BSc Computer Science graduate passionate about building the future with Artificial Intelligence, Machine Learning & Software Engineering. Creating solutions that matter.
I am a BSc Computer Science graduate from the University of Fort Hare with strong programming, analytical, and problem-solving skills. Deeply passionate about software development, artificial intelligence, and software engineering.
Experienced in academic mentoring, collaborative research, and applying machine learning techniques to real-world challenges. I have attended astronomy-focused training programs, gaining exposure to radio astronomy computing and Big Data concepts in scientific research environments.
Motivated to contribute to innovative, data-driven, and impact-oriented technology projects — building intelligent systems, securing infrastructure, or creating elegant software that solves real problems.
Intelligent platform ingesting academic papers using NLP to extract insights, summarize findings, and surface knowledge connections automatically.
Scalable platform ingesting massive server log streams, detecting behavioral anomalies in real-time with ML-driven intelligent security alerts.
Interactive dashboard making AI model decisions transparent — visualizing feature importance, SHAP values, and decision pathways for any ML model.
ML system trained on isiXhosa, isiZulu, and Sesotho — bridging the NLP gap for underrepresented African languages with accurate sentiment classification.
Framework for training large ML models across distributed nodes with fault tolerance, real-time progress monitoring, and adaptive load balancing.
AI-powered static analysis tool scanning source code for security vulnerabilities and OWASP Top 10 issues across multiple programming languages.
Upload any dataset and get instant AI-driven EDA, visualization recommendations, correlation insights, and model-readiness scoring automatically.
Scrapes and analyzes thousands of job postings to identify emerging skill trends, salary correlations, and in-demand technologies using ML and NLP.
Extracts entities, relationships, and semantic connections from documents to automatically build interactive knowledge graphs for enterprise intelligence.
ML model predicting server bottlenecks and failures before they occur by analyzing CPU, memory, and I/O patterns — with automated alerting.
AI-powered zero-day threat detection using ML to identify unknown vulnerabilities in real-time before they are exploited.
AI-powered code review assistant with security analysis and multi-language support for automated code quality improvement.
Hackathon-winning React Native app for motor vehicle services and emergency assistance — built under competition pressure.
ML model predicting stock price trends using historical data and advanced time-series algorithms with accuracy benchmarks.
Phishing URL detector with persistent history tracking and real-time threat analysis using pattern recognition and ML classification.
Java GUI for number system conversions — Binary, Octal, Decimal, and Hexadecimal — with a clean intuitive interface.
Comprehensive skills built through academic excellence and real-world projects.
Industry-recognized credentials validating expertise in AI, security, and development.
Expert in AI security frameworks, ethical AI implementation, and governance standards for enterprise AI systems.
Advanced command line, system administration, security hardening, and automation scripting expertise.
Expert-level Python development, automation, scripting, and machine learning implementation skills.
Professional network security, threat mitigation, and security infrastructure management.
Security principles, cryptography, network security, and ethical hacking fundamentals.
Award-winning problem-solving and rapid prototyping demonstrated in competitive hackathon environments.
Available for full-time positions, freelance projects, and consulting work.