Naman kumar

SDE-I @Kotak Mahindra Bank |Ex-SDE Intern@GapInc | Ex-Data Analyst Intern @UltraTech Cement Ltd | Full-Stack Java developer |AI/ML Enthusiast

Delhi, India

About

Experience

  • Software Engineer at Kotak Mahindra Bank
    Jul 2025 - Present · 1 yr 1 mo

    • TECH STACK: SpringBoot, Temporal, DynamoDB • Implemented Top-Up Loan in Business Loan Service backend Spring Boot, enabling fault-tolerant orchestration across microservices with JUnits testcases • Integrated Grafana and PagerDuty in several services for better monitoring

  • Software Engineer Intern at Gap
    Jan 2025 - Jun 2025 · 6 mos

    • TECH STACK: SpringBoot, React.js, PostgreSQL, Docker, Kafka, GitHub Actions, JDK 21 • Designed and built a Job Portal using SpringBoot WebFlux and reactive APIs to automate hiring workflows and enable collaboration between managers and Talent teams via scalable microservices and optimized schemas. • Upgraded backend to JDK 21, migrated Groovy to Kotlin DSL, shifted CI/CD from Jenkins to GitHub Actions, and enforced quality via JUnit, Mockito, SonarQube, and TwistLock.

  • Product Management Intern at Aditya Birla Group
    Jun 2024 - Jul 2024 · 2 mos

    Formulated and executed targeted marketing strategies to drive stakeholder engagement and anticipation for new campaigns. ● Created detailed prototypes using Figma to visualize and iterate on campaign concepts, ensuring alignment with user experience goals. ● Collaborated on the development of upcoming app functionalities, refining features and use cases through Jira andmanaged project tasks and workflows systematically.

  • Frontend Developer Intern at Shrideva Technomech Pvt Ltd
    Nov 2023 - Dec 2023 · 2 mos

    Developed 5 Dashboards in MERN Stack for company’s ERP Stitching software Shristitch.

  • Data Analyst Intern at UltraTech Cement
    Aug 2023 - Oct 2023 · 3 mos

    Designed and implemented SQL schema from RMC raw data for QMC reports using SQL, Python Pandas, and MSExcel ● Identified actionable insights on data entry issues enhancing data integrity ● Quantitative presentation on material using Tableau Prep and Data Visuals using Tableau and demonstrations on Orange Too