficient audio processing in ML applications and engineered a robust AHB protocol ensuring seamless integration into the UltraTrail accelerator, delivering exceptional accuracy and speed.

AI Hardware Engineer

Gemesys | Germany

Jun 2023 - Sep 2023
  • Led requirement-driven development and cross-functional collaboration in agile environments to align project goals with performance criteria across diverse teams.
  • Conceptualized an initial prototype for a neuromorphic algorithm on Xilinx FPGA tool flow, acted as the face of the product, and led presentations to gather stakeholder feedback.

Deep Learning Hardware Engineer

Bosch Centre for AI | Stuttgart, Germany

Oct 2022 - Mar 2023
  • Designed and implemented the RTL for the Neural Computing Engine (NCE) and AXI (ARM-AMBA) Interface as key components of the CESARIA SoC, significantly enhancing performance.
  • Conducted RTL simulation of the AI IP using advanced EDA tools like ModelSim, incorporating TCL scripting within Linux and Git environments.
  • Contributed to the micro-architecture and hardware/software co-design of the ML accelerator, supported by extensive research on AI hardware and Domain-Specific Accelerators.

Research Assistant

IMTEK | Freiburg, Germany

Sep 2021 - Sep 2022
  • Engineered an electrochemical sensor system on an Arduino Uno board. Conducted cyclic voltammetry tests using LPC1343 board and developed 3D printing methods for tactile displays, co-authoring a research paper in collaboration with KIT. (Research Paper)

Embedded Systems Engineer

Texas Instrument | Bengaluru, India

Jun 2019 - Aug 2019
  • Acquired extensive training in Advanced Embedded Systems and IoT Applications, with a focus on MSP430, ARM Cortex M4 architecture, and industrial applications.
  • Developed and implemented an image recognition project on the BOOSTXL board.

Education

Master of Science in Embedded Systems Engineering

Universität Freiburg | Freiburg, Germany

2021 - 2023

Bachelor of Engineering in Electronics and Telecommunication

Visvesvaraya Technological University | Bengaluru, India

2016 - 2020
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