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Sujal Makwana

@sujalmakwana

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AI and ML student at IIIT Vadodara who built FrostGuard AI to monitor medical cargo and flag temperature anomalies.

India

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At the AI Symposium Hackathon 2026, I served as Tech Lead Architect for FrostGuard AI, a cold chain monitoring system tracking medical cargo trucks in real time. I implemented Isolation Forest to flag thermal anomalies within seconds and a KNN-based model to reroute at-risk shipments to cold-storage nodes.

For FrostGuard AI, I developed a dual-model pipeline combining Isolation Forest and HistGradientBoosting to forecast temperature trajectories, alongside a FastAPI/Flask backend for IoT telemetry. I also designed a geospatial dashboard with PyDeck and Streamlit.

I’ve also built dashboards for real estate sales, F1 performance, and international trade analysis. I’m studying Artificial Intelligence & Machine Learning at IIIT Vadodara, with experience using Python, Scikit-Learn, and Streamlit.

Experience

Work history, roles, and key accomplishments

Tech Lead Architect

AI Symposium Hackathon 2026

Delivered a production-ready cold chain monitoring system covering 13+ medical cargo trucks by building FrostGuard AI with real-time Streamlit updates. Cut thermal-breach detection time by flagging anomalies within seconds of occurrence, by implementing Isolation Forest on live telemetry streams.

Python Streamlit Isolation Forest K Nearest Neighbors (KNN)fastAPI Flask REST API Design Git Github Linux Command Line VSCode Supabase

Education

Degrees, certifications, and relevant coursework

Indian Institute of Information Technology Vadodara

Bachelor of Science, Artificial Intelligence & Machine Learning

2026 -

Pursuing a Bachelor of Science in Artificial Intelligence and Machine Learning, with coursework in machine learning pipelines, applied data science, and technical system architecture.