Machine Learning · Artificial Intelligence · Data Science · Web Development · Networking · Entrepreneur
BSc in Computer Science & Engineering (Data Science) graduate from East West University with hands-on experience in machine learning, deep learning, and computer vision. Completed five AI/ML research projects and three certifications.

I hold a BSc in Computer Science & Engineering from East West University, with a major in Data Science (CGPA: 3.01/4.00). Coursework includes Machine Learning, Deep Learning, Computer Vision, Data Structures & Algorithms, Computer Networks, Probability & Statistics, Linear Algebra, Discrete Mathematics, and Database Systems.
My work sits at the intersection of applied AI research and production software — building models that are accurate, explainable and useful. I've completed five AI/ML research projects including Tomato Leaf Disease Classification, Wall Crack Detection, and Rice Varieties Classification using PyTorch, CNNs, and Scikit-learn.
Alongside engineering, I am the Founder & Owner of two successful e-commerce ventures:


Since September 2023, I have managed product importing, supplier negotiation, inventory, financial budgeting, accounts, monthly P&L tracking, and marketing strategy for both businesses. Leading a small team has developed my leadership, client communication, and operational coordination skills.
I care about craft — clean data pipelines, disciplined evaluation, thoughtful interfaces, and networks that are as reliable in stress as they are on paper.
Programming, machine learning, data analytics, networking, and digital skills.
A curated view of research-grade and applied projects built with clean methodology.

Trained a CNN to classify tomato plant diseases from leaf images using PyTorch. Applied Grad-CAM for model interpretability and evaluated with accuracy, precision, recall, and F1.

Researched automated structural defect detection; implemented a CNN-based feature extraction pipeline with a documented research report.

Built a multi-class ML classifier with a full preprocessing pipeline, evaluated using confusion matrix metrics.

Designed and simulated enterprise-grade network topologies including LAN/WAN configurations, routing protocols, and network security implementations using Cisco Packet Tracer.
From research prototypes to production deployments — clearly scoped and dependable.
Clear scope, clear timelines. Custom quotes available for anything outside these tiers.
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