Rasel ahmmed

Built a production-ready Telegram community moderation bot for large enterprise ecosystems. Integrated an asynchronous SQLite database to manage a strict 3-strike penalty system with private admin audit logging.

Developed a full-stack enterprise dashboard for ISPs to automate billing and inventory. Engineered deep API integration with MikroTik RouterOS for real-time network diagnostics and automated bandwidth throttling.

Developed a lightweight Enterprise Resource Planning application focused on Point of Sale and dynamic inventory management. Designed secure JWT-based user authentication and real-time transactional ledgers.

Developed a Convolutional Neural Network achieving 94% accuracy in classifying 8 distinct skin diseases. Bridged the computer vision model with Generative AI to translate complex medical predictions into patient-friendly explanations.

Architected a highly interactive RPG narrative engine with seamless offline-online synchronization. Developed a custom AI Dungeon Master using Google Gemini LLMs and built a resilient FastAPI backend with 15+ schema migrations.

Pursuing a BSc in Computer Science and Engineering, expected to graduate in December 2026.

Grade: 4.42/5.00

Completed Higher Secondary Certificate (HSC) in Science with a GPA of 4.42 out of 5.00 in 2020.

Grade: 4.28/5.00

Completed Secondary School Certificate (SSC) in Science with a GPA of 4.28 out of 5.00 in 2018.

Completed the Machine Learning Specialization offered by Stanford University and DeepLearning.AI on Coursera.

Completed the Python for Data Science course offered by IBM on DataCamp.

Completed the Deep Learning Specialization offered by DeepLearning.AI on Coursera.