qkrig - Streamflow Kriging
A geostatistical framework for spatial interpolation of USGS streamflow data across the U.S. Computes variograms, ordinary kriging, and error-variance maps from real-time gauge observations.
- Python
- PyKrige
- Cartopy
- USGS API
I am a Software Engineer transitioning my extensive background in enterprise software engineering, Salesforce development, and secure API integration toward the field of Artificial Intelligence and Machine Learning.
Now, as I pursue my Master's in Computer Science at The University of Alabama focusing on AI, machine learning, and intelligent automation. I combine this deep, practical software development experience with a passion for leveraging data-driven models to build self-learning, adaptive systems.
I'm a Master's student in Computer Science and a seasoned Software Engineer specializing in Cloud-Native Solutions and Distributed Systems. My experience at companies like American Express and Deloitte involves designing fault-tolerant API integrations (JWT Auth), implementing scalable, event-driven backends (Python, AWS), and building robust platforms on Salesforce/Apex. I am driven by hard work and the pursuit of innovative projects that live on the internet.
Here are a few technologies I've been working with recently:
A geostatistical framework for spatial interpolation of USGS streamflow data across the U.S. Computes variograms, ordinary kriging, and error-variance maps from real-time gauge observations.
An iOS app that lets you scan product barcodes for an instant health score (0–100) based on Nutri-Score 2023, with on-device AI insights, recipe browsing, grocery lists, and full offline caching.
Appointment Scheduler & Manager application for organizing doctor-patient schedules efficiently. Features include scheduling, managing delays, and priority appointments.
I am currently looking for new opportunities. Whether you have a question or just want to say hi, my inbox is always open. I'll try my best to get back to you!
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