Saksham Suri

AI Researcher

Burlingame, California, United States8 yrs 6 mos experience
Highly Stable

Key Highlights

  • Expert in developing on-device foundation models.
  • Strong background in unsupervised learning and model optimization.
  • Proven track record in AI research and development.
Stackforce AI infers this person is a Machine Learning Researcher with expertise in AI and data analysis.

Contact

Skills

Core Skills

Machine LearningData Analysis

Other Skills

Model OptimizationUnsupervised LearningModel ArchitectureStatistical Machine LearningBrain Inspired LearningDeep LearningImage AnalysisPrivacy AnalysisSocial Media ResearchNatural Language ProcessingImage SynthesisInterpretable ModelsPythonCC++

About

My focus at Meta is developing on-device foundation models for content understanding for multiple reality labs devices.

Experience

8 yrs 6 mos
Total Experience
2 yrs
Average Tenure
1 yr 9 mos
Current Experience

Meta

2 roles

Research Scientist

Aug 2024Present · 1 yr 9 mos · California, United States · On-site

  • Working on model optimization.
Model OptimizationMachine Learning

Research Scientist Intern

May 2023Dec 2023 · 7 mos · Menlo Park, California, United States · On-site

Amazon web services (aws)

Applied Science Intern

May 2021Aug 2021 · 3 mos · Pasadena, California, United States

University of maryland

Research Assistant

Aug 2019Aug 2024 · 5 yrs · College Park, Maryland, United States

  • I am interested in solving problems using less supervision and uncurated data. I have explored different tasks across recognition and generation focusing on different supervision strategies, highlighting pitfalls in current approaches and propose modified architectures and losses to utilize the data better under different settings.
Unsupervised LearningData AnalysisModel ArchitectureMachine Learning

Ibm research

Research Intern

May 2019Jul 2019 · 2 mos · Bengaluru Area, India

Indraprastha institute of information technology, delhi

Teaching Assistant

Jan 2019May 2019 · 4 mos · New Delhi, Delhi, India

  • Teaching Assistant for CSE 542: Statistical Machine Learning (Graduate Level Course)

University of southern california

Research Intern

May 2018Jul 2018 · 2 mos · Los Angeles, California

  • Research intern at the Media and Communications Lab. Worked on interpretable image synthesis without using deep learning architectures.
  • Selected for this internship through the prestigious IUSSTF (Indo-US Science and Technology Forum) - Viterbi program.
Privacy AnalysisSocial Media ResearchData Analysis

Precog @ iiitd

Undergraduate Researcher

Jan 2018Dec 2018 · 11 mos · New Delhi Area, India

  • Precog is a research group which extensively analyses privacy and security aspects in online social media. My work there focused on distinguishing between legit and spam tech-support campaigns on twitter through analyzing the tweets and the various media they contain.
Brain Inspired LearningDeep LearningMachine Learning

Indraprastha institute of information technology, delhi

2 roles

Teaching Assistant

Promoted

Aug 2017Dec 2017 · 4 mos · New Delhi Area, India

  • Teaching Assistant for CSE 131: Computer Systems Management.
Image SynthesisInterpretable ModelsMachine Learning

Research Intern

May 2017Jul 2017 · 2 mos · New Delhi Area, India

  • Developed a standalone system in python which used the Resnet model for identification and verification of faces in live as well as existing images and videos. The research project was funded by Ministry of Electronics and Information Technology, Government of India.

Image analysis and biometrics lab, iiit-d

Undergraduate Researcher

Aug 2017May 2019 · 1 yr 9 mos · New Delhi Area, India

  • Worked at the Image Analysis and Biometrics Lab at IIIT-Delhi on brain inspired learning as part of my B.Tech Thesis project. Specifically, improved classifier performance by incorporating visual queues such as shape, colour, texture and symmetry to improve identification and verification accuracy of any off the shelf deep learning classifier by supporting the deep learning classifier through a dictionary learning based approach.
Statistical Machine LearningMachine Learning

Education

University of Maryland

Doctor of Philosophy - PhD — Computer Science

Jan 2019Present

Indraprastha Institute of Information Technology, Delhi

Bachelor of Technology - BTech — CSE

Jan 2015Jan 2019

Bluebells School International

High School

Jan 2013Jan 2015

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