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Yash Patel

AI Researcher

San Francisco, California, United States8 yrs 8 mos experience
AI EnabledHighly Stable

Key Highlights

  • Expert in multimodal pre-training of LLMs.
  • Significant contributions to AI research at Meta and Amazon.
  • Strong background in Computer Vision and Machine Learning.
Stackforce AI infers this person is a leading expert in Artificial Intelligence and Machine Learning with a focus on Computer Vision.

Contact

Skills

Core Skills

Machine LearningComputer Vision

Other Skills

GenAIDeep LearningPythonLinuxProgrammingMatlabAlgorithmsResearchCSQLPHPArtificial IntelligenceSoftware DevelopmentImage ProcessingHTML

About

Working on multimodal pre-training of LLMs. In general, I do stuff in Computer Vision and Machine Learning. https://yash0307.github.io/

Experience

Meta

Senior Research Scientist

Feb 2025Present · 1 yr 1 mo · Menlo Park, California, United States · On-site

  • Fundamental AI Research (FAIR) — Meta Superintelligence Labs (MSL), Meta
  • I work on grounding and spatial understanding for next-generation perception-focused multimodal LLMs. My work spans multimodal pre-training, mid-training, supervised fine-tuning (SFT), and reinforcement learning (RL), including data curation, evaluations, and training recipes. Made core contributions to: 1). Llama 4 Scout and Llama 4 Maverick.
Machine LearningComputer VisionGenAIDeep Learning

Amazon

Applied Scientist II

Sep 2023Feb 2025 · 1 yr 5 mos · San Francisco, California, United States · On-site

  • Artificial General Intelligence. Working on GenAI. Enabling LLMs to see and understand images and videos. Made core contributions to:
  • 1). Multi-modal pre-training of Amazon Nova Lite/Pro.
  • 2). Dual-encoder (CLIP like) embedding models called titan multi-modal embeddings.
Machine LearningDeep LearningComputer VisionGenAI

Equilibre technologies

Research Scientist

May 2023Sep 2023 · 4 mos · Prague, Czechia · On-site

Meta

Research Scientist Intern

Jul 2022Nov 2022 · 4 mos · Menlo Park, California, United States · On-site

Amazon web services (aws)

Applied Scientist Intern

Apr 2022Jul 2022 · 3 mos · Santa Clara, California, United States

Center for machine perception

Researcher

Feb 2020Sep 2023 · 3 yrs 7 mos · Prague, The Capital, Czech Republic

Amazon web services (aws)

Applied Scientist Intern

Apr 2019Aug 2019 · 4 mos · Palo Alto · On-site

Amazon

Applied Scientist Intern - Visual Search & AR

Jan 2019Apr 2019 · 3 mos · Palo Alto

A9.com

Applied Scientist Intern

May 2018Aug 2018 · 3 mos · Palo Alto, USA

  • Worked under the supervision of Prof. R. Manmatha, Prof. Alexander J. Smola and Dr. Son Tran.

Verisk

Capstone Member

Jan 2018Dec 2018 · 11 mos · United States

  • Working under the supervision of Prof. Abhinav Gupta and Dr. Maneesh Singh on Active Vision for Learning to Predict Deformations from CAD Models of Specular surfaces.

Center for machine perception

Research Intern

May 2017Jul 2017 · 2 mos · Prague, The Capital, Czech Republic

  • I worked at CMP, CTU in Prague under the supervision of Professor Jiri Matas and Michal Busta. As an outcome of my internship we won ICDAR RRC-MLT 2017 competition on "Cropped Word Script Identification". Beyond the internship, we developed an end-to-end method for multi-language scene text. Report on this project was submitted to CVPR 2018 and is currently under review.

International institute of information technology

Teaching Assistant

Aug 2016Apr 2017 · 8 mos · Hyderabad Area, India

  • 1. I was teaching assistant for Statistical methods in Artificial Intelligence course (CSE471), Monsoon 2016. The course was instructed by Prof. Avinash Sharma.
  • 2. I was teaching assistant for Computer Graphics course (CSE251), Spring 2017. The course was instructed by Prof. Avinash Sharma.
  • Duties included conducting tutorials, mentoring students for course project, grading assignments and exams. For Graphics course, I had the responsibility of setting up and maintaining a standardization server, which was used by students for assignments.

Computer vision center

Summer Research Intern

May 2016Jul 2016 · 2 mos · Barcelona Area, Spain

  • I worked with the Document Analysis Group of Computer Vision Center, Barcelona for a duration of 3 months. I was supervised by Dr. Dimosthenis Karatzas, Dr. Lluis Gomez and Dr. Marçal Rossinyol during this duration. As an outcome of my internship, I published a ECCV workshop paper on "Dynamic Lexicon Generation for Natural Scene Images".

Center for visual information technology (cvit)

Undergraduate Research Assistant

May 2015Apr 2017 · 1 yr 11 mos · Hyderabad Area, India

  • I worked as an Undergraduate Researcher at Center for Visual Information Technology (CVIT) lab under the supervision of Prof. C.V Jawahar in the fields of Computer Vision, Machine Learning and Multimedia Applications.

Education

Czech Technical University in Prague

Doctor of Philosophy - PhD — Machine Learning and Computer Vision

Feb 2020Jun 2023

Carnegie Mellon University

Master of Science - MS — Computer Vision

Jan 2017Jan 2018

International Institute of Information Technology Hyderabad (IIITH)

Bachelor of Technology (B.Tech. Honours) — Computer Science

Jan 2013Jan 2017

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