About Mohammed Salman Thuraab
I am a Graduate Student in Data Science at the University of Houston-Clear Lake (CGPA: 3.89/4), where I also serve as a Graduate Teaching Assistant in the Computing Science Department. I hold a B.Tech in Artificial Intelligence and Machine Learning from CVR College of Engineering. My work spans machine learning, open-source AI tooling, and applied software development, with a focus on building practical systems that bridge research and real-world use.
My interests include machine learning, natural language processing, intelligent agent systems, and computational biology. I am particularly drawn to projects where data-driven methods solve meaningful problems — whether in healthcare, education, or developer tooling.
In addition to my studies, I am committed to knowledge sharing through mentoring, teaching, and my YouTube channel where I teach machine learning and data science concepts to a broader audience.
Research Interests
- Machine learning and predictive modeling
- Natural language processing
- Intelligent agent systems and AI interoperability
- Computational biology and bioinformatics
News
- January 2026: Joined the Computing Science Department at UHCL as a Graduate Teaching Assistant, supporting courses in Computer Security and Computer Organization & Assembly Language.
- October 2025: Began contributing to UTCP (Universal Tool Calling Protocol), an open-source project extending the Model Context Protocol — contributed 3,000+ lines of code covering socket communication, GraphQL integration, and embedding-based search.
- October 2025: Started as App Developer (Student Assistant) at UHCL Parking & Transportation, independently building a mobile shuttle tracking application with GPS, route browsing, and driver-passenger communication.
- July 2025: Enrolled in the Master’s in Data Science program at the University of Houston-Clear Lake.
- 2025: Published research paper in IEEE — NLP-Driven Strategies for Effective Email Spam Detection: A Performance Evaluation.
- 2025: Launched QuickLearn+AI, a Chrome extension with AI-powered YouTube productivity features, earning 5-star user reviews.
Projects
- UTCP — Universal Tool Calling Protocol — Core contributor to an open-source protocol designed to make any API callable by AI agents with the same security and no additional infrastructure.
- QuickLearn+AI — A Chrome extension integrating Gemini 2.0 AI for YouTube productivity, with content filtering and distraction-free mode.
- IELTSay-AI — An AI IELTS writing tutor that predicts band scores, provides detailed feedback, and generates Band 8–9 model essays.
- Healthcare Analyser — An interactive Streamlit dashboard for heart disease data visualization and risk prediction using Python, Pandas, and Seaborn.
- Movie Recommendation System — Genre-based movie recommendation engine built in Python.
Students
I welcome collaboration with fellow students on machine learning, AI systems, and applied data science projects. This section will be updated as projects and mentoring activities develop.