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shantanu = {
"role" : "CS Engineering Student @ Pimpri Chinchwad University (GPA: 8.7)",
"location" : "Pune, India 🇮🇳",
"domains" : ["Robotics & Embedded", "Data Science & ML", "DevOps & Cloud", "Web Dev"],
"current" : "Firefighting UGV + IEEE paper | B.Tech graduating Apr 2026",
"internship" : "Data Science Intern @ India Meteorological Department (92% lightning prediction accuracy)",
"achievement": "SIH 2025 Finalist — Top 1000 out of 160,000 teams nationwide 🏆",
"philosophy" : "I think I can do anything — as long as I've got motivation ⚡",
}|
National Institutes of Technology, Durgapur |
Target: OTCON 5.0 (IEEE Xplore-indexed) |
Jun 2025 – Sep 2025 | Pune, Maharashtra
- Engineered an ML pipeline improving daily lightning prediction accuracy by 92% across India using ECMWF & NCEP reanalysis datasets (2019–2022)
- Automated processing of 120M+ lightning and weather records via Parquet workflows, spatial filtering, and 0.5°×0.5° grid aggregation
- Created 20+ meteorological & temporal features (temperature, humidity, wind components, geopotential height) for model enrichment
- Developed & validated XGBoost and Logistic Regression models with robust probabilistic forecasts and strong spatial coherence
- Built interactive Folium heatmaps visualizing high-risk lightning zones alongside actual strike data
Nov 2025 – Mar 2026
An unmanned ground vehicle that navigates autonomously, detects fire using AI, and extinguishes it — secured with quantum cryptography.
┌──────────────────────────────────────────────────────────────────────┐
│ SYSTEM ARCHITECTURE │
│ │
│ [YDLIDAR X2L] ──► SLAM Navigation ──► ROS2 Humble (Ubuntu 22.04) │
│ [USB Webcam] ──► MobileNet SSD TFLite Fire Detection │
│ [ESP32] ──► BTS7960 Motor Drivers ──► Tank Drive │
│ [Raspberry Pi 3B+/4] ──► Autonomous Controller (Python) │
│ [BB84 QKD Sim] ──► DTLS 1.3 AES-256-GCM Encrypted Video Stream │
└──────────────────────────────────────────────────────────────────────┘
State Machine: IDLE → EXPLORING → CORNER_CHECK → TRACKING → EXTINGUISHING → EXPLORING
ROS2 Python TFLite OpenCV Raspberry Pi ESP32 SLAM micro-ROS SROS2 DTLS 1.3
Jun 2025 – Aug 2025
- Built automated GRIB-to-Parquet pipelines for ECMWF TIGGE & NCEP datasets
- Trained XGBoost & Logistic Regression models for probabilistic lightning forecasting with spatial accuracy
- Deployed interactive Folium heatmaps for real-time high-risk zone visualization
Python XGBoost Pandas Folium Parquet Geospatial ML ECMWF/NCEP
Nov 2025 – Dec 2025
- Secure, scalable digital health records for migrant workers — Top 1000/160,000 teams at SIH 2025
- Features: dual-consent access control, role-based panels, teleconsultation (Google Meet), digital prescriptions, multilingual UI
- Deployed with Firebase backend & React frontend
TypeScript React Node.js Firebase HealthTech UI/UX
- Tank-drive RC car controlled via a browser-based web app
- AP fallback mode for hotspot-free environments
- Load capacity validated for 4× 100RPM geared DC motors
ESP32 BTS7960 WebServer C++ PWM
- ESP32-based mini drone with MPU6050 gyro stabilization
- 720 coreless DC motors on a 3D-printed chassis
- Built on ESP-Drone firmware (Espressif)
ESP32 MPU6050 C++ 3D Printing PID Control
| Certificate | Issuer | Year |
|---|---|---|
| AWS Academy Cloud Architecting | AWS Academy | 2024 |
| AWS Academy Cloud Foundations | AWS Academy | 2024 |
| DevOps and Software Engineering | IBM | 2025 |
| Data Visualization with Tableau | UC Davis / Coursera | 2025 |
| Data Visualization & Dashboarding with R | Johns Hopkins / Coursera | 2025 |
| AI/ML Virtual Internship | 2024 |
English (Professional) | Hindi (Native) | Marathi (Native)
[ robots don't sleep — neither do their builders ]
Built with stubbornness, caffeine, and an unreasonable belief that it'll work this time.