Portfolio | Abdul Hannan

About

I'm Abdul Hannan

Software Engineer at Capgemini

As a Software Engineer and passionate technologist, I am deeply passionate about technology — particularly in the domains of Artificial Intelligence, Machine Learning, Data Engineering and Full-Stack Software Development. My journey has been one of continuous learning and growth, where I specialize in turning complex challenges into opportunities and delivering scalable, meaningful solutions.

With hands-on experience in Java full-stack Angular development, Artificial Intelligence, Machine Learning, and Data Engineering, I thrive in environments that demand innovation, precision, and real-world impact. , I am actively sharpening my software engineering skills while contributing to digital transformation projects.

Fueled by curiosity and a problem-solving mindset, I take pride in turning ideas into elegant, functional systems. In a rapidly evolving tech landscape, I’m eager to collaborate on impactful projects, learn from like-minded professionals, and help shape the future through technology.

💬 Let’s connect and explore how we can build, innovate, and drive change together.

email : abdulhannan.shaikhh@gmail.com

place : Bangalore, Karnataka, India

Resume

Education

Bachelor of Technology in Computer Engineering

Presidency University, Department of Computer Science and Engineering

2020 - 2024 | GPA: 8.20/10

Pre - University in Physics, Chemistry, Math and Computer Science

Reva Independent PU College | PCMC

2018 - 2020 | Percentage: 84%

Experience

Capgemini, India

Analyst / Software Engineer | Fulltime

Sep 2024 - present

Taipei Medical University, Taiwan

Research Assistant Intern | Internship

June 2024 - Aug 2024

VYZA Solutions Private Limited, India

Website Developer | Internship

Sep 2023 - Dec 2023

Projects

GeoFaceTrack - AI Powered Attendance System

Start Date: Nov 2024
End Date: Apr 2025
Details:
- Built a full-stack Smart Attendance System that integrates pre-trained facial recognition models with advanced anti-spoofing mechanisms using a Python Flask API, enabling real-time, tamper-proof biometric identity verification.
- Developed an intelligent access control layer by combining GPS-based real-time location tracking and Wi-Fi network IP validation within Angular, allowing attendance marking only within authorized geo-fenced zones—ensuring zero tolerance for spoofing or location manipulation.
- Architected a secure, scalable backend using Spring Boot and MySQL, designed with conditional data persistence logic that only stores records upon dual-validation of biometric and environmental checks—ensuring end-to-end data integrity, security, and auditability.
- Features: Deep Learning Facial Recognition | Anti-Spoofing | GPS-Based Network Validation & Network IP Validation
Tech Stack: Core Java, Spring Boot, Hibernate, Microservices, REST APIs, HTML, CSS, JavaScript, Bootstrap, Angular, MySQL, Git, GitHub, Google Cloud Platform (GCP)
Code Link: GitHub Repository

Pressure Injury Prediction and Progression ML Model

Start Date: Jun 2024
End Date: Aug 2024
Details:
- Developed robust machine learning model using Random Forest and LASSO Regression to predict the onset and progression of pressure injuries, leveraging multimodal, time-series healthcare data including infrared imagery and EHR records. Achieved up to 90% accuracy through structured training and 70–75% accuracy using short-term trend modeling.
- Led a research-driven approach, conducting a comprehensive literature review to guide feature engineering and temporal data optimization, with a strong emphasis on clinical relevance, reproducibility, and contribution toward a research publication.
- Refined model performance through expert-informed iteration, enhancing its ability to detect early-stage deterioration patterns and providing a foundation for AI-powered clinical decision support systems aimed at improving patient outcomes.
Tech Stack: Python (Programming Language), Data Analysis, Data Visualization, Machine Learning Literature review, Healthcare Information Technology (HIT)
Code Link: GitHub Repository

LifeSaver: Blood Donation Inventory Management System

Start Date: Oct 2023
End Date: Jan 2024
Details:
- Designed and engineered LifeSaver, a comprehensive blood donation management application system aimed at digitizing and optimizing the end-to-end lifecycle of blood inventory operations—including donor registration, appointment scheduling, donation tracking, and transparency for hospitals and blood banks.
- Published a peer-reviewed technical paper titled “LifeSaver Blood Donation Management System Web App using MERN Stack” in the International Research Journal of Modernization in Engineering Technology & Science (IRJMETS), Vol. 06, Issue 01, 2023, demonstrating the project’s technical innovation and practical impact on real-time healthcare logistics and resource optimization.
- Led the full development lifecycle, including UI/UX design, API integration, performance tuning, and secure user authentication. Conducted rigorous functional and usability testing to ensure a seamless experience across devices. The project was recognized in the university’s Project Expo for its real-world relevance and measurable impact on inventory accuracy, donor engagement
Tech Stack: MongoDB, Express.js, React.js, Node.js
Code Link: GitHub Repository

Certifications

Google Cloud Certified Associate Cloud Engineer

Google Cloud

Issued: May 2025

Single Page Web Applications with AngularJS

Coursera | Johns Hopkins University

Issued: Mar 2025

Build REST API with Spring Boot and Data JPA

Udemy | InfyBuzz Learning

Issued: Feb 2025

Skills

Java

Spring Boot

Microservices

REST API's

Angular

JavaScript

Bootstrap

CSS

HTML

MySQL

Google Cloud Platform

Git

GitHub

GitHub Copilot

Achievements & Publications

LifeSaver: Blood Donation Inventory Management System Web App using MERN Stack

Published in International Research Journal of Modernization in Engineering Technology & Science, Jan 13, 2024

• Conducted in-depth research on optimizing blood donation inventory management and published a technical paper titled “LifeSaver Blood Donation Management System Web App using MERN Stack” in the International Research Journal of Modernization in Engineering Technology & Science (IRJMETS), Vol. 06, Issue 01, 2023.
• Designed and developed LifeSaver, a full-featured blood inventory management system using the MERN stack (MongoDB, Express.js, React.js, Node.js), addressing real-time needs of hospitals and healthcare organizations.
• Tackled complex challenges in technology integration and UX design to streamline workflows such as donor registration, appointment scheduling, and inventory tracking—resulting in a seamless and intuitive user experience.
• Delivered a high-speed, data-driven platform featuring intuitive dashboards and analytics, significantly improving operational decision-making for healthcare professionals.
• Conducted comprehensive testing and performance evaluation, showcasing measurable improvements in inventory accuracy, process efficiency, and donor engagement rates.

Read Publication

Coursework

Full Stack Software Development CSE 3150

Software Engineering CSE 2014

Object Oriented Programming CSE 2009

Web 2.0 CSE 2056

Database Management System CSE 2012

Cloud Computing CSE 2013

Artificial Intelligence and Machine Learning CSE 3001

Fundamentals of Data Analysis CSE 2027

Hi There, I'm Abdul Hannan