Ivan Zvonkov
Machine Learning Engineer at NASA Harvest
Ontario, Canada
Summary
👤
Senior🎓
Top SchoolIvan Zvonkov is a Machine Learning Engineer with nine years of experience building production ML systems and data pipelines, currently deploying geospatial foundation models and large-scale Earth Observation embeddings at NASA Harvest. He combines deep engineering skills in Python and PyTorch with cloud-native deployment on Google Cloud and Vertex AI, and has automated end-to-end workflows from labeled-data generation to cropland area assessment. Past roles include improving document classification and inference performance at TradeSun and delivering full-stack automation work at IBM, evidencing a strong blend of model, infrastructure, and product thinking. He also runs capacity-building workshops and created an agricultural dataset from millions of roadside photos in Kenya, showing a practical focus on operationalizing ML for real-world impact.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Western UniversityMaster's degree, Computer Science, Master's degree, Computer Science at University of Maryland
English, Russian
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (100)
high-resolution10
rapid10
observation10
earth-observation10
machine-learning10
earth10
sequential10
robotics9
harvest9
change-detection9
hyperparameter-tuning9
computer-vision9
image-processing9
benchmark9
datasets9
Programming languages (5)
Github contributions (5)
nasaharvest/crop-mask
Dec 2020 - Jan 2023
End-to-end workflow for generating high resolution cropland maps
Contributions:197 reviews, 1462 commits, 137 PRs in 2 years 1 month
workflowresolutionend-to-endhigh-resolution
nasaharvest/nasaharvest.github.io
Jun 2022 - Jun 2024
Github-hosted website for information about Harvest projects
Contributions:4 reviews, 7 PRs, 38 pushes in 1 year 11 months
hostedharvest
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