Software Engineer | Python, C/C++, Rust
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Assessing your cultural and operational fit
deshaw
Data Scientist
June 18, 2026 – Present
context-pilot-rs
June 10, 2023 – October 18, 2025
Get relevant files/authors for your code - binary written in rust. Plugins available in NeoVim and VSCode (separate repositories)
View Projectnvim-autorunner
August 27, 2022 – August 29, 2022
A NeoVim lightweight autorunner app, to compile your projects using a single command.
View ProjectCPP-File-Manager
May 24, 2020 – December 5, 2022
A C++ File Manager library, to load files in a directory with options to exclude extensions with patterns. Also available as cross platform binary.
View ProjectLinear-Regression-using-PyTorch-CPP
December 17, 2019 – April 14, 2020
Implementing Linear Regression on a CSV file using PyTorch C++ Frontend API
View ProjectDCGAN-CelebA-PyTorch-CPP
August 19, 2019 – May 22, 2020
DCGAN Implementation using PyTorch in both C++ and Python
View ProjectDigit-Recognition-MNIST-SVHN-PyTorch-CPP
June 1, 2019 – April 8, 2022
Implementing CNN for Digit Recognition (MNIST and SVHN dataset) using PyTorch C++ API
View ProjectNo-Reference-Image-Quality-Assessment-using-BRISQUE-Model
September 23, 2018 – September 27, 2021
Implementation of the paper "No Reference Image Quality Assessment in the Spatial Domain" by A Mittal et al. in OpenCV (using both C++ and Python)
View ProjectImage-Segmentation-using-OpenCV-and-CNN
May 31, 2018 – June 1, 2018
Image Segmentation using OpenCV (and Deep Learning)
View ProjectMulti-Messenger
December 22, 2016 – March 25, 2020
Mail / SMS / Message (FB) via Terminal using this Python Program.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and highly technical, focusing on deep learning, image processing, and system utilities. While demonstrating strong technical initiative, the diversity of projects and technologies, particularly in a collaborative or business-oriented context, is limited. The current role as 'Data Scientist' aligns with the target role, but the experience level is 0, suggesting this is a future or very recent entry-level position. The projects show a strong inclination towards low-level implementations and performance, which might be a good fit for specific data science roles requiring C++ integration or high-performance computing, but less so for roles focused purely on statistical modeling or business intelligence.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear and concise, indicating good technical communication.