Swapnesh Khare

Staff ML Engineer at Aplazo

Bengaluru, Karnataka, India
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Summary

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Senior
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Top School
Swapnesh Khare is a Staff ML Engineer with 12 years of experience building and operationalizing machine learning systems across finance, insurance, and commodities. He specializes in end-to-end ML platforms—migrating realtime APIs to GKE, deploying 40+ DS workloads, and serving 45+ deep learning models via Triton to achieve significant GPU cost savings. Swapnesh has led data platform initiatives (feature store with Feast, inference and request stores, Pub/Sub/Kafka pipelines, Medallion data tiering) and driven >60% cost reductions through engineering and storage optimizations. Comfortable across data engineering, model optimization (TensorRT, HuggingFace Whisper), and infra (Airflow, Starrocks, Trino), he prefers the title ML Engineer because he blends infrastructure, deployment, and product-focused modeling. Based in Gurugram, he’s known for pragmatic automation—e.g., converting Detectron2 to TensorRT and building an ML Gateway—that turns experimental models into reliable production services.
code12 years of coding experience
job8 years of employment as a software developer
bookHigh School, High School at St. Fidelis College
bookMachine Learning Basic Nanodegree Machine Learning, Machine Learning Basic Nanodegree Machine Learning at Udacity
bookBachelor’s Degree Information and Communication Technology, Bachelor’s Degree Information and Communication Technology at Dhirubhai Ambani University
languagesEnglish, Hindi
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Stackoverflow

Stats
109reputation
9kreached
12answers
12questions
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Github Skills (176)

xgboost10
python10
kubeflow10
standardized10
hpa10
sklearn10
automation10
mlops10
istio10
serverless10
k8s10
nvidia-docker10
scheduler10
llm-inference10
realtime-database10

Programming languages (8)

TypeScriptJavaRustJavaScriptGoLuaHTMLPython

Github contributions (5)

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swapkh91/OMDb-search

Aug 2015 - May 2017

Contributions:4 pushes, 1 branch in 1 year 8 months
swapkh91/airflow

Apr 2022 - May 2022

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Contributions:10 pushes in 9 days
monitorapacheprogrammaticallyapache-airflowairflow
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Swapnesh Khare - Staff ML Engineer at Aplazo