Hemant Kashniyal
Engineer at Chiron
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolHemant Kashniyal is an engineer with 11 years of experience building high-performance distributed systems, stream processing platforms, and MLOps infrastructure. He began his career in systems engineering at IBM Storage Lab writing C for storage controllers and has since led backend and AI-ML platform efforts at Jio and product engineering at startups like Civil Maps and Mangstor. Recently he built RAG chat applications and a high-capacity WebRTC media delivery platform at Fluxon and now focuses on a stream-first observability platform at Chiron. Hemant contributes to notable open-source MLOps work—updating protobuf schemas in the widely used Seldon Core—reflecting hands-on expertise in model serving and protocol design. He blends low-level systems optimization with modern ML deployment patterns across Go, C/C++, Python and NodeJS, and has a knack for turning storage and sensor-processing lessons into robust, production-grade streaming architectures. Based in Hyderabad, he enjoys tackling cross-domain problems that sit at the intersection of streaming, media, and model inference.
11 years of coding experience
14 years of employment as a software developer
Information Systems, Information Systems at Netaji Subhas Institute of Technology
English, Hindi
Stackoverflow
33reputation
3kreached
1answer
1question
Github Skills (15)
kubernetes10
machine-learning10
protobuffer10
protobuf10
kubernetes-pods10
deploying9
go9
serve8
faust6
cqlengine6
cassandra6
python6
protocol-buffers6
datastax-python-driver6
kafka-python6
Programming languages (5)
Github contributions (5)
SeldonIO/seldon-core
Dec 2019 - Sep 2020
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Role in this project:
MLOps Engineer
MLOps EngineerContributions:2 reviews, 17 commits, 3 PRs in 8 months
Contributions summary:Hemant's commits primarily focus on updating and modifying protobuf definitions and related dependencies within the `seldonio/seldon-core` repository. The changes suggest a focus on adapting protobuf specifications, potentially for model serving or data exchange within the MLOps framework. The commits also include adjustments to include protobuf files, which is fundamental to the project's core function of serving and managing machine learning models. These updates are indicative of a role focused on building and maintaining the MLOps infrastructure.
monitorservingdata-sciencedeploymentmachine-learning
hemantkashniyal/EVA4
Jan 2020 - Mar 2020
Contributions:55 pushes in 1 month
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