Subodh Kanoujiya

AI/ML engineer graduate June 2026 with hands-on experience building CNN and U-Net deep learning models for satellite imagery analysis, object detection, and computer vision systems. Proficient in Python, TensorFlow, and PyTorch, with a track record of delivering end-to-end ML pipelines from geospatial data preprocessing through model evaluation.

Artificial Intelligence & Machine Learning Intern - Remote Sensing Application Centre, UP - Remote

(2025-06 - 2025-07)

• Developed and trained CNN and U-Net models for building extraction and object detection from satellite imagery.
• Built end-to-end ML pipelines using Python, TensorFlow, PyTorch, Rasterio, and GDAL, covering geospatial data preprocessing (tiling, normalization, label preparation) through evaluation.
• Benchmarked deep learning performance against classical ML models; evaluated results using precision, recall, F1-score, and IoU metrics.
• Enhanced model accuracy through advanced feature engineering and algorithm optimization techniques.

AI/ML Research Intern - Overload Ware Labs AI - Remote

(2025-11)

• Conducted research and compiled data to support timely project reporting and presentations.

Python Development Intern - Future Intern - Remote

(2024-08 - 2024-09)

• Supported program management by building progress-tracking reports against key project objectives.
• Contributed to grant writing efforts that helped secure project funding.

B.Tech - Artificial Intelligence - University of Lucknow (2026-06)