I am a graduate student in Data Science, Analytics and Engineering at Arizona State University with a strong focus on building reliable software systems and applied machine learning solutions.

My work sits at the intersection of software engineering, data engineering, and applied ML, with hands-on experience across full-stack development, cloud deployment, and geospatial analysis.

• Master’s student in Data Science, Analytics and Engineering at Arizona State University
• Former Software Development Engineer Intern at Sentari AI
• Background in full-stack development, data pipelines, and applied machine learning
• Experience working with production systems, real-world datasets, and research-driven projects

I enjoy working on problems that require clean engineering, strong data foundations, and practical use of machine learning at scale.

• Built and maintained backend services using Python, Flask, and FastAPI
• Developed mobile and web interfaces using React and React Native
• Worked with Supabase for authentication, session management, and data workflows
• Containerized applications using Docker and deployed on AWS EC2 and ECS
• Implemented CI/CD pipelines using GitHub Actions

• Developed and evaluated models using scikit-learn, TensorFlow, and PyTorch
• Worked on image segmentation, recommendation systems, and applied optimisation problems
• Designed data preprocessing and feature engineering pipelines using Pandas, NumPy, and Spark
• Built analytics workflows and dashboards to support data-driven decision making

• Processed satellite imagery using rasterio, OpenCV, and Google Earth Engine
• Built land use and land cover segmentation models using U-Net architectures
• Worked with Sentinel-2 imagery and Dynamic World datasets for environmental analysis

• Advanced deep learning architectures such as ResUNet and feature pyramid networks
• Differentiable programming and JAX
• Machine learning applications in remote sensing and environmental monitoring

Neo4j, Git, Jupyter Notebooks, Tableau, ArcGIS Pro, Google Earth Engine, AWS

• LinkedIn: https://www.linkedin.com/in/jalpatel11
• GitHub: https://github.com/jalpatel11

Feel free to reach out for collaboration, research discussions, or engineering opportunities.