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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.…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.

Krishnaveni Maram

Full Stack Developer, Web Developer, Front-End Developer, +2

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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.…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.

Available to hire

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.

Skills

Experience Level

Expert

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Language

Javanese

Fluent

Work Experience

Sr. Full Stack Developer - Research Assistant at Brain And Aphasia Recovery Lab, USF

May 1, 2025 - September 12, 2025

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.

Senior Full Stack Developer - Research Assistant at Brain And Aphasia Recovery Lab, University of South Florida

May 1, 2025 - September 12, 2025

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

Java Software Developer at Accenture, India

August 1, 2023 - September 12, 2025

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

Java Software Developer at Accenture

August 1, 2023 - September 12, 2025

Designed and developed an enterprise digital-health pharmacy web app as Java 8+ microservices on Spring Boot/Spring MVC, Spring Cloud, using Singleton and Session Facade patterns; built with Maven; deployed as WAR to Apache Tomcat. Reduced code redundancy by 25% via reusable services. Implemented pharmacist/admin UIs with JSP, jQuery, Bootstrap, AJAX, reducing average clicks-to-complete by 22% and median page load by 33%. Optimized persistence via JPA/Hibernate on PostgreSQL with Redis caching, improving query performance by 20% and reducing transaction latency by 20ms. Built real-time pipelines with Kafka/Spark Structured Streaming for pharmacy claims, payments, Rx data; cutting manual validation by 35% and enabling near-instant reconciliation. Developed secure REST APIs with Spring MVC, Spring Security, OAuth 2.0, and JWT; reduced unauthorized access by 35% and aligned with HIPAA/PCI compliance. Implemented gRPC microservices for dispensing, billing, and ledger flows; reduced Protobu

Software Engineer at HCL, India

July 1, 2021 - September 12, 2025

Developed and maintained full-stack banking application using JavaScript (ES6+) frontend and Java/J2EE backend (Spring Boot, Spring MVC, EJB, Struts, JSP, JDBC); implemented RESTful APIs secured with Spring Security, OAuth 2.0, and JWT, reducing unauthorized access. Designed MVC architecture with JDBC/Hibernate; optimized transaction history storage in Azure Cosmos DB (MongoDB API) with indexed fields for performance. Built responsive React components with Material-UI for account dashboards showing real-time transactions. Used multi-threading to refresh balances across sessions, reducing UI latency. Migrated legacy batch system to event-driven architecture using Apache Kafka, enabling near real-time fraud detection. Secured payment data pipelines with SSL/TLS, SASL, and Kafka ACLs, and established inter-service messaging with RabbitMQ. Migrated GitLab CI/CD to Azure Jenkins; participated in Agile/Scrum; implemented distributed tracing with OpenTelemetry; developed BDD/TDD tests with Cu

Software Engineer at HCL Technologies

July 1, 2021 - September 12, 2025

Developed full-stack enterprise Banking financial application using JavaScript (ES6+) for front end and Java/J2EE (Spring Boot, Spring MVC, EJB, Struts, JSP, JDBC); architected secure modules for accounts, transactions, and real-time balance updates. Implemented RESTful APIs secured by Spring Security, OAuth 2.0, and JWT; improved unauthorized access by 30%. Designed MVC architecture and JDBC/Hibernate for efficient querying of account data. Optimized transaction history storage in Azure Cosmos DB (MongoDB API) via indexed fields for account ID and timestamp, speeding retrieval. Built responsive React components with Material-UI for account dashboard, displaying live transaction lists and balances. Used multi-threading to parallelize balance refresh and transaction updates across sessions, reducing UI latency by 40%. Migrated legacy batch to event-driven Kafka-based processing, cutting data processing time from hours to seconds and enabling near real-time fraud detection. Secured a pay