Help & Supportcareers@gravityer.com
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.