Zaid Mohiuddin

I am a Computer Science Engineering student and AI/ML builder focused on translating applied machine learning and agentic systems into reliable software solutions. My engineering work centers on computer vision, predictive modeling, and scalable full-stack architectures. Key Technical Projects & Highlights: SYNAPSE AI: Developed a bio-adaptive cognitive operating system using MediaPipe FaceMesh biometric tracking and Gemini models to dynamically adapt learning delivery in real time. Awarded a track win at SummerSaaS (BITS Pilani Hyderabad) and showcased at GDG DevArena and the Adsophos CSE Expo. Bharat Cast (SIH 2026): Architected a multi-model predictive weather forecasting pipeline utilizing XGBoost and geospatial data tools. FairLens: Built an automated dataset bias audit and mitigation platform with visual impact reporting for the Google Solution Challenge. Competitive Record: Top 100 global finalist out of 2,600+ teams at HACKHAZARDS '26. Technical Competencies: Languages & Core: Python, C, JavaScript AI & Data: Gemini API, MediaPipe, OpenCV, Scikit-learn, XGBoost, Agentic AI Architectures Full-Stack & Backend: Next.js, React, FastAPI, Tailwind CSS, Supabase, PostgreSQL, Git Alongside development, I serve as Chief Representative of the Orators Club at MJCET, driving technical event operations and communications. Open to opportunities in software engineering, AI/ML development, and high-impact collaborative projects.