Hi, I'm Ashish Gondimalla - Senior Software Engineer at Google
I engineer high-performance accelerators for AI, passionate about algorithmic improvements and simulations. I thrive on complex challenges where I can push the boundaries of hardware acceleration and deep learning.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Interned at Maschinenfabrik Reinhausen, gaining foundational industry experience.
Currently a Senior Software Engineer at Google, developing application-specific accelerators for sparse neural networks.
Can help others by advising on optimizing ML model performance with specialized hardware acceleration.
🚀 Career trajectory
Foundational Engineering Intern
Gained initial industry experience through an internship, applying core engineering principles.
✦ Internship
✦ Maschinenfabrik Reinhausen
Academic Research & Teaching
Deepened expertise through graduate studies, contributing to research and educating peers.
✦ Graduate Research
✦ Teaching Assistant
✦ Purdue University
Senior Software Engineer, AI Acceleration
Currently driving innovation in high-performance accelerators at Google.
✦ AI Acceleration
✦ Senior Software Engineer
💪🏻 Superpowers
Hardware Acceleration Architect
Designing efficient solutions for complex computational tasks.
✦ Develops high-performance accelerators for sparse neural networks.
✦ Expertise in algorithmic improvements for specialized computing.
✦ Skilled in modeling simulations for performance optimization.
Deep Learning Systems Engineer
Bridging software and hardware for ML performance.
✦ Leverages GPUs and TPUs for advanced machine learning.
✦ Experienced in C++ and Python for performance-critical code.
✦ Focuses on core ML principles and efficient implementation.
Research-Driven Problem Solver
Applying academic rigor to real-world engineering challenges.
✦ Background in graduate research at Purdue University.
✦ Experience with FPGAs and Verilog for custom hardware.
✦ Applies simulation and signal processing techniques.
I'm excited about
✦ Exploring cutting-edge advancements in domain-specific architectures.
✦ Connecting with leaders and innovators in AI hardware and software.
✦ Discovering opportunities to contribute to impactful deep learning projects.
I can help with
✦ Advise on optimizing ML model performance with specialized hardware.
✦ Share insights into building efficient accelerators for complex algorithms.
✦ Collaborate on research challenges in high-performance computing.
I would love your help on
✦ Identifying emerging trends in AI hardware development.
✦ Finding collaborators for novel accelerator designs.
✦ Gaining perspectives on the future of specialized computing platforms.