About
Computer Science undergraduate with hands-on experience in Java, Python, machine learning, deep learning, and data structures & algorithms. Has built AI-driven applications involving computer vision, object detection, backend APIs, and interactive dashboards.
Experience
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AI-ML Virtual InternshipEduSkillsOct 2024 – Dec 2024
Performed data preprocessing and model training using Python-based ML algorithms; gained practical experience in supervised learning and model evaluation.
Education
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B.TechComputer Science · Oct 2023 – Jul 2027
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Senior SecondarySainik School PuruliaScience · Mar 2021 – Mar 2022
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MatriculationSainik School PuruliaApr 2019 – Apr 2020
Skills
Tools / apps / platforms
Languages
Projects
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Python, YOLOv8, OpenCV, NumPy, FastAPI, React 18, Vite, Docker, Pytest
AI surveillance platform integrating YOLOv8 detection, centroid multi-object tracking, dynamic geofencing, threat risk scoring, live MJPEG video streaming, radar visualization, incident reporting, asynchronous APIs, audit logging, Docker deployment, and Pytest testing.
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React.js, JavaScript, Machine Learning, npm, Git/GitHub
ML-based loan approval prediction system with an interactive web interface for real-time eligibility prediction, fairness-aware analysis, and responsive result presentation.
🏆 Achievements & awards
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1st Place, “Model, Not Code: Designing Intelligent Solutions 2026” · 2026
Recognized for developing an AI-based solution focused on ethics, bias, and responsible AI.
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Smart India Hackathon · 2025
Developed an AI-based fitness and posture improvement solution.
⚽ Extracurricular activities
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Basketball East Zone Runner-Up
Basketball runner-up achievement; also participated in athletics including high jump, broad jump, and hurdles.