Research Engineer @ Google DeepMind. Interested in post-training and ML systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Google DeepMind
Data Scientist
June 19, 2026 – Present
mla-pytorch
February 8, 2026 – Present
minimal Pytorch implementation of DeepSeek's Multi Head Latent Attention + benchmarks
View Projectarxiv-redirector
April 2, 2024 – May 16, 2024
Arxiv Redirector streamlines your arXiv browsing by auto-redirecting external links to your chosen default view: Abstract, PDF, or HTML
View Projectppl_tutorial
June 10, 2020 – June 11, 2020
A tutorial on probabilistic programming using Pyro
View ProjectKernelFunctions.jl
May 24, 2019 – Present
Julia package for kernel functions for machine learning
View ProjectBigDataCup18_Submission
November 10, 2018 – January 10, 2019
This repository contains code and trained models for our submission to the IEEE BigData Cup 2018 and the related paper 'Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN'
View ProjectcmGAN
October 16, 2018 – February 17, 2021
PyTorch code for the IJCAI 2018 paper "Cross-Modality Person Re-Identification with Generative Adversarial Training"
View ProjectRBDoom
May 25, 2018 – January 26, 2019
RBDoom is a Rainbow-DQN based agent for playing the first-person shooter game Doom
View ProjectPractical_RL
May 10, 2018 – December 22, 2021
My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal research and development in machine learning, which aligns well with an innovative and research-driven culture. However, the 'experienceLevel' is 0, which contradicts the current role at Google DeepMind, making it difficult to accurately assess cultural fit based on career progression. The projects are diverse within the ML domain, but there's no explicit evidence of team collaboration or leadership within these personal projects.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond the project descriptions which imply self-motivation and technical curiosity. No psychometric test results are available.