# Tanvi Bhandarkar

> Machine Learning Engineer at Meta

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

Machine Learning Engineer with experience in Large Language Models (LLMs), multimodal AI systems (text, vision, audio) and the distributed infra that supports it. My experience touches the full model lifecycle from pre-training Transformer-based architectures to post-training (SFT) and evaluation. 

Currently at Meta, I work on content understanding models, bridging the gap between novel research and massive-scale production. I specialize in the research-engineering interface: architecting large-scale data pipelines, implementing state-of-the-art model architectures, optimizing distributed training loops and driving ablations. Previously, I have worked on frameworks for low-latency inference and conducted rigorous experiments in language and vision domains.

## Work Experience
### Machine Learning Engineer @ Meta
Jan 2024 – Present | Menlo Park, CA

### Software Engineer, Machine Learning @ Augmedix
Jan 2023 – Jan 2024 | San Francisco, CA
Developed the domain adaptation strategy for ambient medical AI, leveraging high-quality "golden" clinical data to fine-tune open-source foundation models. Implemented supporting multimodal (text and audio) infrastructure on GKE, integrating real-time automatic speech recognition and async audio processing. 

(Acquired by Commure)

### Software Development Engineer @ Amazon Web Services (AWS)
Jan 2022 – Jan 2023 | Seattle, Washington, United States
As a part of AWS AI team, I focused on enhancing the availability, distribution, and performance of Deep Neural Network models.

### Teaching Assistant @ University of California, Los Angeles
Jan 2022 – Jan 2022 | Los Angeles, California, United States

### Research Assistant @ University of California, Los Angeles
Jan 2021 – Jan 2022 | Los Angeles, California, United States
Advisor: Prof. Stefano Soatto

### Undergraduate Student Researcher @ Brain Computer Interface Lab, SRM University
Jan 2017 – Jan 2018 | SRM University


## Education
### Master of Science - MS in Computer Science
UCLA

### Bachelor of Technology (BTech) in Computer Science and Engineering
SRM IST Chennai


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

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Source: https://flows.cv/tanvibhandarkar
JSON Resume: https://flows.cv/tanvibhandarkar/resume.json
Last updated: 2026-03-22