Parth Bomanwar

Final-year B.Tech Computer Science and Engineering student with strong foundations in programming, OOP, data structures, databases, Salesforce, cybersecurity, and AI/ML. Quick learner with strong analytical and problem-solving skills, seeking opportunities to apply technical knowledge in real-world industry environments and grow through continuous learning.

Project Intern at Maharashtra Remote Sensing Application Centre (MRSAC) (2026-01 – 2026-05)

• Built deep learning satellite image change detection model on 500+ LEVIR-CD image pairs; achieved IoU ˜0.55 via hyperparameter tuning.
• Key Skills: Remote Sensing, Deep Learning, Python, QGIS, Geospatial Analysis

AI Intern at Shell–Edunet–AICTE (2025-06 – 2025-07)

• Trained 10-class E-Waste classifier (EfficientNetV2B0) on ˜9,000 images; achieved ˜93% validation accuracy with augmentation & transfer learning. Presented results to industry experts.
• Key Skills: EfficientNet, TensorFlow, Transfer Learning, Data Augmentation, Model Evaluation

AI Intern at Intel Unnati Industrial Training (2024-05 – 2024-07)

• Developed real-time vehicle cut-in detection: ˜90% accuracy at ˜22 FPS on ˜4,000 annotated frames using OpenCV and deep learning.
• Key Skills: Computer Vision, OpenCV, Python, Object Detection, Model Training & Tuning

B.Tech in Computer Science and Engineering (Cybersecurity) – St. Vincent Pallotti College of Engineering and Technology, Nagpur (2022 – 2026)