Applied machine learning in real systems.
Master’s student in Information Technology building practical ML systems using Python and FastAPI. Currently developing a topic classification and location-ranking pipeline for Finnish news and extending it through structured context sharing (MCP) in my thesis.
Focus
Professional & Research Work
AI / ML Internship – News Classification System
Designing and training a supervised topic classification model for Finnish news articles within a FastAPI microservice architecture. Implementing NLP preprocessing,location extraction, ranking logic with confidence scoring, and controlled human-in-the-loop review for edge cases and evaluation.
Master’s Thesis – Context-Aware AI (MCP)
Extending the internship system by introducing and integrating Model Context Protocol (MCP) to enable controlled data sharing between classification, location extraction, and ranking modules, with systematic evaluation of improvements in consistency and system reliability.
VoIP Backend – Company Project IMIB network
Designed REST endpoints and database models for a Flask and MySQL backend system supporting CRUD and bulk operations and integrations. Contributed to structured API design, database integration, and collaborative development within a production-oriented environment.
Public Demos
Machine Learning Experiments
Regression & Classification Experiments
Reproducible Python experiments including Ridge/Lasso regression, SVM, KNN, feature selection, and structured evaluation.
Skills
Languages: English (Fluent) · Finnish (Basic – A1/A2)
Contact
Email: irum.shehryar@gmail.com