Machine Learning Engineer with a focus on building AI-powered solutions for environmental sustainability and social impact. Currently working on ecosystem restoration and climate technology projects.
Core Competencies:
- Environmental AI and climate technology solutions
- Machine learning system design and deployment
- Time-series forecasting and multi-objective optimization
- Geospatial analysis and environmental data science
- Open-source contribution to sustainability projects
AI-Powered Ecosystem Health Monitoring and Restoration Planning for Delhi, India
A comprehensive end-to-end machine learning platform that combines real-time environmental monitoring with AI-driven restoration scenario optimization. The system processes multi-source environmental data to provide actionable insights for ecosystem restoration planning.
Technical Achievements:
- Developed 5 production ML models with XGBoost achieving 99.75% accuracy (R² = 0.9975, RMSE = 2.21 µg/m³)
- Built interactive real-time dashboard using React and FastAPI architecture
- Processed and analyzed 18 datasets totaling 16,222 environmental records
- Engineered 89 features through advanced time-series analysis techniques
- Identified potential for 33% PM2.5 reduction through optimized intervention strategies
- Deployed production-ready REST API with 8 endpoints for real-time predictions
Technology Stack: Python, React, FastAPI, XGBoost, TensorFlow, Prophet, LSTM Networks, Tailwind CSS,
Data Sources: Based on IPCC AR6 framework utilizing NASA POWER API, World Bank data, and data from data.gov.in
Project Links:
Model Performance:
- Achieved 99.75% prediction accuracy in ecosystem health modeling
- Developed production-grade XGBoost model with RMSE of 2.21 µg/m³
Data Engineering:
- Processed and analyzed 16,000+ environmental data records
- Integrated multiple data sources including NASA POWER API and World Bank datasets
Algorithm Development:
- Implemented 100+ optimized restoration scenarios using NSGA-II multi-objective optimization
- Developed custom feature engineering pipeline generating 89 predictive features
System Architecture:
- Designed and deployed full-stack ML platform with React frontend and FastAPI backend
- Built production-ready REST API handling real-time environmental predictions
Research Impact:
- Identified potential for 33% PM2.5 reduction through data-driven restoration planning
- Created framework based on IPCC AR6 climate assessment guidelines
Research Areas:
- Climate technology and environmental AI applications
- Geospatial machine learning for environmental monitoring
- Real-time data pipeline architecture for ecosystem health tracking
- Multi-objective optimization algorithms for sustainability planning
Professional Development:
- Advancing expertise in production ML system design
- Exploring edge computing for environmental sensor networks
- Contributing to open-source environmental and climate tech projects
Here are some of my active repositories. Click on any project to explore the code and documentation:
| Repository | Description | Last Updated |
|---|---|---|
| Ubuntu-AI-Agent | Intelligent AI-powered system management agent for Ubuntu desktop systems with automated issue detection and resolution capabilities. | Dec 12, 2025 |
| SIEM-Real-Time-Security | Real-time Security Information and Event Management (SIEM) system with comprehensive log analysis, threat detection, and security monitoring. | Dec 12, 2025 |
| Delhi-Ecosystem-Restoration-ML | Predictive ML models to guide ecosystem restoration efforts in Delhi by analyzing air quality, water quality, vegetation, biodiversity, and socio-economic data. | Dec 12, 2025 |
| Telangana-Water-Quality-Dashboard | Standalone geospatial visualization dashboard for monitoring water quality across 213 stations in Telangana state. | Dec 11, 2025 |
| India-Hydrological-Analysis-GEE | Python-based hydrological analysis leveraging Google Earth Engine's MERIT Hydro dataset to analyze India's river networks, watersheds, and drainage patterns. | Dec 6, 2025 |
| Hyderabad-Nature-Based-Solutions | Automates planning of green and blue infrastructure for Hyderabad using Nature-based Solutions (NbS). | Dec 4, 2025 |
| Carbon-Storage-Forest-Analysis | Geospatial platform for estimating, mapping, and analyzing carbon storage and sequestration potential in forest ecosystems. | Dec 3, 2025 |
| Urban-Heat-Island-India | Urban Heat Island monitoring and analysis system for 50 major Indian cities integrating meteorological, environmental, and urban form data. | Dec 2, 2025 |
View all my repositories: Repositories
Building AI solutions for environmental sustainability and climate action