Shakib Absar

Shakib Absar

Software Developer &

About

Assalamualaikum! I'm a Computer Science student at Leading University (CGPA: 3.90) with a passion for Software development and AI/ML. I specialize in Flutter development and have experience working with various technologies.

Currently working as an Undergraduate Research Assistant at Intex Research Lab, focusing on image processing and computer vision projects. I'm also active in competitive programming with 1000+ problems solved across various platforms.

I love mentoring juniors and have served as Chairperson of IEEE Computer Society LU Student Branch. Always excited to work on innovative projects that can make a real impact.

1000+
Problems Solved
2x
Hackathon Win
4+
Major Projects
10+
Awards

Projects

Digital Pharmacist (Digi-Pharma)

Mobile Health Application

Developed a comprehensive Flutter app for patients to manage medicine records, medication schedules, and electronic health records. Features ML-powered prescription scanner and AI health assistant chatbot using Gemini API.

Flutter Dart GetX Firebase ML Kit Gemini API

Google Map Scraper

Web Scraping Tool

Built a Streamlit web application that scrapes business details from Google Maps using Playwright automation. Supports bulk data extraction and Excel export functionality.

Python Playwright Streamlit Web Scraping

Rate My Professor AI

RAG-Powered System

AI-powered professor information retrieval system using RAG pipeline with Gemini embeddings and vector database, featuring a modern NextJS frontend.

RAG LLM NextJS ReactJS Gemini API

Bangladesh Medicine Data Analysis

Data Science Project

Scraped and analyzed 50,000+ medicine records from Bangladesh government database, identifying key patterns and underrepresented drug classes with comprehensive visualizations.

Python Pandas NumPy Matplotlib Scikit-learn

Research & Publications

A Novel Ensemble-Based Deep Learning Model with Explainable AI for Accurate Kidney Disease Diagnosis

ArticleAdvances in Artificial Intelligence and Machine LearningJanuary 2025

Md. Arifuzzaman, Iftekhar Ahmed, Md. Jalal Uddin Chowdhury, Shakib Absar

105 Reads 1 Citation

Developed an ensemble-based deep learning approach for kidney disease diagnosis with explainable AI components, achieving high accuracy in medical diagnosis prediction.

Performance Analysis of Tesseract and EasyOCR for Bangla Optical Character Recognition on the Novel Bangla CrossHair Dataset

Conference PaperJanuary 2025

Abdulla Nasir Chowdhury, Aftar Ahmad Sami, Shah Masud Parvej Mamun, Md. Saidur Rahman Kohinoor, Shakib Absar

57 Reads Most read in the last month

Comprehensive performance analysis comparing Tesseract and EasyOCR for Bangla text recognition, introducing a novel CrossHair dataset for improved OCR evaluation.

Bangladesh-Medicine-Dataset-DGDA

DatasetApril 2025

Shakib Absar

8 Reads 1 Citation

Comprehensive dataset of Bangladesh medicine information scraped from DGDA database, containing 50,000+ medicine records for research and analysis purposes.

Experience

AI/ML Engineering Intern

Indetechs Software Ltd. • May 2025 - Present

Working on end-to-end machine learning pipelines, from data cleaning and feature selection to model training and deployment. Collaborating on AI-based product development using Python, Scikit-learn, and deep learning frameworks like PyTorch. Also involved in REST API integration and performance tuning.

Undergraduate Research Assistant

Intex Research Lab • Sep 2023 - Present

Collaborating with research team on image processing and computer vision projects using OCR technology and Deep Learning. Currently working on kidney disease detection using segmentation methods.

Software Engineering Fellow

Headstarter AI • Jul 2024 - Oct 2024

Built 3 innovative AI projects leveraging ReactJS, NextJS, LLM, RAG and OpenAI API. Ranked as finalist in Headstarter AI Hiring Hackathon with team project.

Chairperson

IEEE Computer Society Leading University Student Branch

Leading the IEEE Computer Society chapter, organizing programming competitions and technical workshops. Mentoring juniors in competitive programming and problem-solving.

Skills

Languages

  • C/C++
  • Python
  • Dart
  • Java
  • JavaScript

Frameworks

  • Flutter
  • ReactJS / NextJS
  • TensorFlow / PyTorch
  • NodeJS

Tools & Database

  • Firebase
  • MySQL
  • Git & GitHub
  • Android Studio
  • Figma

Specializations

  • Mobile App Development
  • Machine Learning & AI
  • Competitive Programming
  • Data Analysis
  • Web Scraping

Contact

Feel free to reach out for collaboration or just to say hi! I'm always open to discussing new opportunities.