Harshavardhan Jemedar

Senior Backend Engineer experienced in designing and scaling distributed backend systems with Java, Spring Boot, and REST APIs, integrating AI-powered tools to improve automation, insights, and system efficiency. Strong background in PostgreSQL and multiple relational and NoSQL databases, with a focus on performance, reliability, and observability using modern monitoring and logging platforms. Actively drive technical decisions, and collaborate across teams to deliver robust, production-grade systems.

Managed web applications for CSUF services, ensuring functionality, security, and availability for students and faculty. Developed an AI-powered virtual assistant with OpenAI's GPT to enhance user interaction and automate support. Conducted research on drone simulation by integrating open-source tools like YOLO, ROS, CUDA, C++, and Python libraries with CNN-based object detection models, optimizing real-time drone perception and navigation in autonomous systems. I led weekly lab sessions for computer science undergraduates, fostering a supportive and engaging learning environment. I guided students through complex Java and Object-Oriented Programming concepts, encouraging hands-on problem-solving and promoting collaboration. By adapting my teaching to diverse learning styles, I helped students build confidence in foundational programming skills.

Designed and developed high-throughput RESTful APIs using Java, Spring Boot, and Kafka, enabling real-time CRM and billing system integration, resulting in a 20% improvement in customer experience through reduced call drop rates. Migrated monolithic systems to microservices and deployed them on AWS EKS, reducing deployment time and infrastructure costs by 30%. Built event-driven processing pipelines with Kafka, SQS, and RabbitMQ to handle millions of telecom events daily with guaranteed delivery and minimal latency. Implemented infrastructure automation using Terraform and AWS CDK, enabling environment consistency across dev, QA, and production and cutting provisioning time from hours to minutes. Enhanced observability by integrating CloudWatch, Splunk, and the ELK stack, resulting in a 40% reduction in incident MTTR (mean time to recovery). Secured APIs using OAuth2 and AWS Cognito, ensuring compliance with telecom-grade security standards and policies. Led the design of CI/CD workflows across 15+ microservices using Jenkins and Docker, promoting faster and safer deployments.

Developed secure, HIPAA-compliant APIs using Spring Boot, Hibernate, and JPA, streamlining electronic health record (EHR) access between providers and insurers. Designed and optimized PostgreSQL and MongoDB schemas, enhancing patient data retrieval speeds by 40% using advanced indexing strategies and query optimization. Implemented a serverless architecture with AWS Lambda, API Gateway, and S3, improving system responsiveness and reducing operational overhead. Integrated role-based access control using OAuth2, JWT, and Azure AD, ensuring sensitive health data was accessed securely based on user roles. Collaborated with cross-functional teams to design reliable interfaces, achieving zero production rollbacks during the deployment of new modules.