Bikas Katwal

Staff Engineer (ICT5) - Applied Machine Learning at Apple

Bengaluru, Karnataka, India
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Summary

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Senior
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Bikas Katwal is a Staff Engineer in Applied Machine Learning based in Bengaluru with nine years of hands-on experience building high-performance, explainable search and information retrieval systems. He has driven large migrations and real-time indexing pipelines at scale—from Endeca to Solr at Walmart to federated search and query understanding services at Postman—and now leads applied ML search efforts at Apple. His strengths span search engineering, ML for relevance, distributed systems, and pragmatic production reliability (circuit breakers, SonarQube, schema redesigns). Bikas pairs model-driven improvements (NER, spell correction, query understanding) with infrastructure work to make search both accurate and trustworthy. He has a practical track record of turning research ideas into production features that measurably improve relevance and observability. A former physics tutor turned engineer, he brings analytical rigor and a bias for reliable, explainable systems.
code9 years of coding experience
job7 years of employment as a software developer
bookB. Tech., Computer Science, B. Tech., Computer Science at Jawaharlal Nehru Technological University, Kakinada
bookKendriya Vidyalaya Sangathan
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Stackoverflow

Stats
1,955reputation
372kreached
53answers
55questions
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Github Skills (64)

reinforcement-learning10
json-simple10
backbone10
optimization10
data-science9
parallel9
pytorch9
java9
scaling9
sink9
python9
llm9
large-language-models9
machine-learning9
spring-boot9

Programming languages (4)

TypeScriptJavaRubyPython

Github contributions (5)

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Contributions:43 commits, 27 pushes in 2 months
bkatwal/zookeeper-demo

Mar 2019 - Dec 2022

Sample Distributed system created using spring boot app server and zookeeper as backbone
Contributions:12 commits, 18 pushes, 1 branch in 3 years 9 months
spring-bootzookeeperserver-appbackbonedistributed-system
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Bikas Katwal - Staff Engineer (ICT5) - Applied Machine Learning at Apple