About me
I am currently pursuing my MSc in Advanced Computer Science with Artificial Intelligence at the University of Strathclyde, with a strong foundation in machine learning, backend development, and data-driven systems.
I enjoy building applied AI solutions — from ML pipelines and LLM-powered tools to backend and full-stack systems — with a focus on real-world impact, scalability, and clean engineering practices.
Selected Projects
Applied AI, Data Systems, and Software Engineering Work
LLM-Enhanced Data Debugger
An AI-powered tool that analyzes structured datasets to detect anomalies, summarize schema issues, and provide intelligent data quality insights using large language models.
Python · FastAPI · Pandas · OpenAI API · Data Validation
Financial News Sentiment Analysis System
A natural language processing system that extracts, classifies, and analyzes financial news sentiment to support market-aware decision making.
Python · NLP · Transformers · Text Classification · Data Analysis
IBM Data Engineering Capstone Project
An end-to-end data engineering project involving data ingestion, transformation, pipeline orchestration, and analytics using industry-standard tools.
Python · SQL · ETL · Data Pipelines · Cloud & Big Data Tools
Certifications
- IBM Data Engineering Professional Certificate
- HarvardX – Computer Science for AI
- ColumbiaX – Essential Math for AI
- IBM DevOps & Software Engineering (In Progress)
Skills
Programming & Languages
Python, C#, SQL
AI / ML
Machine Learning, NLP, Model Evaluation, LLMs
Data & Systems
Data Pipelines, ETL, APIs, Databases
Tools & Platforms
FastAPI, Git, Linux, Cloud Fundamentals
Let’s Work Together!
I am currently seeking opportunities where I can apply my skills in artificial intelligence, data engineering, and software systems while continuing to grow as an engineer.
If my work aligns with what you’re looking for, feel free to reach out.