💻 I’m currently working on
Advancing my expertise in AI and machine learning as part of my Master’s in Computer Science at Drexel University (Expected Graduation: June 2026). I’m focusing on projects like AI-driven recruiting systems, predictive modeling for health indicators, and computer vision applications for identity verification.
🤝 I’m looking to collaborate on
Innovative AI/ML projects, open-source contributions, or research involving deep learning, computer vision, or natural language processing. I’m eager to work on real-world applications that leverage tools like LangChain, OpenCV, or PyTorch.
🆘 I’m looking for help with
Scaling AI models for production environments and optimizing large-scale data pipelines for distributed systems.
📚 I’m currently learning
Advanced topics in computer vision, reinforcement learning, and simulation/modeling to enhance my ability to build robust AI systems.
❓ Ask me about
AI-driven solutions (e.g., resume parsing, license verification), machine learning model development (e.g., SVM, Logistic Regression), or data preprocessing techniques (e.g., PCA, ETL pipelines).
🎉 Fun fact
I optimized database queries at Mealie Brand Zimbabwe, reducing response time by 35%, and I love tackling challenges—whether it’s fine-tuning an LLM or debugging a complex system!
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AI Agency Recruiter System (Multi-Agent LLM-powered) (Winter 2025)
Designed an AI-driven recruiting system using LangChain, OpenAI Swarm, and Ollama for resume parsing, job matching, and skill extraction. Fine-tuned Llama 3.2 with RAG for context-aware recommendations and built an interactive UI with Streamlit for real-time hiring insights. -
Predicting Diabetes from Health Indicators (Fall 2024)
Developed a predictive model using the CDC Diabetes Health Indicators dataset (100k training, 25k validation). Applied PCA for feature selection, trained Logistic Regression and SVM models, and achieved 90% accuracy in identifying diabetes risk factors. -
AI Driver’s License Verification (Fall 2022)
Built an AI system for local police using OpenCV and TensorFlow for face and license plate detection. Integrated with MySQL for real-time validation, secured data with AES-256 encryption, and conducted field tests for reliability.
