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Bharath S

I’m a backend-focused Software Engineer with experience building scalable, cloud-native systems across companies like Nextiva, Samsung R&D, and Digital.ai. I work primarily with Java, Spring Boot, microservices, distributed systems, and cloud platforms (AWS/GCP/Azure). Over the years, I’ve contributed to search systems, NLP-driven features, API integrations, data pipelines, and high-performance backend services.

I enjoy solving complex engineering problems, improving system reliability, and designing clean, efficient backend architectures. I'm also passionate about learning, experimenting with new technologies, and building products that make an impact.

  • Role

    SE II

  • Years of Experience

    5 years

Skillsets

  • Datadog
  • JUnit
  • Mockito
  • Oauth 2.0
  • Rest APIs
  • Spring Boot
  • Spring MVC
  • Agile
  • Apache Kafka
  • Java
  • Debugging
  • Design patterns
  • Distributed Systems
  • event-driven architecture
  • Machine Learning
  • NLP
  • Postman
  • System Design
  • Linux
  • Azure
  • BigQuery
  • Docker
  • GCP
  • Git
  • Grafana
  • Hibernate
  • Kubernetes
  • AWS
  • Microservices
  • MongoDB
  • MySQL
  • Node.js
  • Redis
  • Apache Solr
  • Elasticsearch

Professional Summary

5Years
  • Feb, 2024 - Present2 yr 1 month

    SE II

    Nextiva
  • Sep, 2022 - Jan, 20241 yr 4 months

    SE/SSE

    Samsung Research
  • Nov, 2021 - Apr, 2022 5 months

    SDE

    Digital.ai
  • Jan, 2021 - Jun, 2021 5 months

    Android Engineer (Intern)

    Groww
  • Aug, 2021 - Oct, 2021 2 months

    Junior SDE

    Germinait Solutions

Applications & Tools Known

  • icon-tool

    Android Studio

  • icon-tool

    Visual Studio Code

  • icon-tool

    PyCharm

  • icon-tool

    IntelliJ

  • icon-tool

    Putty

Work History

5Years

SE II

Nextiva
Feb, 2024 - Present2 yr 1 month
    Built scalable Spring Boot microservices integrating Microsoft Outlook APIs for email ingestion using Java 8 and MongoDB. Developed and maintained Twitter API integrations with OAuth 2.0, token management, pagination, and concurrency handling in high-traffic systems. Integrated Google Reviews and Microsoft Teams Presence & Messaging APIs to enable real-time communication workflows. Designed RESTful microservices using Spring Boot, MongoDB, and MySQL to process Facebook and Instagram data for analytics. Built event-driven, asynchronous systems using Kafka, implemented Apache Solr-based search, enforced PII masking, and deployed services with Docker and Kubernetes across AWS, GCP, and Azure.

SE/SSE

Samsung Research
Sep, 2022 - Jan, 20241 yr 4 months
    Designed and built search APIs for bookmarks and browsing history in Samsung Browser using Java, NLP, and Elasticsearch to improve relevance and performance. Developed internal automation tools using Python, Node.js, and REST APIs to streamline data pipelines for ML models, earning Developer of the Month recognition.

SDE

Digital.ai
Nov, 2021 - Apr, 2022 5 months
    Improved ETL pipeline performance by implementing template-based processors and refactoring core modules using Java, Apache Spark, Hibernate, and MySQL. Worked on data ingestion and processing workflows, supporting Kafka-based messaging and deployments on Tomcat in a distributed backend environment.

Junior SDE

Germinait Solutions
Aug, 2021 - Oct, 2021 2 months
    Enhanced a Spring Boot backend by integrating Twitter APIs using Twitter4J, enabling social data ingestion and persistence with MongoDB.

Android Engineer (Intern)

Groww
Jan, 2021 - Jun, 2021 5 months
    Built a secure password reset workflow for the Groww Android app, implementing API integration and navigation using Java and standard Android architecture patterns. Developed the initial Option Chain page for F&O Trading, focusing on responsive UI, app navigation, and REST-based data integration.

Major Projects

3Projects

Expense Tracker Application Backend Development

    Built a full-stack expense tracking app using Java, Spring Boot, MySQL, and a React frontend with REST APIs.

Stock Screener

    Developed a stock screening service using Python and FastAPI, with data models built using SQLAlchemy and Pydantic.

Twitter Sentiment Analysis with Location Classification

    Implemented sentiment analysis and location classification on global Twitter data using Python and ML models.

Education

  • M.E. in Computer Science

    BITS Pilani (2021)

  • B.E. in Computer Science

    Visvesvaraya Technological University (2018)