Mayank Khanduja
Senior Data Scientist
New Delhi, Delhi, India
Summary
🤩
Rockstar🎓
Top SchoolMayank Khanduja is a Senior Data Scientist with 9 years of experience building and shipping computer vision, NLP/LLM and deep learning solutions from research prototyping to production on cloud and edge. At Esri he led end-to-end ML pipeline development for ArcGIS, integrating foundation models for time-series forecasting, adding deep learning capabilities to ArcGIS Pro/Enterprise, and contributing a Faster R-CNN airplane-detection notebook to the widely used arcgis-python-api. He has a strong engineering focus on model optimization and deployment—TensorRT/ONNX, SageMaker, NVIDIA Jetson—ensuring low-latency, scalable inference for real-world geospatial applications. Comfortable across MLOps, Docker/Kubernetes and model lifecycle tooling, he connects product, engineering and GIS domain needs to deliver pragmatic AI features. He also pursues adjacent technical breadth—training in quantum computing and IISc summer coursework—bringing curiosity and cross-disciplinary thinking to applied ML problems. Open to challenging roles that push edge and generative AI in productionized geospatial systems.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (B.Tech) Computer Science and Engineering, Bachelor of Technology (B.Tech) Computer Science and Engineering at SRM University Sonepat, HaryanaSummer School Computer Science and Automation, Summer School Computer Science and Automation at Indian Institute of Science (IISc)Quantum Computing, Quantum Computing at The Coding School
Github Skills (7)
satellite-imagery10
object-detection10
computer-vision10
jupyter-notebook10
machine-learning10
arcgis10
python10
Programming languages (3)
Github contributions (5)
Esri/arcgis-python-api
Jul 2020 - Jan 2023
Documentation and samples for ArcGIS API for Python
Role in this project:
Data Scientist
Data ScientistContributions:5 reviews, 31 commits, 10 PRs in 2 years 6 months
Contributions summary:Mayank added and edited a notebook demonstrating airplane detection on satellite imagery using deep learning. The user focused on the implementation of a FasterRCNN model for detecting airplanes. Furthermore, the user added information about the dataset and model inference in ArcGIS Pro.
apiarcgispythonjupyterlab-extensiondata-science
mayank2/arcgis-python-api
Jul 2020 - Dec 2020
Documentation and samples for ArcGIS API for Python
Contributions:15 pushes, 7 branches in 5 months
apipythonarcgisarcgis-apiesri
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