H

Hritik Bansal

AI Researcher

Los Angeles, California, United States4 yrs 6 mos experience
Highly Stable

Key Highlights

  • Research experience at Meta and Google DeepMind.
  • Expertise in machine learning and neural networks.
  • Strong academic background with a Ph.D. in Computer Science.
Stackforce AI infers this person is a Machine Learning Researcher with a focus on neural networks and data science.

Contact

Skills

Other Skills

PythonJavaResearchKerasRecurrent Neural Networks (RNN)PyTorchPython (Programming Language)MATLABTeam ManagementInterpersonal CommunicationNumPyConvolutional Neural Networks (CNN)Generative Adversarial Networks(GANs)React.jsSpring Boot

About

Webpage - https://sites.google.com/view/hbansal

Experience

4 yrs 6 mos
Total Experience
1 yr 7 mos
Average Tenure
--
Current Experience

Meta

Research Scientist

Jun 2025Oct 2025 · 4 mos · Seattle, Washington, United States · On-site

Google deepmind

Student Researcher

Jun 2024Oct 2024 · 4 mos · Montreal, Quebec, Canada · On-site

Amazon web services (aws)

Applied Scientist

Jun 2022Sep 2022 · 3 mos · Santa Clara, California, United States

Ucla henry samueli school of engineering and applied science

2 roles

Graduate Teaching Assistant

Promoted

Sep 2021May 2022 · 8 mos

  • MATH 31A: Differential and Integral Calculus (Fall 2021, Winter 2022)
  • MATH 31AL: Differential and Integral Calculus (Winter 2022)
  • M146: Introduction to Machine Learning (Spring 2022)

Graduate Reader

Sep 2021Dec 2021 · 3 mos

  • ECE 100: Electrical and Electronic Circuits (Fall 2021)

Goldman sachs

Analyst

Aug 2020Aug 2021 · 1 yr · Bengaluru, Karnataka, India

  • Fixed Income Mortgage Backed Securities Desk Strategist

Indian institute of technology, delhi

4 roles

Research Assistant

Jan 2020Jan 2021 · 1 yr

  • Independent Study
  • Theme - Self Supervised representation learning for Time Series
  • Advised by Prof. Prathosh A.P.
  • Assigned PhD Mentor Pankaj Malhotra (TCS AI Research)

Teaching Assistant

Jan 2020Aug 2020 · 7 mos

  • Probability and Stochastic Processes: MTL 106
  • Prof. S. Dharamraja

Research Assistant

Jul 2019Jul 2020 · 1 yr

  • Bachelor Thesis on "RNNs as Cognitive Language Models"
  • Theme - Psycho linguistics
  • Advised by Prof. Sumeet Agarwal

Research Assistant

Oct 2017Sep 2019 · 1 yr 11 mos

  • Neuromechanics Research group
  • Theme - Improved Parkinson's Disease Diagnosis
  • Advised by Prof.Deepak Joshi

Gartner

LEADIT Intern

May 2019Jul 2019 · 2 mos · Gurgaon, India

Singapore management university

Research Assistant

May 2018Jul 2018 · 2 mos · Singapore

  • LiveLabs Urban Innovation Platform, School of Information Systems,SMU
  • Advised by Prof. Archan Misra, Prof. Rajesh Balan

Education

UCLA

Computer science — Ph.D.

Jan 2021Jan 2026

Indian Institute of Technology, Delhi

Bachelor of Technology — Electrical and Electronics Engineering

Jan 2016Jan 2020

KTH Royal Institute of Technology

Undergraduate Exchange Fall 2018 — Computer Science

Jan 2018Jan 2018

Delhi Public School,Meerut

Class 1-12

Jan 2004Jan 2016

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