I am an Applied AI and Machine Learning professional focused on designing and building end-to-end AI systems. My work centers on developing scalable solutions using machine learning models and LLM-based workflows, deployed on Azure and integrated into real-world business processes.
I specialize in translating complex business problems into technical systems, selecting the right approach (ML, LLM, or hybrid), and delivering production-oriented solutions from ingestion to deployment.
My work is supported by a strong quantitative foundation, including formal training in data science (University of Toronto) and ongoing graduate studies in Data Science & Analytics (MSc, starting 2026), complementing hands-on experience in building real-world AI systems.
This portfolio highlights projects involving document processing, structured data extraction, and AI-driven automation, showcasing both system design and implementation.
Combined OCR, image processing, and LLM-based parsing for multi-document extraction
Go to my GitHub to download the full project here.
2025
Time marks:
11:19 - Risk Agent
12:00 - Remittance Processing Solution
Based on Statistics Canada data, big data tools were implemented to predict if a household would skip or delay a payment.
Go to my GitHub to download the full project here.
2022
A series of regressions, decision trees, and neural networks were implemented to find a supermarket's ideal customer.
Download the project report here.
2022
Analyzed the sales trend of a scooter company. MySQL functions, triggers, and stored procedures were implemented.
Go to my GitHub to download the full project here.
2022