Rishi Jumani
Machine Learning Engineer at Startup
Washington DC-Baltimore Area United States
Summary
👤
Senior🎓
Top SchoolRishi Jumani is a Machine Learning Engineer with 8 years of experience applying numerical analysis and scientific computing to real-world problems across biomedical, retail, petroleum and hydrology domains. He holds an MS in Mathematics (Numerical Analysis) and blends deep expertise in FEM/FVM/FDM, CFD, inverse and hydrological modeling with production ML—shipping GxP-compliant deep learning pipelines for computational pathology and scalable scientific ML systems in Python and Julia. Rishi has led ML teams to build large-scale, low-latency analytics and MLOps platforms using Spark, Kubernetes and cloud services, and has hands-on experience with parameter estimation, data assimilation and uncertainty quantification for complex physical models. Comfortable moving models from research to regulated deployment, he combines rigorous mathematical foundations with pragmatic engineering—an uncommon mix that enables both interpretable numerical modeling and robust, production-grade ML.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Mathematics (Numerical Analysis), Master of Science - MS Mathematics (Numerical Analysis) at New Mexico Institute of Mining and TechnologyMBA Finance, MBA Finance at Symbiosis Institute of Business Management, PuneB.E Mechanical Engineering, B.E Mechanical Engineering at Osmania University
Github Skills (31)
wsd9
tensorflow-probability9
causal9
histopathology8
wsi8
netcdf8
r-package7
dask7
intervention7
python7
iterator7
streamlit6
deep-learning6
action-recognition6
machine-learning6
Programming languages (2)
Github contributions (5)
rj678/pycausalmatch
Apr 2021 - Sep 2022
Causal Impact of an intervention integrated with control group selection
Contributions:2 releases, 1 review, 16 commits in 1 year 5 months
group-selectionintegratedcausalinterventionselection
rj678/rj678
May 2022 - Feb 2024
Contributions:2 pushes, 1 branch in 1 year 9 months
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