I’m an MCA graduate who enjoys building AI-first applications, especially around LLMs, applied machine learning, and computer vision.
Most of my projects focus on experimenting with AI behavior, prompt design, and practical AI use cases.
Web technologies are used mainly as a lightweight interface to interact with AI systems.

• Generative AI and LLM-based systems
• Prompt engineering and behavior control
• Applied machine learning fundamentals
• Computer vision for real-world problems

• OpenAI APIs, LLaMA-based models
• Prompt engineering and conversational pipelines
• MERN stack (used mainly to support AI applications)

Linear Regression From Scratch
Implemented linear regression without ML libraries to understand optimization, cost functions, and model behavior.

Pothole Detection (Computer Vision)
A computer vision project for detecting potholes from road images, focusing on dataset handling and model evaluation.

Dungeon Master AI
An LLM-powered narrative system exploring controlled creativity and context handling.

Chat-PDF
An AI application that allows users to ask questions about PDF documents using natural language.

AI-FameTalk (Secondary)
A web-heavy project exploring LLM-powered virtual personalities and AI chat interfaces.

Master of Computer Applications (2023–2025)
Mar Thoma Institute of Information Technology, Kerala, India

• LinkedIn: https://www.linkedin.com/in/sabeer-h/
• GitHub: https://github.com/Sabeer65