I am a curiosity-driven Data Scientist and AI Engineer. My unique strength lies in bridging the gap between deep theoretical computing (Quantum/HPC) and production-grade AI Software Engineering.

I don't just train models; I build resilient systems. My background in High-Performance Computing and Data Science gives me the rigor to build complex, multi-agent AI pipelines that don't just work in a notebook—they fail gracefully, route efficiently, and execute autonomously.

🇬🇧 MSc Advanced Data Science & AI — University of Liverpool
🚀 Open Source Contributor (23+ verified commits) • AI Systems Builder
🧠 Obsessed with: Agentic AI • Distributed Systems • Quantum Algorithms • HPC

I believe the future of AI isn't just bigger models—it's reliable systems. Here is how my diverse background makes me a stronger AI Engineer:

• 🧠 The Data Science Core: I don't guess. I profile, cross-validate, and statistically evaluate everything. This ensures the AI agents I build are making decisions based on actual signal, not noise.
• ⚛️ The Quantum & HPC Mindset: Working with Quantum algorithms (Grover's, QKD) and parallel programming (OpenMP) rewires how you think about optimization. It taught me how to handle complex state management and parallel execution—skills directly transferable to orchestrating multi-agent AI workflows.
• 🏗 The Systems Engineering Execution: I wrap my AI in resilient software. I build automatic failovers, REST APIs, vector memory systems, and containerized environments.

• 🤖 Agentic AI: Architected a 5-Agent Autonomous System (Planner/Researcher/Critic) with automatic LLM failover and Qdrant vector memory.
• ⚛️ Quantum Computing: Built Quantum Teleportation, Grover’s Search & BB84 QKD circuits.
• 🧬 HPC Systems: Designed a Disease-Spread Simulation (OpenMP) with high-performance scaling tests.
• 🏗 Software Architecture: Engineered a modular AutoML Python Package with REST APIs, serialized pipelines, and automated reporting.
• 🔥 Open Source: 23+ AI-focused commits across 5 repositories, verified on the Arweave blockchain.

• Extract, Transform, and Load Data
• Finalize a Data Science Project
• Google Advanced Data Analytics Capstone
• Address Business Issues with Data Science
• Data Science Methodology
• Google Data Analytics Capstone: Complete a Case Study
• Analyze Data
• Data Analysis with R Programming
• Train Machine Learning Models
• Tools for Data Science