# Yaganti Bhargavi > Full-Stack Developer | Software Engineer | Python, Java | Django, FastAPI, React, Angular | AWS, GCP | Building Scalable Web Applications | AI/ML Enthusiast Location: United States, United States Profile: https://flows.cv/yaganti I’m a Full Stack Developer with over 6+ years of experience building scalable, secure, and high-performance applications across finance, healthcare, and enterprise domains. My expertise spans Python (Django, Flask, FastAPI), Java (Spring Boot), and Node.js for backend microservices, combined with modern frontend frameworks like React, Angular, Next.js, and TypeScript to deliver intuitive and responsive user experiences. I’m hands-on with AWS and GCP cloud environments, and have automated deployments using Docker, Kubernetes, Jenkins, and Terraform, delivering reliable CI/CD pipelines and 99.9% uptime. My work has achieved measurable results—reducing deployment time by up to 60%, improving API and query performance by 30–40%, and enabling real-time, event-driven data processing across distributed systems. Recently, I’ve been exploring AI/ML integration in full-stack applications to enable intelligent automation and predictive analytics, combining backend engineering skills with modern data-driven innovation. I’m passionate about clean code, agile collaboration, and building technology that makes systems faster, smarter, and more reliable. If you’re looking for a developer who combines full-stack expertise with problem-solving, adaptability, and a growth mindset, let’s connect! ## Work Experience ### Full Stack Developer @ Resmed Jan 2024 – Present | San Diego, CA Worked on full-stack development of healthcare analytics platforms, building FHIR-compliant REST APIs with Python (Django, FastAPI) and React/TypeScript dashboards for real-time clinical insights. Developed microservices, event-driven workflows with Kafka, and caching with Redis to support secure, high-performance data access. Deployed applications on AWS (EC2, S3, RDS, Lambda, EKS) and automated CI/CD pipelines with Terraform and Docker, reducing release downtime by 40%. Implemented OAuth2/JWT authentication for HIPAA-compliant security, created data visualizations with Matplotlib, and monitored systems using Datadog, Splunk, and ELK Stack. Collaborated in Agile Scrum teams using Jira and Slack, maintaining high-quality, scalable, and reliable production systems. ### Python Full Stack Developer @ Citi Jan 2023 – Jan 2024 | Irving, Texas, United States Developed Python microservices using Django, Flask, and FastAPI to process over 1M+ daily banking transactions, ensuring high availability and low latency. Built RESTful APIs integrated with React16 dashboards for real-time transaction monitoring and analytics, improving reporting efficiency by 35%. Implemented OAuth2/JWT authentication for secure, role-based access control, and optimized Oracle and MongoDB databases using SQLAlchemy ORM to reduce query times by 30%. Developed event-driven workflows with Kafka and GCP Pub/Sub, ETL pipelines using PySpark, and deployed containerized services on GCP Kubernetes Engine, achieving 99.9% uptime. Automated CI/CD and infrastructure provisioning using Terraform and Jenkins, monitored systems with Prometheus and Splunk, and collaborated in Agile Scrum teams using Jira and Confluence to enhance team productivity by 20%. ### Software Developer @ California State University-San Bernardino Jan 2022 – Jan 2023 | San Bernardino, California, United States Designed and developed a real-time campus service workflow web application used by 1,200+ students and staff for IT, housing, and administrative requests. Built backend microservices using Python (Flask/FastAPI) and frontend interfaces with Next.js (React) and JavaScript, improving request submission efficiency by 35% and reducing status update latency by 40%. Deployed the application on AWS (EC2, S3, RDS) with PostgreSQL/MySQL, implemented JWT-based role access control, and optimized performance with Redis caching and background processing. Conducted automated API and UI testing with Pytest, Postman, and Selenium, achieving 99.5% uptime, and collaborated in Agile sprints using Git and Jira. ### Software Engineer @ Novartis Jan 2019 – Jan 2022 | Hyderabad Worked on developing and enhancing clinical trial management applications used by healthcare teams to monitor and analyze patient data. Designed and implemented scalable backend services using Java and Spring Boot, building RESTful APIs to support multiple web modules and real-time analytics dashboards integrated with Angular and TypeScript frontends. Implemented event-driven architectures using Kafka and RabbitMQ to enable real-time synchronization of clinical trial data across distributed systems. Optimized PostgreSQL and MongoDB databases using Hibernate and JPA, improving query performance and system reliability. Deployed containerized microservices using Docker on AWS and collaborated in Agile Scrum teams to deliver secure, high-performance healthcare applications. ## Education ### Master of Science - MS in Computer Science California State University-San Bernardino ### Bachelor of Technology - BTech in Computer Science Jawaharlal Nehru Technological University ## Contact & Social - LinkedIn: https://linkedin.com/in/yaganti-bhargavi --- Source: https://flows.cv/yaganti JSON Resume: https://flows.cv/yaganti/resume.json Last updated: 2026-04-18