Cloud-Native Software Engineer with AWS Expertise

Deepthimayi Pesala

203-***-**** ************@*****.*** LinkedIn GitHub Portfolio Santa Clara, CA SUMMARY

Software Engineer with 2+ years of experience building and operating scalable, cloud-based distributed systems. Skilled in Java, Python, AWS, and microservices, with CI/CD and production support experience. Passionate about delivering customer-focused, high-quality solutions.

EDUCATION

California State University, Fullerton Master of Science, Computer Engineering Fullerton, CA Jan '24 - Dec '25 BVRIT Hyderabad Bachelor of Technology, Electronics & Communication Engineering India Aug '17 - Aug '21 PROFESSIONAL EXPERIENCE

Software Engineer Capgemini Hyderabad, India Aug '21 - Dec '23 Developed Java-based microservices processing 50K+ insurance transactions daily, using event-driven architecture and validation pipelines to reduce data errors by 40%. Integrated AWS S3, Lambda, CloudWatch, & DynamoDB for secure storage, asynchronous processing, real-time monitoring Managed Kafka streams for real-time ingestion, enforcing schema contracts and minimizing ingestion failures. Built API integration layer handling 100K+ requests/day with OAuth 2.0 token caching, reducing authorization latency by 60% Applied multithreading and concurrency techniques to improve throughput and reduce latency in transaction processing. Improved test coverage to 75% by implementing unit and integration tests with JUnit. Led 3-person on-call rotation resolving production failures during weekly deployments, maintaining 99.9% uptime Managed CI/CD pipelines using Jenkins and Docker, automating build, test, and deployment workflows while coordinating 20+ pull requests per release across services.

Full Stack Developer Intern Capgemini Hyderabad, India Apr '21 - Jul '21 Implemented RESTful APIs with Spring Boot and Hibernate, integrated with a React-based UI for a nutrition tracking platform. Developed and integrated APIs for multi-tier systems, streamlining data exchange and improving application reliability by 15%. Collaborated with cross-functional teams to design scalable backend services for multi-tier applications TECHNICAL SKILLS

Programming Languages: Java, Python, C/C++, SQL, JavaScript Cloud & DevOps: AWS (EC2, S3, Lambda), Docker, Kubernetes, Kafka, TeamCity, Bitbucket, CI/CD Web Development and APIs: Spring Boot, REST / SOAP APIs, Microservices, OAuth 2.0, JWT, React, JUnit Databases & Tools: MySQL, MongoDB, Git, Postman, Datadog, Apache JMeter, LoadRunner Core Concepts: Data Structures & Algorithms, OOP, System Design, SDLC (Agile / Scrum), Jira PROJECTS

Retrieval-Augmented Generation (RAG) Chatbot (AWS S3, OpenSearch, Bedrock) Built AI-powered document Q&A system handling 5K+ documents, enabling fast and reliable information retrieval. Implemented hybrid search with vector similarity and keyword matching, improving answer relevance and efficiency. Food Delivery App (Full-Stack, MERN)

Developed MERN stack app with real-time WebSocket order tracking for 1K+ users, ensuring reliable and low-latency service. Built RESTful APIs with Express.js and MongoDB for order management, user authentication (JWT), and real-time notification Application Performance Testing (JMeter, LoadRunner) Designed load testing framework simulating 1,000+ concurrent users on critical endpoints, identifying bottlenecks in authentication and database queries

Optimized system performance by 25% throughput increase through query optimization and pooling recommendations EEG-Based Deception Detection Using Deep Learning (Python, TensorFlow, CNN-LSTM) Explored CNN-LSTM model pipelines and extracted time-frequency features (FFT & DWT) to analyze cross-subject EEG signals, demonstrating problem-solving with complex data and signal processing workflows.

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