Krishnaveni Maram
I am Krishnaveni Maram, a full-stack Java developer with 5+ years of experience designing, building, and deploying scalable, distributed web applications and microservices using Java, Python, Spring Boot, and…
About
I am Krishnaveni Maram, a full-stack Java developer with 5+ years of experience designing, building, and deploying scalable, distributed web applications and microservices using Java, Python, Spring Boot, and JavaScript (ReactJS, NodeJS) across AWS, GCP, and Azure. I have a strong track record delivering modular, secure REST APIs and microservices, with a focus on high throughput and maintainable architectures.
In my roles at USF Brain and Aphasia Recovery Lab, Accenture, and HCL, I’ve built streaming data pipelines, migrated legacy systems to cloud-native stacks, and implemented observability and CI/CD practices to raise reliability and reduce release cycles. I enjoy collaborating in Agile teams and applying robust design patterns to solve complex problems.
- 4 years' experience
- Joined September 2025
Industry experience
- Software & Internet
- Healthcare
- Education
- Professional Services
- Financial Services
Work experience· 6 roles
Led front-end and back-end development for a research platform. Built Angular UI components with Angular Material and Bootstrap, optimizing load times and cross-browser compatibility. Implemented dynamic routing and AJAX data binding to drive tables, modals, and grids. Delivered Java/J2EE modules (Spring Boot, Spring MVC, EJB, Struts, JSP, JDBC) with modular patterns to reduce redundancy. Integrated Node.js for server-side logic and asynchronous REST calls. Created RabbitMQ routes for reliable inter-service communication. Designed a Python-based ABCD simulation framework using LangGraph and GPT-4 streaming APIs for AI-assisted dialogue. Deployed on AWS EC2 with Aurora PostgreSQL; implemented logging/monitoring with CloudWatch, Splunk, and OpenShift metrics. Managed source control with GitHub/GitLab and built CI/CD pipelines for automated releases.
Developed Angular UI components with TypeScript, Angular Material, and Bootstrap, optimizing UI load times by 30% and ensuring cross-browser compatibility for audio/video features. Implemented dynamic routing and AJAX data binding to drive tables, modals, and grids, reducing manual refreshes by 40%. Built enterprise backend modules in Java/J2EE (Spring Boot, Spring MVC, EJB, Struts, JSP, JDBC) using Singleton and Session Facade patterns, increasing service reuse and reducing code redundancy by 25%. Integrated Node.js for server-side logic and asynchronous REST calls to improve responsiveness by 20%. Created integration routes over RabbitMQ to enable reliable, fault-tolerant inter-service communication. Developed ABCD simulation framework in Python with LangGraph and OpenAI GPT-4 mini streaming API to simulate dialogues between an AI Therapist and AI Patient. Deployed on AWS EC2 with Aurora PostgreSQL, enabling online access and cloud reliability. Implemented logging/monitoring across A
Designed and developed an enterprise digital-health pharmacy web app as Java 8+ microservices using Spring Boot/Spring MVC/Spring Cloud; applied Singleton and Session Facade patterns, built with Maven, and deployed WAR to Tomcat. Implemented pharmacist/admin UIs with JSP, jQuery, Bootstrap, and AJAX to streamline workflows. Optimized persistence with JPA/Hibernate on PostgreSQL and Redis caching, improving query performance. Built Kafka-based real-time pipelines and Spark Structured Streaming for claims and Rx data, reducing manual validation. Developed secure REST APIs with Spring Security, OAuth 2.0, and JWT to meet HIPAA/PCI controls. Implemented gRPC microservices for dispensing, billing, and ledger, with compressed payloads. Migrated monolithic apps to cloud-native AWS and GCP architectures; automated batch processing with Spring Batch and CRON for 600k+ items daily. Established CI/CD with Jenkins, Maven/Gradle, Docker, Terraform, OpenShift; implemented observability with CloudWat
Education
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