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Co-founder @ Om Labs, ex-Uber
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Om Labs
Data Scientist
June 19, 2026 – Present
jepa
May 12, 2026 – Present
implementing minimal versions of joint-embedding predictive architecture (JEPA)
View Projectawesome-physical-ai
January 12, 2026 – Present
A curated list of academic papers and resources on Physical AI — focusing on Vision-Language-Action (VLA) models, world models, embodied ai, and robotic foundation models.
View Projectseq2seq
December 2, 2017 – Present
Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
View Projectpolicy-gradient
February 22, 2017 – December 26, 2019
Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
View Projectdeep-q-learning
February 6, 2017 – Present
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
View Projectbrowser-control
December 21, 2016 – Present
High-performance, width-aware bit manipulation around a single Bits<T> newtype.
View Projectdeepstock
December 12, 2016 – March 4, 2017
Technical experimentations to beat the stock market using deep learning :chart_with_upwards_trend:
View Projectalgorithms
November 17, 2016 – Present
Minimal examples of data structures and algorithms in Python
View Projectawesome-nlp
December 1, 2015 – Present
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on deep learning research and implementations. While this shows strong technical curiosity, there is limited evidence of diverse project types or experience in applying data science in varied business contexts. The current role at 'Om Labs' is listed as Data Scientist, which aligns with the target role, but no details are provided about the company or the candidate's responsibilities, making it difficult to assess cultural fit beyond technical alignment. The candidate's experience level is listed as 0, which contradicts the current full-time role, suggesting a potential data inconsistency or very recent entry into the professional field.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approaches, or communication style in a team setting. No psychometric test results are available.