Software Engineer

Mullapudi Ram Subhash Software Engineer

**********@***********.*** +1-470-***-**** Atlanta, GA LinkedIn Profile

Experienced Software Engineer with 5+ years of experience in building scalable, secure, and high-performance web applications using modern frontend and backend technologies. Proficient in React, Angular, Python, and Java frameworks, with strong expertise in cloud platforms like AWS and Azure. Adept at implementing microservices, API development, database optimization, and CI/CD pipelines. Committed to agile collaboration, quality code, and delivering solutions that enhance user experience and operational efficiency. Skills

Programming Languages: Python, JavaScript, Java, C#, Go, TypeScript, Bash, PowerShell Frameworks & Libraries: Spring Boot, Django, .NET Core, Node.js, React, Angular, Vue.js, React Native, Flutter, Swift, Kotlin APIs & Integration: RESTful APIs, GraphQL, gRPC

Databases&ORMs: PostgreSQL, MySQL, SQL Server,MongoDB, Redis,Cassandra, Hibernate, SQLAlchemy, Sequelize Cloud Platforms & Serverless Architectures: AWS (EC2, S3, Lambda, Step Functions, RDS, ECS, ECR, CodePipeline, CodeBuild, CloudWatch, X- Ray, IAM, EKS), Azure (App Services, DevOps, Kubernetes), Google Cloud Platform CI/CD&DevOps: AWS CodePipeline, CodeBuild, Azure DevOps, Jenkins, GitHub Actions, GitLab CI, CircleCI, Docker, Kubernetes, Terraform, CloudFormation

Version Control & Workflow: Git (GitHub, GitLab, Bitbucket), GitHub Flow, Protected Branch Policies Testing &Quality Assurance: JUnit, Pytest, Jest, Cypress, Selenium, Test-driven Development (TDD) Design & Architecture: System Design Fundamentals, Design Patterns (Factory, Singleton, Observer), Clean Code Principles, DDD AI/ML Toolchains: TensorFlow, Scikit-learn

Observability & Monitoring Tools: Prometheus, Grafana, New Relic Streaming & Messaging Systems: Kafka, Kafka Streams (Advanced experience with streaming systems) Security&Compliance: JWT, OAuth2, Encryption, PCI-DSS, FATCA/AML Compliance Cross-functional Collaboration & Project Management: Experience working closely with Product, UX, QA, and DevOps teams, Jira, Trello, Asana, Agile/Scrum Methodology

Professional Experience

Payoneer, Software Engineer 05/2024 – Present Remote, USA Engineered a Real-Time Cross-Border Transaction Monitoring Dashboard, enabling operations and compliance teams to visualize high-volume, multi-currency payment streams. Team up across product, UX, and backend teams using agile methods, easing feature delivery cycles by ~20%. Directed frontend architecture using React with modern tooling like React Hooks, Context API, React Suspense, dynamic component loading, and custom reusable HOCs. Integrated Recharts for dynamic time-series analytics and enhanced performance using code-splitting and lazy loading, leading to a 15% uplift in session duration.

Replaced traditional polling with Apache Kafka-backed streaming APIs for real-time transaction updates. Subscribed to high-throughput Kafka topics via RESTful endpoints and SSE, enabling near-instant updates on transaction states across currencies and geographies. Developed scalable microservices using Spring Boot, applying Reactive Programming with Spring WebFlux, and integrating with Apache Kafka for processing millions of transaction events per day. Leveraged Kafka Streams for transformation, filtering, and enrichment pipelines—reducing processing latency by ~25%.

Designed and optimized AWS RDS (PostgreSQL) schemas for multi-tenant transaction datasets with indexing strategies, partitioning, and query tuning. Ensured compliance with PCI-DSS and FATCA/AML standards by implementing JWT/OAuth2-based authentication, field-level encryption, and audit trails.

Built a robust CI/CD pipeline using AWS CodePipeline, CodeBuild, and Terraform for infrastructure-as-code. Integrated SonarQube, JUnit, and Mockito for code coverage, static analysis, and test automation—achieving 40% faster release cycles with near-zero regression failures. Deployed containerized services using AWS ECS (Fargate) and AWS ECR with centralized logging via CloudWatch Logs and distributed tracing using AWS X-Ray. Used auto-scaling policies and health checks for SLA-bound global deployments, cutting downtime by 35%. Utilized IntelliJ IDEA (Ultimate) for backend microservices and VS Code for frontend development. Adopted Git, GitHub Flow, and protected branch policies with mandatory PR reviews to maintain enterprise-grade source control practices across global engineering teams. Mentored junior engineers through pair programming, led code reviews ensuring adherence to best practices, conducted onboarding sessions, and hosted bi-weekly tech talks to foster continuous learning and cross-team knowledge sharing. Expedia Group, Software Engineer 01/2023 – 05/2024 Remote, USA Worked on Next-Gen Booking Platform Modernization by collaborating with product managers, UX designers, and backend teams during requirement gathering sessions using Agile methodology. Redesign improved booking engine scalability by 40% using microservices and cloud- native tech.

Developed frontend using React and Redux for state management. Created responsive UI features such as real-time booking updates and dynamic pricing. Conducted A/B testing, improving user engagement by 15% while collaborating with design and backend teams. Designed and optimized AWS-hosted databases using Amazon RDS and DynamoDB. Enhanced query performance by 30% with indexing and caching strategies. Implemented strong data encryption and IAM policies to ensure high security and regulatory compliance. Built backend microservices in Python with FastAPI and Flask. Migrated monolithic services to scalable microservices. Implemented REST APIs for hotels, flights, and car rentals. Integrated machine learning models to personalize offers, increasing upsell revenue by 20%. Created unit and integration tests with Pytest and Jest. Set up CI/CD pipelines using AWS CodePipeline and CodeBuild. Automated tests and deployments reduced bugs by 25% and accelerated release cycles by 35%. Collaborated with DevOps engineers to deploy applications on AWS EKS using Kubernetes Container orchestration, improved latency and fault tolerance, Deployment automation, increased platform uptime to 99.9%, and boosted overall system reliability. Genpact, Software Developer 01/2020 – 07/2022 Hyderabad, India Developed a web-based Employee Management System, collaborating with product owners and QA teams. Improved requirement gathering efficiency by 30% through Agile ceremonies like sprint planning and daily standups. Led front-end development in Angular, building dynamic forms, employee dashboards, real-time notifications, and role-based access control. Increased user engagement by 25% via A/B testing and reusable components with NgRx state management. Designed and optimized Azure SQL Database schema, improving query response time by 40%. Implemented indexing and caching strategies that reduced server load by 20%, supporting over 10,000 employee records. Developed backend RESTful APIs using Django REST Framework, enabling 99.9% uptime and reducing data processing time by 35%. Followed modular coding standards improving maintainability and feature rollout speed by 30%. Enhanced security by implementing OAuth2 and data encryption, reducing security incidents by 50%. Worked closely with compliance teams to ensure 100% adherence to company security policies. Wrote unit and integration tests using PyTest and Jasmine. Automated testing and builds via Azure DevOps pipelines, increasing deployment frequency by 40% and reducing bugs in production by 30%. Deployed application on Azure App Services, collaborating with DevOps to enable containerization and auto-scaling. Reduced downtime during releases by 60% using rollback strategies and monitoring tools. Education

Kennesaw State University, Master of Science, Computer Science Kennesaw, GA Amrita VishwaVidyapeetham,

Bachelor of Technology, Electronics and Communication Engineering India Projects

DevDash – Cloud-Native Developer Insights & Engineering Metrics Platform Django REST Framework, GitHub GraphQL API, Kubernetes, Prometheus, Grafana, PostgreSQL, Docker, Celery, RabbitMQ Designed and deployed an observability platform ingesting GitHub metadata via GraphQL and webhooks; used Celery + RabbitMQ for async event processing, improving throughput 4x and enabling real-time analytics on commits, PRs, and CI events. Deployed services in Dockerized Minikube cluster with autoscaling; built Prometheus-based metric ingestion with Grafana dashboards for engineering KPIs, and implemented OAuth2-based RBAC with JWT-secured sessions. SmartTrip – AI-Powered Serverless Travel Planning Platform React.js, Flask, AWS Lambda, PostgreSQL (RDS), Google Maps API, OpenAI GPT API, Re Built a cloud-native travel planner using serverless architecture via AWS Lambda for real-time itinerary generation; implemented a multi-stage recommendation engine with GPT API and K-Means clustering to suggest optimal routes, attractions, and stays. Integrated Google Maps API for route optimization and Redis caching to reduce API latency by 60%; developed Flask REST APIs with secure sessions, React.js frontend with React Query for offline support, and CI/CD via GitHub Actions + AWS S3. AuthX – Enterprise-Grade IAM Platform with Auditing and Policy Engine Node.js, Express.js, MongoDB Atlas, Keycloak, OPA, React.js, NGINX, Terraform Developed a modular IAM platform supporting multi-tenant auth flows, federated login via Keycloak, and fine-grained runtime access control using OPA + Rego policies; built an Express.js API gateway with OAuth2, SAML, and passwordless login. Engineered secure identity storage with TTL-indexed sessions in MongoDB Atlas; integrated audit logging to ELK for policy violation monitoring, and automated infrastructure deployment on GCP using Terraform with environment-based feature toggles.