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Keyur Kheni

Experienced Full-Stack Software Engineer with almost 3 years in creating robust, scalable solutions using Java, J2EE, Spring Boot, and Angular. With a strong foundation in data structures and algorithms, I write optimized code and thrive in environments that foster innovation, teamwork, and continuous learning.
  • Role

    Software Development Engineer II

  • Years of Experience

    4.25 years

Skillsets

  • Python
  • SQL
  • MariaDB
  • Kubernetes
  • Kafka
  • Jenkins
  • Grafana
  • GCP
  • ELK Stack
  • Docker
  • Django
  • C++
  • C
  • TypeScript
  • Java - 3.4 Years
  • PostgreSQL
  • AWS
  • Redis
  • J2EE
  • Git
  • Git
  • Elasticsearch
  • CI/CD
  • CI/CD
  • Angular
  • MySQL - 4 Years
  • Hibernate - 3.4 Years
  • Spring Boot - 3.4 Years

Professional Summary

4.25Years
  • Jul, 2023 - Present2 yr 9 months

    Software Development Engineer - 2

    PeopleStrong
  • Jun, 2022 - Jul, 20231 yr 1 month

    Software Development Engineer - 1

    PeopleStrong
  • Jan, 2022 - Jun, 2022 5 months

    Software Development Engineering Internship

    PeopleStrong

Applications & Tools Known

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    Git

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    Kubernetes

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    Jenkins

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    DocuSign

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    PostgreSQL

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    Python

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    TypeScript

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    AWS (Amazon Web Services)

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    GitLab

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    Java

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    Spring Boot

Work History

4.25Years

Software Development Engineer - 2

PeopleStrong
Jul, 2023 - Present2 yr 9 months
    Designed and developed Requisition, Salary, OTB, and Offer Approval workflows with configurable multi-level approvals, audit logs, and role-based access control for enterprise clients. Optimized candidate search and filtering using Apache Solr and Elasticsearch, reducing average query latency by 72% across 10M+ candidate records. Built a high-scale PDF generation and e-signature pipeline integrating Digio and DocuSign, supporting canvas uploads, dynamic PDF stamping, and real-time callbacks, processing 500K+ documents per month. Owned and resolved 200+ production issues across recruitment and onboarding modules, including Sev-1 incidents, achieving an average resolution TAT of 2 hours and ensuring high system availability for enterprise clients. Improved system performance by optimizing 30+ high-latency APIs using caching, indexing, query tuning, and batch processing, monitored via ELK Stack, Grafana, and production logs. Developed backend services for candidate lifecycle management (application, shortlisting, offers, onboarding), improving recruiter efficiency across multiple hiring stages.

Software Development Engineer - 1

PeopleStrong
Jun, 2022 - Jul, 20231 yr 1 month
    Integrated Gen-AI driven features and document verification workflows (Aadhaar, PAN, Bank) into Recruit and Onboarding platforms, improving candidate verification accuracy and turnaround time. Designed a bulk offer letter generation system producing personalized offers for 45+ candidates per batch, resolving placeholders, applying dynamic letterheads, and eliminating manual processing. Contributed to the Position Management System enabling dynamic of bubble positions and automated pipeline reallocation, adopted by 25+ enterprise clients. Collaborated with product, frontend, and QA teams to design scalable backend services for recruitment and onboarding modules.

Software Development Engineering Internship

PeopleStrong
Jan, 2022 - Jun, 2022 5 months
    Developed advanced filtering functionalities in job and applicant modules, significantly improving user satisfaction. Migrated Onboarding and Candidate Portal databases from MySQL to MariaDB, ensuring data integrity, resolving compatibility issues, and enhancing system performance.

Achievements

  • Achieved 3rd ranked in Gen-AI hackathon held by PeopleStrong Technology
  • Ranked 265 out of 10000 in Codeforces Round 732 Div.2 Contest
  • Ranked 388 out of 6000 in Codechef March Cook-off 2021 Contest
  • 3rd ranked in Gen-AI hackathon held by PeopleStrong Technology

Major Projects

1Projects

Web Metadata Retrievals

    Built a website for web metadata retrievals. Developed a web-based service capable of extracting metadata from web pages using Python and Django. Leveraged BeautifulSoup to extract information like title, description, and image URLs from webpage HTML. Designed a clean and intuitive user interface using HTML and CSS to display metadata results. Integrated caching mechanisms within Django to store and retrieve previously scraped metadata from SQLite database.

Education

  • B.Tech in Information and Communication Technology

    Dhirubhai Ambani Institute of Information and Communication Technology (2022)