Md. Hasib Ahmed Khan
Jr. Software Engineer Intern & AI Researcher
Computer Science and Engineering student at Jahangirnagar University with industry experience building robust ERP modules using Python & Django. Passionate about MERN Stack, Flutter development, and Explainable AI (XAI) research.
About Me
I am currently a 4th-year Computer Science & Engineering student at Jahangirnagar University (CGPA: 3.60/4.00). I blend academic rigor with commercial software engineering experience as a Junior Software Engineer Intern at Divine IT Ltd.
My skill set spans full-stack development using the MERN framework, mobile application development with Flutter, and advanced machine learning modeling. My research portfolio currently explores multilingual Natural Language Processing (NLP), Explainable AI (XAI), and seismology-related prediction models.
Education
BSc in CSE (4th Year)
Jahangirnagar UniversityExperience
Jr. Software Intern
Divine IT Ltd.CGPA
3.60 / 4.00
Academic ExcellenceProfessional Experience
Jr. Software Engineer Intern
Divine IT Ltd. | Dhaka, Bangladesh
- Developing 2+ ERP modules using Python & Django (MVTS); building high-performance RESTful APIs, ORM schemas, and service layers with PostgreSQL.
- Collaborating in Agile sprints on HR, inventory & workflow ERP modules; actively participating in code reviews, integration testing, and producing clear SDLC documentation.
IoT Course Instructor
JU CSE Programming Community | Jahangirnagar University
- Delivered a comprehensive 8-session IoT curriculum covering Arduino programming, sensor integration, OLED screens, and cloud control systems to 30+ students.
- Created reusable circuit diagrams, hardware templates, and starter code repositories to ease learning friction.
Technical Skills
Languages
Frontend
Backend & APIs
Databases & Arch
AI / ML / NLP
Practices
Development Projects
Research Projects
Civic Sense Classification
Fine-tuned mBERT on a dataset of 225K multilingual narrative samples (English, Bangla, Banglish), achieving +18% cross-lingual accuracy over TF-IDF. Integrated SHAP + Attention Heatmap XAI models.
Spatial Aftershock Prediction
Physics-informed MLP neural network trained on a 36-year Bengal Basin seismic dataset (2,762 events). Achieves an AUC of 0.882 and 80.09% validation accuracy, generating satellite-free heatmaps.
BlackBengal Goat Identification
Computer vision model built using YOLOv8, trained on 2,000+ custom-annotated goat head images from the Savar Goat Development Farm to compute ear ratios and identify livestock breeds.
Voluntary Work & Leadership
NCPC Technical Team
Technical Committee Member
Supported technical architecture, contest environments, server setups, and automated grading systems for the National Collegiate Programming Contest (NCPC), facilitating seamless problem-solving environment for thousands of competitors.
Flood Rescue Team Lead 2025
Team Coordinator & Logistics Head
Coordinated local flood relief and boat rescue operations during the severe 2025 flood disaster. Managed resource distribution pipelines, relief maps, emergency communication systems, and successfully relocated vulnerable citizens to safety.
Certifications & Achievements
Certifications
- MERN Full Stack Dev -- BongoDev
- IoT Development Course -- EDGE Program
- Responsive Web Design -- freeCodeCamp
Contests & Hackathons
- Finalist -- Top 10 of 50+ Teams GenVote Hackathon, Powered by IFES, 2025
- Programming Contest Participant Brain Battle, Jahangirnagar University
- Codeforces & Codechef Highest rating -- 1197 (Codechef)
Get In Touch
Let's talk about your projects
Have an interesting project, research collaboration, or position? Drop me a message and I'll get back to you as soon as possible.