Rohit Shinde

Built a modular GeoAI platform integrating 14 ML/DL change detection models with a unified training, evaluation, and experiment management pipeline. Developed a reproducible benchmarking framework with spatial data splitting, multi-seed experiments, statistical validation, explainability, and automated reporting. Implemented end-to-end scientific validation and root-cause analysis, including model fidelity audits, fairness checks, calibration, optimization diagnostics, and publication-ready benchmark reports.

AI/ML Research Intern - Experiqs Pvt. Ltd., IIT Bombay

(2026-05)

• Built a modular GeoAI platform integrating 14 ML/DL change detection models with a unified training, evaluation, and experiment management pipeline.
• Developed a reproducible benchmarking framework with spatial data splitting, multi-seed experiments, statistical validation, explainability, and automated reporting.
• Implemented end-to-end scientific validation and root-cause analysis, including model fidelity audits, fairness checks, calibration, optimization diagnostics, and publication-ready benchmark reports.

UAV Embedded Systems Engineer - Agravity Systems Pvt. Ltd., Gurgaon - Gurgaon

(2025-06 - 2025-08)

• Analyzed telemetry, GPS and sensor data from drone simulations to evaluate mission accuracy and obstacle avoidance.
• Built Python tools for automated log analysis, performance metric extraction and visualization, enabling data-driven optimization.

Data Analytics Intern - MedTourEasy, Gurgaon - Gurgaon

(2024-07 - 2024-08)

• Processed ingredient data for 1,472 products; built document-term matrix and applied t-SNE for clustering and dimensionality reduction.
• Built automated Python pipelines for NLP, data cleaning and interactive visualization (Bokeh, Matplotlib).

M.Tech - Aerospace Engineering - Indian Institute of Technology, Kanpur (2025)

Graduation - P.C.E., Nagpur (2022)