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Genesis AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine learning and NLP research: - wrote DeepCL, https://github.com/hughperkins/DeepCL - ported Torch to opencl, https://github.com/hughperkins/cltorch - wrote the very first pytorch https://github.com/hughperkins/pytorch - wrote a CUDA compiler for OpenCL 1.2 devices, https://github.com/hughperkins/coriander - "Dialog intent induction with deep multiview clustering", Hugh Perkins, Yang Yi, EMNLP 2019
Tsinghua University
Master’s Degree, Computer Science
January 1, 2011 – January 1, 2013
Shenzhen University
Chinese (Mandarin)
January 1, 2010 – January 1, 2011
University of Cambridge
Bachelor’s Degree, Natural Sciences
N/A – Present
Genesis AI
Member of Technical Staff
May 1, 2025 – Present
ASAPP
Research Engineer
November 1, 2019 – May 1, 2025
ASAPP
Machine Learning Engineer
November 1, 2017 – November 1, 2019
ASAPP
Machine Learning Engineer
January 1, 2016 – November 1, 2017
Standard Chartered
Test and Release Automation Engineer
August 1, 2013 – December 1, 2015
Tianjin, China
Société Générale Corporate and Investment Banking
Infrastructure support, scripting and engineering
August 1, 2002 – February 1, 2008
Paris, France
cltorch
June 1, 2015 – Present
OpenCL extension for Torch high-performance machine learning library Highest-ranking OpenCL library in Soumith's benchmarking page https://github.com/soumith/convnet-benchmarks
DeepCL
December 1, 2014 – Present
Dedicated GPU machine learning library for OpenCL platforms. Over 250 stars on github. Widely known and one of the most popular OpenCL machine learning libraries. First OpenCL library to be ranked in Soumith's benchmarking page.
EasyCL
January 1, 2013 – Present
Wrapper library for low-level OpenCL boilerplate. Makes it easy to run OpenCL kernels, and embed into larger programs.
Jeigen
October 1, 2012 – Present
Java wrapper for high-performance C++ matrix library Eigen.
Blockworld
February 1, 2011 – April 1, 2011
Minecraft clone, written in Java and OpenGL.
Java AI for SpringRTS
July 1, 2010 – Present
Rule-based AI for springrts real time strategy game, written in Java.
Spring Map Designer
September 1, 2009 – Present
3d map designer for SpringRTS, using OpenGL and splatting.
C# AI for SpringRTs
June 1, 2006 – Present
AI for SpringRTS real time strategy game.
Opensource Metaverse Project, OSMP
November 1, 2004 – June 1, 2005
Opensource metaverse project. Allows people to host their own private 3d metaverse, that other people can jump into. References: Wired: archive.wired.com/gaming/gamingreviews/news/2004/12/65865 New Scientist: https://www.newscientist.com/article/dn7372-gamers-to-rule-their-own-virtual-worlds/
Cultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards independent, technically challenging, and open-source contributions, which could indicate a proactive and innovative mindset. The diverse experience across finance and AI/ML sectors, coupled with academic background from prestigious institutions, suggests adaptability and a drive for continuous learning. However, the target role is 'Data Analyst', while the candidate's experience is heavily skewed towards Machine Learning Engineering, Research Engineering, and DevOps. This creates a significant misalignment, as the core responsibilities and skill sets for a Data Analyst (e.g., data visualization, statistical analysis, business intelligence, SQL proficiency) are not explicitly demonstrated or highlighted in the provided data. While the candidate has strong technical skills, their direct relevance to a typical Data Analyst role is not clear, potentially impacting cultural fit for a data-centric team.
Soft Skills & Operational Fit
The candidate's project history demonstrates initiative and a strong interest in complex technical challenges, including open-source contributions. The long tenure at ASAPP suggests stability and growth within an organization. However, specific soft skills like teamwork, leadership, or problem-solving approaches are not explicitly detailed in the provided data.