Harish Bharathapu
Cincinnati,OH
Summary
Software Engineer focused on backend development, cloud deployment, and release automation across AWS and distributed application environments. Experience includes reducing API response times, improving deployment speed with CI/CD workflows, and using monitoring, scripting, and SQL analysis to resolve production issues and strengthen system reliability. Known for contributing to scalable services, stable releases, and cross-functional delivery.
Overview
6
6
years of professional experience
Work History
Software Engineer
Axon
Chicago, Illinois
01.2025 - Current
- Managed application deployments on AWS EC2, configuring compute environments and application dependencies to support reliable, scalable, highly available software operations.
- Streamlined Jenkins-based CI/CD workflows for software builds, release management, deployment execution, and application validation, resulting in 30% faster deployment cycles.
- Applied AWS CloudWatch to monitor application health, system performance, resource utilization, and operational logs, reducing production issue detection time by 30%.
- Automated repetitive deployment, configuration, and system administration tasks with Python and shell scripting, reducing manual intervention by 35%.
- Used Amazon S3 for application packages, deployment artifacts, and software distribution, streamlining release management and reducing deployment preparation time by 25%.
- Supported end-to-end software deployment activities across AWS cloud and on-premises environments, including application installation, configuration, version upgrades, release validation, and production readiness.
- Completed software version upgrades, configuration management, deployment validation, and post-release testing, maintaining a 95% deployment success rate across application releases.
- Collaborated with software development, QA, infrastructure, and cross-functional engineering teams to investigate technical issues, contribute to technical discussions, and deliver reliable software solutions.
- Investigated complex application and infrastructure issues through system log analysis, debugging, SQL queries, and root cause analysis (RCA), reducing recurring production incidents by 20%.
- Configured and validated application dependencies, network connectivity, system configurations, and environment-specific parameters to support seamless application integration across distributed environments.
- Worked with relational databases using SQL to validate application data, troubleshoot database-related issues, execute queries, and maintain data consistency during software deployments and upgrades.
- Applied software development life cycle (SDLC), Agile methodologies, debugging, and operational excellence practices to support complete application lifecycle from software installation and deployment through ongoing production support.
Software Engineer
LTIMindtree
09.2021 - 05.2023
- Designed and implemented Kafka-based streaming pipelines to capture and process over 20,000 daily events involving orders, deliveries, and returns, enabling near real-time updates and system decoupling between microservices.
- Engineered and maintained scalable backend microservices using Java Spring Boot to streamline product lifecycle, inventory synchronization, and order processing workflows across global ERP systems, handling over 100,000 transaction records per month.
- Created and optimized RESTful APIs that reduced average API response times by 35%, enhancing performance for both internal operations and customer-facing portals.
- Collaborated with frontend teams to integrate React-based interfaces with backend services, enabling end-to-end workflows for order tracking, product filtering, and returns processing, improving development velocity by 25%.
- Delivered responsive UI features using React, improving usability for modules such as user onboarding, product catalog views, returns management, while adhering to accessibility standards and cross-browser compatibility.
- Refactored and tuned complex PostgreSQL queries, leading to a 40% performance gain in catalog rendering and dynamic filtering of product data during peak usage.
- Managed backend deployments using GitHub Actions and Jenkins, with automated pipelines enabling reliable and repeatable builds, testing, and release processes across multiple environments.
- Established robust rollback-safe deployment strategies that reduced production downtime and deployment-related issues by 60%, increasing stakeholder confidence in release cycles.
- Developed comprehensive unit and integration tests using JUnit and built Postman collections for REST API validation, achieving 90% test coverage and reducing post-release bugs by over 40%.
- Conducted peer code reviews, promoted best practices in microservice design and code quality, and mentored junior developers, enhancing team efficiency.
Software Engineer Intern
Accenture
02.2021 - 07.2021
- Designed, developed, and tested 10+ RESTful APIs using Java Spring Boot for a cloud-based client onboarding platform, enabling seamless data flow between frontend and backend systems and reducing client onboarding time by 20%.
- Created robust JUnit test suites and comprehensive Postman collections to validate endpoint performance, edge case handling, and response structures, achieving 85% code coverage and significantly reducing bugs.
- Automated operational diagnostics by building log parsing scripts in Java and Bash to detect error patterns and generate detailed failure reports, cutting manual log analysis time by over 50% and enhancing root cause identification during incident response.
- Assisted in improving system stability by proactively participating in peer code reviews, identifying performance bottlenecks, and applying best practices in exception handling and database interaction.
- Participated in Agile development sessions, contributing to daily stand-ups, sprint planning, and retrospectives to enhance team alignment and project progress.
- Developed documentation for endpoint specs, service flows, and deployment notes, facilitating smoother handoffs and fostering collaboration between frontend, QA, and DevOps teams.
- Assisted with deployment activities in staging environments and performed UAT (User Acceptance Testing) to ensure client-specific configurations and business rule implementations met requirements.
Education
Master of Science - Information Technology
Indiana Wesleyan University
Indiana, US12-2024
Bachelor of Technology - Electronics & Communication Engineering
St.Martin's Engineering College
Hyderabad, India07-2021
Skills
- Frameworks and tools: Spring Boot, React, Kafka, Redux, REST APIs, JUnit, Postman, Git, GitHub Actions, Jenkins
- Programming languages: Java, Python, Go, JavaScript (Reactjs, Nodejs), C, C, SQL, Bash, HTML, CSS
- Cloud and DevOps: AWS, GCP, Azure, Terraform, CI/CD, Docker
- Databases: PostgreSQL, MySQL, MongoDB, Google BigQuery
- Pipelines: CI/CD pipelines
- Deployment: AWS deployment
- API design: RESTful API design
- Software engineering: Agile (Scrum), Requirements gathering, UAT, Jira
- Testing and troubleshooting methodologies
- Troubleshooting: SQL troubleshooting
- Software design principles
- Software applications management
- Analytics and visualization: Tableau, Excel (Pivot formulas), Google Sheets
PROJECTS
- Cloud Security Insights Dashboard (Tableau + Python + GCP), Built a Tableau dashboard using audit logs from GCP Cloud Logging and IAM exports to visualize multi-region access anomalies and policy violations. Parsed large JSON-based logs with Python to identify misconfigurations, suspicious access patterns, and IAM drift. Enabled role-based filtering and KPIs to support security and compliance audits across 5+ cloud projects.
- Enterprise Order Management System (Full Stack– Java Spring Boot + React + Kafka), Engineered backend microservices using Java Spring Boot for user authentication, product catalog, and order workflows; supported 100K+ users. Integrated React-based frontend for smooth UI interactions and responsive product pages. Designed Kafka-based messaging pipeline to handle 20K+ daily order and delivery events, ensuring real-time processing and system decoupling.
- Smart Defect Classifier (Deep Learning + Flask + TensorFlow), Developed a defect detection tool using a CNN model trained on product images to identify surface-level anomalies in manufacturing samples with 92% accuracy. Integrated the model into a lightweight Flask web app allowing users to upload images and receive instant feedback. Deployed via GCP and monitored API performance using Cloud Logging and Pub/Sub for asynchronous processing.
Timeline
Software Engineer
Axon
01.2025 - Current
Software Engineer
LTIMindtree
09.2021 - 05.2023
Software Engineer Intern
Accenture
02.2021 - 07.2021
Master of Science - Information Technology
Indiana Wesleyan University
Bachelor of Technology - Electronics & Communication Engineering
St.Martin's Engineering College