# Keerthi Thammanapudi > Software Engineer | Java & Python | Full Stack | Cloud-Native Systems | AI-Integrated Applications Location: Atlanta Metropolitan Area, United States Profile: https://flows.cv/keerthithammanapudi Software Engineer with 5+ years of experience building scalable, cloud-native applications across backend and full-stack environments. I specialize in designing RESTful APIs, distributed systems, and high-performance web applications using Java (Spring Boot), Python, and modern frontend frameworks like React and Angular. At Qualcomm and Accenture, I’ve built and operated production systems supporting 1,000+ users and 10,000+ daily transactions, improving API performance by up to 40% and maintaining ~99.9% uptime. My experience spans microservices architecture, event-driven systems (Kafka), AWS deployments, CI/CD automation, and performance optimization. I enjoy solving complex engineering problems, improving system reliability, and building secure, maintainable software that scales. I’m particularly interested in modern SaaS platforms, AI-enabled systems, and distributed architectures where engineering quality and impact truly matter. ## Work Experience ### Software Developer @ Qualcomm Jan 2024 – Present | San Diego, CA Project 1: Digital Footprint Platform •Led development of a cloud-native Digital Footprint Platform used by 1,000+ engineers, processing 40K–60K daily CI pipeline events with 99.9% uptime. •Designed 20+ RESTful APIs integrating 10+ internal systems, reducing API latency by 30% through PostgreSQL and Oracle query optimization. •Architected Kafka-driven microservices and Node.js BFF services, increasing throughput by 35% and reducing integration defects by 20%. •Built role-based dashboards using React, Angular, and TypeScript, improving frontend efficiency by 45% and reducing analysis time by 25%. •Integrated LLM-powered anomaly detection reducing log analysis by 30-35%; automated Timesheet Validation cutting approval mismatches by 70%. •Containerized with Docker, automated CI/CD via GitHub Actions and Jenkins reducing deployments by 3x and incidents by 40%. Project 2: AI Prediction Tools •Sole developer of an internal full-stack company research and AI prediction platform, reducing manual research time by 70% through automated multi-source data enrichment. •Designed a scalable MongoDB + Prisma architecture across 6 collections with a caching layer, reducing third-party API credit consumption by 40% and preventing redundant enrichment calls at scale. •Architected a unified parallel processing pipeline supporting multiple data sources and enrichment workflows, improving data processing throughput by 3x over prior manual processes. •Implemented secure authentication using NextAuth with JWT encryption and role-based access control (RBAC), enabling organization-wide secure access. •Established CI/CD using GitHub and Vercel for automated zero-downtime deployments on every commit to master, reducing release cycles from hours to minutes. •Managed end-to-end production infrastructure including environment configuration, domain setup, secure MongoDB–Vercel integration, and IP whitelisting. ### Graduate Teaching Assistant @ Kennesaw State University Jan 2023 – Jan 2023 | Marietta, GA • Assisted 90+ undergraduate students in Java and Python programming, strengthening backend fundamentals and API development skills. • Guided hands-on projects involving REST APIs and database integration, improving practical software development understanding. • Demonstrated backend application development using Spring Boot and Docker, introducing students to real-world workflows. • Mentored students through debugging and troubleshooting sessions, resolving 50+ technical issues across coursework and projects. • Collaborated with faculty to enhance coding exercises and improve technical learning outcomes ### Associate Software Developer @ Accenture Jan 2019 – Jan 2022 | Hyderabad • Developed a full-stack Healthcare Management System using React and Spring Boot, supporting 10,000+ daily transactions across patient, billing, and scheduling modules. • Designed and optimized RESTful APIs, reducing latency by ~40% and improving data retrieval efficiency by ~35% through database tuning (MySQL, MongoDB). • Deployed and maintained applications on AWS (EC2, RDS, Auto Scaling), achieving ~99.9% uptime and supporting up to 5,000 concurrent users. • Built CI/CD pipelines using Jenkins, reducing deployment time by ~60% and automating ~80% of release workflows. • Improved overall system performance by ~45% through server optimization, monitoring integration, and performance tuning. ## Education ### Master of Science - MS in Computer Science Kennesaw State University ### Bachelor of Technology - BTech in Computer Science Swarnandhra College of Engineering & Technology, Narasapur. PIN -534275 (CC-A2) ## Contact & Social - LinkedIn: https://linkedin.com/in/keerthi-thammanapudi --- Source: https://flows.cv/keerthithammanapudi JSON Resume: https://flows.cv/keerthithammanapudi/resume.json Last updated: 2026-04-18