Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
riscv-emu
June 12, 2025 – June 12, 2025
Very basic and simplified RISC-V emulator written in Rust
View Projectsimplenn
February 27, 2021 – February 28, 2021
Basic neural network implementation with computation graph and autodiff using only numpy
View Projectasm-samples
October 21, 2020 – October 22, 2020
Implementation of several short sample programs using ARMv4, ARMv8, X64, and RISC-V
View Projectchip8-toolchain
March 22, 2020 – April 27, 2020
Complete toolchain (as, ld, cl, emu) for the CHIP-8, written in C
View Projectcl-book
December 15, 2019 – April 19, 2020
Simple compiler examples in Rust, based on my reading of "Engineering A Compiler, 2nd edi"
View Projectml-notebooks
November 29, 2018 – November 22, 2022
Several python notebooks about machine learning
View Projectdcgan-cuda
April 22, 2018 – July 9, 2018
Implementation of a Deep Convolutional Generative Adversarial Network for CPU and GPU with Cuda
View Projectlightsyncjs
September 20, 2015 – September 22, 2015
Javascript library for syncing data between localStorage and Cloud Storage services (Dropbox, Google Drive)
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong inclination towards deep technical challenges, low-level systems, and machine learning implementations from scratch. While this indicates a proactive and curious individual, the projects are predominantly personal and highly technical, with less emphasis on collaborative or product-oriented work. The target role is 'Data Scientist', and while there are ML-related projects, the overall portfolio leans heavily towards systems programming and compilers, which might indicate a different primary interest or a need to align more closely with typical Data Scientist responsibilities (e.g., data analysis, statistical modeling, deployment of ML models).
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication styles.