Nisha Muktewar
Machine Learning Engineer at SafeGraph
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolNisha Muktewar is a Senior Machine Learning Engineer in Palo Alto with 9 years of experience building production-grade data and ML systems, specializing in geospatial pipelines, operational ML, and modern agent frameworks. She owns end-to-end lifecycles from data ingestion and distributed processing to model development, deployment, and monitoring, and has a track record of turning advanced research into practical solutions for personalization, anomaly detection, and robust models trained from sparse labels. Previously she bridged academic ML and enterprise needs as a Principal Research Engineer at Cloudera, advising clients on causality, few-shot learning, and explainability, and earlier drove predictive modeling work in insurance, fraud, and demand forecasting at Deloitte. Comfortable in both hands-on engineering and client-facing research translation, she combines deep technical rigor with operational instincts that keep models reliable at scale. A subtle strength is her focus on generalizability—designing models and pipelines that remain robust when labeled data is scarce or conditions shift.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering, Computer Science, Bachelor of Engineering, Computer Science at Pune Institute of Computer Technology
Github Skills (54)
alpaca10
falcon10
transformers9
keras-tensorflow9
pytorch9
bloom9
llamacpp9
gpu9
keras9
bigdl8
python8
analytics-zoo8
inference8
machine-learning8
llm8
Programming languages (6)
Github contributions (5)
fastforwardlabs/causal-experiments
Feb 2020 - Jun 2020
Messing with causality.
Contributions:49 commits, 3 PRs, 47 pushes in 3 months
causality
nishamuktewar/binary_positive_unlabeled
Feb 2018 - Feb 2018
Contributions:14 commits, 13 pushes, 1 branch in 2 days
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