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cuda dis cuda dat, cuda just slept @AusafG5
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ML Backend @Galleri5
Data Scientist
June 12, 2026 – Present
homebrew-boring-notch
October 24, 2025 – October 24, 2025
homebrew-boring-notch — GitHub repository
View Projectvfind
March 20, 2025 – Present
VisualFind is an AI Powered web application that allows users to search for products using images. Upload an image to quickly find similar products online.
View Projectsearchy
November 30, 2024 – Present
A (somewhat) better, lightweight way to browse, search, potentially manage images on mac.
View Projectpy-searchy
October 19, 2024 – October 19, 2024
A platform agnostic pyqt application/widget/popup for indexing and querying images anywhere on the machine.
View ProjectScrapySpotifyDownloader
August 17, 2024 – September 12, 2024
Barely A SpotifyDownloader in Gradio.
View ProjectLocalRecall
May 25, 2024 – June 2, 2024
an attempt for replicating Microsofts Recall, but with open tech, and possibly some privacy
View ProjectDontLookUp
March 6, 2024 – April 2, 2024
In browser Wikipedia style quick loookup, LLM and Wiki based quick search extension. Contributions, Forks and Suggestions welcomed. Temp API below
View ProjectAushadhHub-BackEnd
October 19, 2023 – December 19, 2023
Repo 1 of End-to-End Tool aiming to solve the problem of identification of medicinal herbs.The Application uses ResNet finetuned on existing dataset, a validation accuracy of 96%. The training and testing dataset contains over 1500 images across 30 medicinal herb species.
View ProjectText-Analysis-Web-Scrapping
May 11, 2023 – May 11, 2023
A custom script for calculating Metrics on textual data scrapped from multiple webpages
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, many of which align with data science and machine learning, indicating a passion for the field. The diversity of projects (image search, LLM integration, web scraping, medicinal herb identification) suggests a broad interest in applying data science to different domains. The current role as 'ML Backend @Galleri5' as a Data Scientist aligns well with the target role. However, the lack of team-based projects or contributions to open-source beyond personal repositories makes it difficult to fully assess collaborative cultural fit.
Soft Skills & Operational Fit
The candidate's personal projects demonstrate initiative and a proactive approach to problem-solving. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, communication, or stress handling. The project descriptions are concise, but lack detail on challenges faced or collaborative efforts.