Available for IT & software opportunities
Building real-time deep learning models, computer vision pipelines, and automated knowledge systems with Python, TensorFlow & OpenCV.
Dedicated and analytical Information Technology student with a strong foundation in Artificial Intelligence, Machine Learning, Computer Vision, and Software Engineering. Experienced in developing real-time deep learning models, computer vision pipelines, and automated knowledge systems using Python, TensorFlow, OpenCV, and SQL. Combines technical aptitude and systems optimization skills with a proven background in sales, customer engagement, and technical support.
A real-time computer vision and deep learning framework that translates South African Sign Language gestures into text. Implements hand landmark tracking with MediaPipe, custom OpenCV preprocessing pipelines, and CNN models for high-accuracy gesture classification.
An intelligent dermal scanning application leveraging multimodal vision-language models for real-time skin image analysis and diagnostic feedback. Designed prompt engineering pipelines and automated image processing workflows to generate personalized skin care recommendations.
An automated LLM personal knowledge base (inspired by Andrej Karpathy's architecture) that compiles and indexes technical literature into structured markdown knowledge graphs, with automated parsing and indexing to query research papers and documentation efficiently.
Fully normalized relational database schemas designed to optimize data consistency, eliminate redundancy, and improve query speed. Conducted comparative systems architecture analysis between traditional and web-based implementations to evaluate enterprise scalability.
A dual-component applied AI system. Component A predicts South African road accident severity using Random Forest and Extra Trees ensembles, then trains a Q-learning agent over 3,500 episodes to recommend traffic interventions. Component B builds a transformer NLP pipeline over parliamentary Hansard documents — PyPDF2 extraction, MiniLM embeddings, FAISS indexing, DistilBERT fine-tuning, and a retrieval-augmented generation loop.
This very portfolio — a modern, dark-themed personal site built with Next.js, React, and Tailwind CSS. Features a responsive layout, scroll progress indicator, and component-driven architecture showcasing my projects, skills, and experience. Click to view the source on GitHub.
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Dairy Maid
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Ola Ice Cream
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McDonald's
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Indian Delights Catering
Richfield
2024 (1st Year) — A Aggregate · 2025 (2nd Year) — Maintaining A Aggregate
Richfield
2023 — Graduated Cum Laude
05 // Contact
Open to IT, software engineering, and AI/ML opportunities. Reach out through any of the channels below.