I'm a Computer Science and Engineering graduate from United International University (UIU), Dhaka, Bangladesh. I have completed all academic coursework and credits for my B.Sc. in CSE, with convocation pending.

My interests include Software Development, Data Science, Artificial Intelligence, and Software Quality Assurance. Through university coursework, academic projects, and research, I have explored different areas of computing and gained hands-on experience with programming languages, development frameworks, databases, machine learning tools, and embedded systems.

My academic journey includes multiple merit-based tuition scholarships, including awards of up to 100%.

Alongside my academic work, I have experience in data labeling, image annotation, freelance data entry, tutoring, and student organization activities. These experiences have helped me develop attention to detail, problem-solving, communication, and teamwork skills.

I'm continuing to strengthen my technical foundation through independent learning and practical project development.

The following technologies and tools reflect my exposure through coursework, academic projects, research, and practical tasks. My experience and proficiency vary across technologies, and I'm continuing to develop my skills.

• Strengthening programming fundamentals and problem-solving skills.
• Improving Python and SQL through practical exercises and projects.
• Building a stronger foundation in Data Science and Machine Learning.
• Learning and applying software development and testing practices.
• Exploring AI applications, Bengali NLP, and data-driven solutions.
• Improving project documentation, code organization, and collaborative development skills.

United International University (UIU) — Dhaka, Bangladesh | 2020–2026

• Academic Status: All coursework and academic credits completed; convocation pending.
• Academic Achievement: Multiple merit-based tuition scholarships, including tuition waivers of up to 100%.

Government Tolaram College | 2017–2019

• Group: Science

Hariharpara High School | 2015–2017

• Group: Science

Part-Time / Freelance | February 2026–Present

• Perform image annotation and labeling tasks using bounding boxes, polygons, and segmentation techniques.
• Follow project-specific annotation guidelines to maintain labeling consistency.
• Review assigned work for annotation errors and inconsistencies.
• Organize and complete assigned tasks according to project requirements.

ARC Annotation | March 2025–January 2026

• Worked on image labeling, polygon tracing, and multi-class segmentation tasks.
• Followed annotation guidelines to label visual data consistently.
• Reviewed annotations and corrected issues where required.
• Completed assigned tasks according to project instructions and deadlines.

Freelance / Fiverr | 2021–2024

• Worked on typing, document formatting, data entry, and spreadsheet-related tasks.
• Used Microsoft Word and Excel to organize and format information.
• Focused on accuracy, formatting consistency, and timely task completion.

UIU App Forum | 2020–2022

• Participated in student organization activities and technical initiatives.
• Collaborated with team members to support events, seminars, and student engagement.
• Developed communication, teamwork, and coordination skills.

Hult Prize at UIU | October 2020–February 2022

• Supported digital communication and student outreach activities.
• Contributed to promotional activities related to social entrepreneurship initiatives.
• Collaborated with volunteers to support organizational engagement.

• CCNA: Introduction to Networks — Cisco Networking Academy, 2023
• UX Research Strategy with AI — Grameenphone Academy

The following projects were completed through university coursework, academic research, and project-based learning. They represent my experience exploring different areas of software development, AI, machine learning, databases, cloud security, and embedded systems.

Quantization-Aware Federated Learning with Site-Local Normalization for TinyML Clinical Deployment

• Investigated brain tumor MRI classification with attention to data privacy, resource-constrained edge devices, and scanner-related domain differences.
• Reported a 55.2% near-duplicate leakage finding in the evaluated Kaggle benchmark data and developed a decontaminated evaluation protocol.
• Evaluated an INT8-quantized model with a reported size of 606 KB and 94.7% classification accuracy.
• Explored quantization and federated learning techniques for resource-constrained medical AI applications.
• Technologies: Python TensorFlow/Keras TensorFlow Lite (INT8) Federated Learning OpenCV NumPy

Empirical AI Evaluation & Low-Resource Bengali NLP

• Investigated factual inconsistencies and hallucination patterns in Bengali responses generated by large language models, including GPT, Gemini, and Claude.
• Curated and annotated a benchmark dataset containing 7,043 Bengali question-answer pairs.
• Reported a 56.5% hallucination rate within the evaluated dataset and experimental setup.
• Compared BanglaBERT (ELECTRA) and mBERT for hallucination classification.
• Reported 82.47% accuracy and 82.45% Macro F1 for the evaluated model.
• Technologies: Python PyTorch Hugging Face Transformers BanglaBERT mBERT Data Annotation

Environmental Sensing, Wireless Telemetry & Data Analysis

• Explored an airborne sensing payload for collecting environmental measurements, atmospheric data, and altitude-related information.
• Integrated environmental sensors, XBee RF communication, and edge anomaly detection.
• Reported a 94%–98% packet delivery ratio (PDR) in the evaluated telemetry setup.
• Reported 84.7% accuracy for the evaluated anomaly-detection model.
• Technologies: Embedded C/C++ XBee RF Python Scikit-learn MQ-135 BME680

Advanced Object-Oriented Programming (AOOP) Project

• Developed an academic web application to support collaboration between supervisors, student researchers, and project teams.
• Implemented features for role-based access control, proposal review, milestone management, and document exchange.
• Applied object-oriented programming and web application development concepts.
• Technologies: Java Spring Boot Spring Data JPA Spring Security PostgreSQL/MySQL HTML5 CSS3 JavaScript

Agile Workflow Management & AI-Assisted Task Planning

• Developed an academic project exploring AI-assisted decomposition of project deliverables into structured subtasks using LLaMA 3.1.
• Includes Kanban boards, Gantt charts, team workload distribution, and SOS escalation functionality.
• Combines project management workflows with AI-assisted task planning.
• Technologies: PHP 8.2 MySQL Groq Cloud API LLaMA 3.1 JavaScript (ES6+) Bootstrap

Urban Mobility & Shared Parking Web Application

• Designed a web-based concept connecting vehicle drivers with residential and commercial parking space owners.
• Explored parking discovery and reservation workflows.
• Designed interface concepts and user journeys using Figma.
• Technologies: HTML5 CSS3 JavaScript Figma Responsive Web Design

Database-Driven Student Accommodation Platform

• Developed a student-focused application concept for finding accommodation and compatible roommates near campus.
• Includes separate landlord and student roles, accommodation details, and amenity filtering.
• Applied relational database and web development concepts.
• Technologies: HTML5 CSS3 JavaScript MySQL/PostgreSQL Bootstrap

Machine Learning-Assisted Cloud Security Analysis

• Explored analysis of Kubernetes and AWS IAM/SAM configuration files to identify potential security misconfigurations.
• Used abstract syntax tree (AST) feature extraction and machine learning techniques to investigate configuration risks.
• Incorporated an LLM-assisted triage workflow and automated YAML remediation.
• Reported a 92% reduction in triage cost within the evaluated experimental setup.
• Technologies: Python PyTorch Geometric Scikit-learn Kubernetes AWS IAM YAML AST Parsing

Embedded Systems Prototype for Safety Monitoring and Automation

• Developed a multi-component smart living prototype exploring medication dispensing, gas hazard detection, fall detection, and RFID-based security monitoring.
• Integrated an RTC-based servo-driven medication cabinet, MQ-2 gas sensor, MPU-6050 motion sensor, and ESP32-based components.
• Included ESP32-CAM and RFID functionality in the overall prototype.
• 📺 Watch Hardware Prototype Demonstrations on Google Drive
• Technologies: Arduino UNO ESP32 ESP32-CAM MPU-6050 DS3231 RTC MQ-2 C/C++

Database Design, SQL Operations & Workflow Management

• Designed relational database structures for task tracking and workforce coordination.
• Worked with normalized schemas, multi-table joins, views, and integrity triggers.
• Explored database consistency and structured information management.
• Technologies: SQL MySQL/PostgreSQL Database Normalization (3NF) Relational Schema Design

I'm interested in connecting with developers, researchers, and technology enthusiasts to learn, collaborate, and explore suitable entry-level opportunities in software development, Data Science, AI, and software testing.

• 📍 Location: Dhaka, Bangladesh
• 📧 Email: isratjahan36140@gmail.com
• 💼 LinkedIn: linkedin.com/in/israt-jahan-rani
• 🐙 GitHub: github.com/isratjahanrani