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CODERESIDENCY
Data Scientist
June 23, 2026 – Present
ProfanityBench
May 30, 2026 – Present
World's largest Profanity Dataset with categorized offensive, abusive, hateful, sexual, and toxic terms across multiple languages. Built for content moderation, NLP research, AI safety, and text classification. Featuring 82k rows of profanity across 715 languages and 459 countries.
View ProjectLLM-Thematic-Analysis-Tool
October 10, 2025 – Present
A LLM-based qualitative research analysis tool that does thematic analysis of your text files.
View ProjectBibby-AI---Online-LateX-Writing-AI-Tool-
September 26, 2025 – Present
Bibby is your LateX Research writing friend, Write research papers faster, do more research output.
View ProjectSpeed-Spike-Sort
March 20, 2025 – Present
Speed-Spike-Sort is a high-performance framework for neural spike sorting, designed to handle various electrophysiology data formats with minimal configuration requirements for computational neuroscientists. It supports GPU acceleration, adaptive dimensionality reduction, and integrated quality metrics for automated unit verification.
View Projectupcourse-frontend
June 19, 2024 – June 19, 2024
NextJS Frontend for Upcourse mentoring platform
View ProjectNWB-TiFF-CONVERTOR
November 22, 2023 – Present
Convertor for NWB(Neural Data without Border) Files to Compatible Tiff Files to be used with various tools like Caiman or DeepLabCut.
View Projectindabax-za.github.io
January 26, 2019 – Present
Website for the Deep Learning IndabaX South Africa.
View ProjectBaobab
January 8, 2019 – Present
Baobab is an open source multi-tenant web application designed to facilitate the application and selection process for large scale meetings within the machine learning and artificial intelligence communities globally. Supported by the Deep Learning Indaba
View ProjectAI-International-Group-4-Resources
December 20, 2018 – December 23, 2018
Resources for Machine Learning and AI
View ProjectMergeImages
June 19, 2016 – April 18, 2024
An Image Merger App which takes in four pictures and combines into one picture and saves to the gallery
View ProjectCultural Fit Analysis
The candidate's projects indicate a strong interest in AI/ML communities (e.g., Deep Learning IndabaX). The diversity of projects, from LLM tools to neural data processing, suggests a proactive and curious individual. However, the current experience level (0) and the single listed current role starting in the future (2026) raise questions about immediate cultural and team integration readiness in a professional setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.