I am a Computer Science and Engineering student at Daffodil International University passionate about Artificial Intelligence, Machine Learning, and software development. I am continuously building my foundation in computer science while exploring AI technologies to create practical and impactful solutions.
I'm a Computer Science & Engineering student at Daffodil International University, expected to graduate in 2029. My long-term goal is to become an AI / Machine Learning Engineer who designs intelligent systems that solve real, human problems.
I'm learning AI from the ground up — starting with strong CS fundamentals, sharpening problem-solving, and gradually layering machine learning, deep learning and modern AI tooling on top.
Daffodil International University · Dhaka, Bangladesh
Currently building practical software development experience through academic coursework and personal projects. Every project is a chance to strengthen fundamentals and inch closer to production-grade AI engineering.
Systems thinking and low-level fundamentals.
Reading, experimenting, prototyping in Python.
Clean structure, versioning, iteration.
problem → Managing student records manually is slow and error-prone.
solution → A structured console application to add, view, update, and organize student data efficiently.
future → Migrate to a database-backed service with a web UI.
problem → Tracking books and borrowers on paper doesn't scale.
solution → A console-based library manager for book records, borrower tracking, and lending operations.
future → Add authentication and REST API access.
problem → Practicing core language fundamentals in a real app shape.
solution → A menu-driven calculator supporting all core arithmetic operations with clean input handling.
future → Add scientific and matrix operations.
problem → Storing and finding contacts through structured programming.
solution → A contact manager for storing, searching, updating, and removing phonebook entries.
future → Ship as a cross-platform mobile app.
problem → Coordinating products and customer orders in one workflow.
solution → A software project modelling order processing and product catalog management.
future → Extend with ML-based product recommendations.
Where I'm heading — the kinds of problems I want to solve for teams and startups.
Designing, training and evaluating models for classification, regression and prediction tasks.
Turning raw data into decisions with clean pipelines and reproducible experiments.
Automating repetitive workflows with lightweight, dependable AI systems.
Building applications where data and models sit at the core of the product experience.
Recruiters, startups and research teams — I'd love to hear about the problem you're working on.
