GPGPU and Machine learning enthusiast.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
build-with-terminator
February 5, 2026 – Present
build-with-terminator — GitHub repository
View ProjectPractical_RL_Coursera
May 19, 2018 – May 21, 2018
https://www.coursera.org/learn/practical-rl
View ProjectHalide-experimental
March 9, 2017 – June 28, 2017
Derived from Halide-lang repository. Keeps track of my ventures with Halide.
View ProjectDeepLearning-UdacityCapston
October 15, 2016 – February 6, 2017
Capstone Project for Udacity Machine learning Nanodegree - House number prediction (SVHN)
View ProjectLearnTry
September 19, 2016 – Present
This repository contains collections of sample codes written to try out or learn something
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards self-learning and exploration in technical domains, particularly machine learning and programming. This suggests a proactive and curious individual. However, the projects are all personal, which limits insight into team collaboration or experience in a structured work environment. The diversity of technologies used across projects (Python, C++, Java, Shell, Dockerfile, Verilog, Systemverilog) indicates adaptability and a broad technical interest, which could be a good cultural fit for an innovative environment. Alignment with a 'Data Scientist' role is evident through ML/DL projects, but the breadth of other technical interests might suggest a more generalist profile.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists technical projects without details on collaboration, problem-solving approaches, or communication in a team context.