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EganStark/README.md

SABiT ALFi

Typing SVG

Computer Science & Engineering graduate building interpretable AI systems, research-led products, and practical software.

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About

I am a CSE graduate from East West University, with a major in Data Science and a research focus on explainable artificial intelligence. I care about systems that do more than produce an answer: they should expose useful evidence, respect their users, and hold up outside a notebook.

  • Published 4 peer-reviewed conference papers across explainable AI, computer vision, agricultural intelligence, and environmental forecasting
  • First author of a Swin Transformer study on rare and endangered medicinal plant classification
  • Building across the full path from model experimentation and analysis to databases, interfaces, deployment, and documentation
  • Open to opportunities in Data Science, Machine Learning, and AI Engineering

Selected work

An explainable fetal-health classification application that turns LightGBM predictions into interpretable evidence through LIME.

LightGBM LIME Flask

Live application ↗

A bilingual mosque platform with a public website and management dashboard for prayer schedules, community records, donations, finance, and daily operations.

React TypeScript Node.js PostgreSQL

Live website ↗ · Admin demo ↗

A privacy-first wellbeing journal with time tracking, grounded AI reflections, opt-in Circles, realtime presence, and Row Level Security.

React TypeScript Supabase Groq AI

Live application ↗

A private, installable reading tracker for books, sessions, rereads, quotes, goals, and statistics, with LitShelves for cataloguing a physical book collection.

React TypeScript Supabase Vite

Live application ↗
Research & publications
Role Publication Venue
First author REMP: A Swin Transformer-Powered Approach to Classifying Rare and Endangered Medicinal Plants IEEE QPAIN 2025
Second author Explainable Deep Learning Paradigms for Nitrogen Deficiency Detection IEEE ICCIT 2025
Co-author Detection of Lemon Leaf Diseases Using Inception V3-Based Machine Learning Model Springer LNNS
Co-author Forecasting Air Quality: A Comprehensive Survey of Air Pollution Prediction Methods and Applications Springer LNNS

View the complete publication record →

Technical toolkit

Languages & engineering

Python C C++ TypeScript JavaScript SQL

Machine learning & analysis

PyTorch TensorFlow Scikit-learn Pandas NumPy Grad-CAM LIME

Product & infrastructure

React Astro Supabase PostgreSQL Git Vercel

GitHub activity

Sabit Al Alfi's GitHub contribution summary
Repositories by language GitHub profile statistics

Beyond code

I have supported science and community initiatives through the Bangladesh Physics Olympiad — Bogra Region (2024–2025) and Volunteer for Bangladesh. I value work that improves understanding, invites collaboration, and remains useful after the demo ends.


Research depth. Engineering range.
Dhaka, Bangladesh · sabit-al-alfi-portfolio.vercel.app

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