Hello, I'm Shihab šš»
With hands-on internship experience and as a Computer Science student, Iām dedicated to developing software solutions that bridge technology with real-world needs. My expertise spans backend, frontend, and full-stack development, enabling me to contribute to projects ranging from early-stage prototypes to production-ready systems. I focus on writing clean, maintainable code and building user-centric, scalable solutions while thriving in environments that prioritize innovation and continuous learning.
Feel free to explore my projects below or connect with me on GitHub and LinkedIn. Iām always open to discussing new ideas, collaboration, or internship opportunities.
Projects
See all projects-
Emotion Classification ML vs AI
A simple emotion classification system with two flask API endpoints, one is SVM machine learning model and other is openai gpt model. This system classifies emotions based on 6 categories (e.g. 0: sadness, 1: joy, 5: surprise).
Python Flask Scikit-learn OpenAI -
AI Chatbot
Built a full-stack open-source chatbot with chat history, role persistence, image generation, and secure API key handling. Designed a responsive UI and clear docs and contribution guidelines, attracting contributors an enabling smooth community contributions.
Spring Boot React Docker Render -
SmartStudent
Developed a full stack smart expense tracking platform, built for student and by student.
Spring Boot React MongoDB Docker Render Netlify
Work Experience
Trillium Health Partners
Software Engineer Intern
- Incoming Summer Software Engineer Intern in Automation.
AI for Impact Club
AI/ML Engineer
- Worked with student-led research team on prototyping Machine Learning Models for social impact.
Vosyn
Backend Developer Intern
- Designed and developed production-grade REST APIs using Python Django Backend Framework.
- Directly collaborated with Frontend Developers to build end to end features within a Agile team.