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About Me
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.
Featured AI Systems
LLM-Based RFP Processing System
LLM-powered system that generates structured responses from RFP requirements
Extraction, chunking, LLM processing, structured output and write-back using Azure Functions, Azure OpenAI, Power Automate, and Cloud Storage
2026
Remittance OCR & AI Extraction
OCR + LLM pipeline extracting structured financial data from remittance PDFs
Combined OCR, image processing, and LLM-based parsing for multi-document extraction
Go to my GitHub to download the full project here.
2025
Demo Videos
Time marks:
11:19 - Risk Agent
12:00 - Remittance Processing Solution
Analytics Projects
Business Analytics Capstone I - Python
Analysis of Non-Payment Probability Among Canadian Households
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
Business Analytics Capstone II - SAS
An Analysis of a Company's Ideal Customer
A series of regressions, decision trees, and neural networks were implemented to find a supermarket's ideal customer.
Download the project report here.
2022
Term Project - MySQL
A Study of a Company's Sales Trends
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
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