# Sriram Govindan

> ML Systems | GPU Kernel Engineer @Modular | Cofounder @Bench AI

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/sriramgovindan

Making ML for everyone!

Machine Learning Engineer, that's focused on the intersection of Deep Learning and Low Level Code. Expert in writing hardware optimized low level kernels, that accelerate various workloads (especially AI related ones!)

Email - sriramgovindanwork@gmail.com
GitHub - https://github.com/govindansriram

## Work Experience
### GPU Kernel Engineer @ Modular
Jan 2025 – Present | Los Altos, California, United States
Working on developing state of the art GPU Kernels, for modern systems (Nvidia Blackwell, AMD MI300). The kernels written power the latest models in the industry, including DeepSeek, GPT OSS and many more.

### Co-Founder (CEO & CTO) @ Bench AI, Inc
Jan 2022 – Jan 2025 | San Jose, California, United States
- Raised 150,000 from ERANYC (largest startup accelerator in New York City)
- Led & Developed an optimized AI inference platform. Utilized tools such as CUDA, NEON, and MKL, to write custom ML Kernels for various model architectures. Created Deployment infrastructure using AWS orchestration tools and Python. Developed custom agentic platforms utilizing the latest Generative Vision and Language models.

### Machine Learning Engineer @ Valeo
Jan 2021 – Jan 2023 | San Mateo, California, United States
- Researched and developed systems to improve self-driving car accuracy using technologies like Deep 
   Audio Analysis, Docker, and TensorFlow.
- Trained in-house models using GANS and other computer vision models. Made a GPU accelerated image generator for hyperrealistic road-related images and an object Inpainting tool.
- Converted car views from fish-eyed lenses to bird's eye views using technologies like multi-layer 
   perceptrons, skip connections, and CNNs.
- optimized models for various edge devices including prototyped R/C cars. This involved utilizing custom GPU based kernels, and model export processes.

### Machine Learning Engineer @ Samotal, Inc.
Jan 2020 – Jan 2021 | Colorado, United States
Developed Hardware optimized recommender (for gpus) systems for simpler algorithms such as Content Based Collaborative Filtering & Content Based Collaborative Filtering.

Utilized Pytorch to train Deep recommender Systems such as Neural Collaborative Filtering Models, and Matrix Factorization Models.


## Education
### Bachelor's degree in Software Engineering
San José State University


## Contact & Social
- LinkedIn: https://linkedin.com/in/sriram-govindan
- Portfolio: https://www.lowlevelml.com/

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Source: https://flows.cv/sriramgovindan
JSON Resume: https://flows.cv/sriramgovindan/resume.json
Last updated: 2026-04-11