Falguni Jhaveri - Engineering at Uber

Falguni Jhaveri

Engineering at Uber

San Jose, California, United States

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Summary

🤩

Rockstar

🎓

Top School

Falguni Jhaveri is a seasoned backend engineer with 7 years of experience building high-throughput, production ML and media infrastructure for companies like Netflix, NVIDIA, and now Uber. She has driven scalable online inference and personalization systems supporting millions of users, plus studio and messaging platforms that improved onboarding and internal workflows across dozens of apps. Her work spans Java, Python, GRPC, Kafka, Apache Flink, and NoSQL, and she has hands-on experience productizing models, optimizing latency/throughput, and building SDKs and CLIs for ML workflows. An active contributor to Netflix/conductor, she has improved backend resilience by refactoring service layers and strengthening exception handling in a widely used orchestration engine. Based in San Jose, she combines deep distributed-systems know-how with a pragmatic focus on operability and cross-functional collaboration.

7 years of coding experience

11 years of employment as a software developer

MS Computer Science, MS Computer Science at The University of Texas at Dallas

University of California Santa Cruz

Bachelor of Engineering Computer Science, Bachelor of Engineering Computer Science at Veer Narmad South Gujarat University

English

Github Skills (16)

javas10

api-rest10

rest-api10

workflow-automation10

api10

exception-handling10

back-end-development10

apidoc10

api-design10

java10

restful-api10

spring-boot10

microservices-application9

microservices9

orchestration8

Programming languages (1)

Java

Github contributions (5)

Netflix/conductor

Aug 2018 - Aug 2019

Conductor is a microservices orchestration engine.

Role in this project:

Back-end Developer

Contributions:3 releases, 77 commits, 23 PRs in 1 year

Contributions summary:Falguni primarily focused on improving exception handling and error mapping within the `netflix/conductor` repository. Their work involved modifying and improving exception mapping within the `ExceptionMapper` class, indicating a focus on the back-end logic. The commits also show the refactoring of the `WorkflowResource` by moving business logic to the service layer and the `TaskResource`, indicating improvements to the API's architecture. These changes suggest an effort to improve the resilience, and maintainability of the backend.

spring-bootconductororchestrationworkflow-enginegrpc

naveendevelops/conductor

Sep 2018 - Jan 2019

Conductor is a microservices orchestration engine - https://netflix.github.io/conductor/

Contributions:10 commits in 4 months

netflixconductororchestrationorchestration-enginemicroservices

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