Building data-intensive systems and intelligent applications.
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I am a Computer Engineering student at Queen's University with a strong focus on Big Data, Machine Learning, and Cloud Computing. I am passionate about designing and building scalable, intelligent systems that solve real-world problems.
- 🔭 I’m currently working on advanced RAG systems and cloud-native architectures.
- 🌱 I’m currently learning Azure AI Engineering and Deep Reinforcement Learning.
- 🎓 I hold professional certificates in Data Science and Artificial Intelligence.
- ☁️ I am an AWS Certified Solutions Architect.
| Project | Description | Tech Stack |
|---|---|---|
| NeuroEvolve | NeuroEvolve is an intelligent agent system that uses genetic algorithms to automatically design and optimize neural network architectures for image classification. | Python, Ray, Steamlit |
| GraphRAG Clinical Assistant | Graph-based retrieval system turning clinical guidelines into a searchable knowledge graph with cited answers. | Python, Neo4j, LangChain, AWS |
| Legal RAG Chatbot | Serverless RAG chatbot answering Ontario real estate legal questions using GPT-4 Turbo and Pinecone. | Python, TypeScript, AWS Lambda, Pinecone |
| omarafify.com | Modern portfolio engine with custom MDX pipeline, edge analytics, and interactive UI. | Next.js, TypeScript, Tailwind, Redis |
| SnoutNet | Deep learning system for accurately localizing and identifying pet noses in images. | Python, PyTorch, YOLO, OpenCV |
- BASc in Computer Engineering | Queen's University (2021 - 2026)
- Focus: Big Data, ML/AI, Cloud Computing
- Professional Certificate in Artificial Intelligence | University of Toronto (2025)
- Professional Certificate in Data Science | University of Waterloo (2023 - 2024)
- AWS Certified Solutions Architect – Associate (Amazon Web Services)
- Certified in Cybersecurity (ISC2)
- Professional Scrum Master I (Scrum.org)
- Azure AI Engineer Associate (Microsoft - In Progress)