Overview
Work History
Education
Skills
Websites
Patent
Timeline
Generic

SAURABH KAKRAN

Bangalore

Overview

5
5
years of professional experience

Work History

Member of Technical Staff-4 (SDET-2)

Thoughtspot
Bangalore
02.2023 - Current
  • Architected a fullstack Retrieval Augmented Generation (RAG) platform that indexes embeddings from 10K+ Confluence, JIRA, and TestRail documents to answer natural language queries with 95% accuracy.
  • Designed and deployed a scalable Milvus vector database and PostgreSQL metadata store using containerized microservices, enabling high-throughput semantic search and reducing document discovery time by 60%.
  • Leveraged Azure OpenAI/GPT-4 APIs to autogenerate PRDs, test cases, and automation scripts—boosting engineering throughput by 40% and reducing manual effort.
  • Integrated real-time JIRA analysis pipelines over a virtualized environment with optimized network throughput, allowing dependency mapping and requirement validation, decreasing triage time by 30%.
  • Ensured efficient I/O with network-aware caching layers and decoupled storage interfaces, improving performance across cloud-based and on-prem hybrid infrastructure.Migrated 1,200+ E2E tests from Protractor to Playwright, reducing execution time by 30% and cutting storage overhead by 40% via JFrog artifact lifecycle optimization.
  • Validated 95% test coverage parity with the legacy framework using distributed runners over a virtualized CI/CD environment, ensuring smooth migration.
  • Enabled per-commit Playwright TIA pipeline with optimized test sharding and network-aware execution, increasing defect detection by 20% and reducing backend test runtime by 50% (4h 30m → 2h).
  • Refactored legacy Jenkins pipelines by integrating parallelism, layer-level caching, and storage-efficient logs, raising pipeline throughput by 25% and accelerating pull request merge velocity.

Software Engineer (SDET-1)

Amazon
Bangalore
07.2022 - 01.2023
  • Developed and tested AWS services within the ADFS (Amazon Distribution Fulfillment Solution) organization, focusing on efficient data transmission from distribution centers to product managers and other stakeholders.
  • Contributed to the development of a data processing pipeline leveraging AWS Lambda, S3, Kinesis, EventBridge, and SNS to ensure seamless data flow and real-time processing.
  • Implemented and maintained infrastructure as code (IaC) using AWS CloudFormation, enhancing deployment automation and infrastructure management to improve the efficiency and reliability of the system.

Member of Technical Staff-2 (SDET-1)

ThoughtSpot
Bangalore
07.2021 - 07.2022
  • Deployed SonarQube from scratch across 20+ repos in Java, C++, Go, Python & JavaScript, catching 10 % more code smells premerge.
  • Built CODEOWNERSforGerrit with CI/CD pipelines, enabling autoreviewer assignment in 2 weeks and reducing postmerge regressions.
  • Migrated onprem customers to a SaaS model, boosting elastic scalability and cutting upgrade effort 30 %.
  • Added logparsers and ownermapping tools, trimming manual triage time 25 % and streamlining code workflows.

Software Developer Engineer

Newgen Software
NOIDA
09.2020 - 06.2021
  • Developed an Automated Loan Flow System for US Bank using IBPS, with Java and JavaScript, optimising front-end and back-end components.

Education

Bachelor of Technology - Computer Science

JSSATE
NOIDA
01.2020

Intermediate-12th -

St. Mary's Convent Sr. Sec. School
Gajraula
01.2015

Skills

  • C, Java, Python
  • Data Structure, Algorithms
  • AWS Services, Jenkins, Git
  • RAG, Vector Database, LLM Models
  • Gradle, Maven, Microservices

Patent

https://patentcenter.uspto.gov/applications/17942234

Timeline

Member of Technical Staff-4 (SDET-2)

Thoughtspot
02.2023 - Current

Software Engineer (SDET-1)

Amazon
07.2022 - 01.2023

Member of Technical Staff-2 (SDET-1)

ThoughtSpot
07.2021 - 07.2022

Software Developer Engineer

Newgen Software
09.2020 - 06.2021

Bachelor of Technology - Computer Science

JSSATE

Intermediate-12th -

St. Mary's Convent Sr. Sec. School

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