# Aditya Bhagwat

> ML Compilers @ Meta | ex-Modular

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

Software engineer working on accelerating deep learning on specialized AI chips using cutting edge compiler technology (MLIR).

Skilled in distributed systems, design, and development of large-scale applications as well as high-performance libraries. Experienced in training huge deep-learning models using Pytorch. Possess intermediate C++ skills, proficient in parallelism and concurrency with an interest in profiling performance.

## Work Experience
### Software Engineer - Systems ML (Compiler) @ Meta
Jan 2024 – Present | Menlo Park, California, United States
Working on compiler and framework for Meta's custom AI accelerator chip.

### Software Engineer @ Modular
Jan 2023 – Jan 2024 | Sunnyvale, California, United States
Modular is the next-generation AI developer platform unifying the development and deployment of AI for the world.

The next generation of product breakthroughs will be powered by production quality infrastructure that brings together the best of compilers and runtimes, is designed for heterogeneous compute, edge to datacenter distribution, and is focused on usability. Unifying software and hardware with a "just works" approach that will save developers enormous time and increase their velocity.

We are incredibly excited about the mission before us, backed by some of the best investors in the world and if you are interested in joining us - just reach out via www.modular.com/careers.

Skills: MLIR · C++ · Python · CMake

### Research Engineer @ Snap Inc.
Jan 2022 – Jan 2022 | Santa Monica, California, United States
Developing ML infrastructure for training Graph Neural Networks at scale. Building a framework to train on graph data with more than 500 million nodes.

### Research Assistant @ Carnegie Mellon University
Jan 2021 – Jan 2022 | Pittsburgh, Pennsylvania, United States
• Research under Prof. Eric Xing to investigate methods for accelerating large-scale model training using parameter reduction. 
• Developing solutions to reduce the communication overhead in the distributed training of large-scale models, leveraging matrix factorization and sparsification methods.

### Software Engineer @ Cure.Fit
Jan 2019 – Jan 2021 | Bangalore Urban, Karnataka, India

### Teaching Assistant @ Indian Institute of Technology, Kharagpur
Jan 2018 – Jan 2019 | Kharagpur Area, India
Worked on preparing solution sets and grading assignments on VC Dimension and PAC Learnability.


## Education
### Master of Science - MS in Computer Science and Machine Learning
Carnegie Mellon University

### Master of Technology - MTech (Hons) in Computer Science
Indian Institute of Technology, Kharagpur

### Bachelor of Technology - BTech (Hons) in Computer Science
Indian Institute of Technology, Kharagpur

### Primary and Middle and High School
Bhavan's Bhagwandas Purohit Vidya Mandir, Civil Lines, Nagpur


## Contact & Social
- LinkedIn: https://linkedin.com/in/adityabhagwat96

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Source: https://flows.cv/adityabhagwat
JSON Resume: https://flows.cv/adityabhagwat/resume.json
Last updated: 2026-03-29