I enjoy building machine learning systems that actually ship, especially where climate and geospatial data meet real users.
Currently working full-time at FortyGuard, an Abu Dhabi-based climate tech startup, where we predict street-level temperatures and build intelligence dashboards.

• Languages & ML: Python, PyTorch, TensorFlow, Scikit-learn
• Data & Cloud: SQL, NoSQL, Azure, AWS, Docker, Kubernetes
• Other Tools: Airflow, Spark, Kafka, FastAPI, Angular, React

• Urban Data Center Site and Risk Assessment Platform Comprehensive web application for evaluating optimal data center locations using NASA Earth Observation data, urban demographics, and infrastructure analysis. Features interactive mapping, multi-factor risk assessment, automated scoring, and professional reporting capabilities.
• AlphaEarth Climate Intelligence Dashboard
  A production-ready temperature and climate intelligence dashboard that leverages DeepMind's AlphaEarth Foundations model for advanced geospatial analysis.
• Fraudulent Transaction Detection System
  A comprehensive machine learning system for detecting fraudulent financial transactions, optimized for high precision in risk-sensitive environments..
• Legal Document Analyzer Assistant
  An advanced AI-powered system for analyzing legal documents using Retrieval-Augmented Generation (RAG) with state-of-the-art language models and vector search capabilities.

(More coming soon — see Repositories)

• Machine Learning, Generative AI, Geospatial Modeling
• Climate Informatics & Large-Scale Forecasting Systems
• Diffusion Models and Foundation Models in AI

• See my porfolio at: aashanjaved.com
• LinkedIn
• GitHub
• Reach out to me on email: aashanjaved.cs@gmail.com