Atma Mani
Staff Software Engineer at Station A
Los Angeles Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolAtma Mani is a Staff Software Engineer with 11+ years building cloud-native geospatial and data engineering platforms, currently focused on resilient spatial data pipelines for weather-driven energy forecasting. He has led architecture and optimization efforts at Amperon and One Concern, routinely cutting storage and compute costs by an order of magnitude while scaling workflows to billions of spatial records. At Esri he helped create and productize the ArcGIS Python API, marrying deep API design and Python data ecosystem expertise with product management and developer evangelism. His work spans ETL, MLOps, and serving layers—shipping model training pipelines (including TensorFlow Lite exports), scalable mapping APIs, and novel spatial indexing schemes that enable massive parallelism. Based in Los Angeles, he blends hands-on engineering with cross-functional leadership and a research background in thermal and remote sensing that informs pragmatic solutions for complex spatial problems.
11 years of coding experience
18 years of employment as a software developer
MA Geography, MA Geography at University of Northern IowaBE GeoInformatics, BE GeoInformatics at College of Engineering Guindy, Anna University
Stackoverflow
1reputation
0reached
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Github Skills (7)
pandas10
machine-learning10
mlops10
tensorflow10
python10
modeling9
trainings9
Programming languages (5)
Github contributions (5)
Esri/arcgis-python-api
Aug 2016 - Apr 2022
Documentation and samples for ArcGIS API for Python
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:12 releases, 164 reviews, 761 commits in 5 years 8 months
Contributions summary:Atma primarily focused on back-end development, contributing to the model training pipeline, including data preprocessing and model saving. The commits show work on exporting models to a mobile-ready format using TensorFlow Lite, indicating an involvement in MLOps. They were also involved in integrating the model's predictions with features and rasters.
apiarcgispythonjupyterlab-extensiondata-science
AtmaMani/argo-playground
Aug 2022 - Mar 2023
Contributions:4 commits, 2 pushes, 1 branch in 7 months
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