Lakshmi Devara

Software Developer at FastModel Sports

Owned and developed the Fast Intelligence micro-service utilizing Java 17, Kotlin, Spring Boot, and Spring AI. Integrated OpenAI APIs into applications for enhanced functionality. Developed, maintained, and scaled multiple microservices (Fast Scout, Fast Recruit, Fast Draw) handling core business logic with loose coupling. Created a multi-threaded real-time data processing application using Java concurrency APIs and ExecutorService. Leveraged Kafka to build efficient athlete transfer pipelines. Established CI/CD pipelines with Jenkins, Kubernetes, and Git, improving deployment efficiency. Actively participated in Agile/Scrum ceremonies and implemented robust unit and integration tests using JUnit and Mockito. Contributed reusable Redux slices to manage complex front-end states and API interactions, enhancing maintainability and performance.

Software Developer at Cognizant

Designed and developed Product Catalog and Order Processing microservices from a monolithic system using Spring Boot, AWS, gRPC, Kafka, Redis caching, and API rate limiting. Applied multithreading with Java ExecutorService for concurrent inventory updates and order processing under high load. Implemented core Java coding including Collections, Multithreading, Exception Handling, Generics, and I/O APIs for business logic. Worked closely with UX teams to build dynamic forms and UI components with RxJS and Angular, leveraging Figma for wireframing. Developed secure REST APIs integrating payment gateways and internal services. Wrote production-grade code with proper exception handling, logging, and unit testing using JUnit and Mockito. Created frontend modules in Angular 12 supporting dashboards and AI insights. Collaborated with Data Science teams to deploy ML models using Flask APIs in containerized environments and integrated AI recommendations into dashboards, improving user engagement

Web Developer at TLC India

Automated code quality checks with SonarQube and built CI/CD workflows using GitHub Actions to improve deployment efficiency. Leveraged AWS Lambda for scheduled report generation along with CloudWatch and Datadog for monitoring and alerting. Resolved critical permission issues for client logs via VPN access and server configuration. Developed Angular and Node.js web applications for loyalty program dashboards used by major hotel chains. Designed backend services using Java Spring Boot and Node.js Express to manage reward redemptions and membership tiers. Used PostgreSQL and MongoDB efficiently, including index optimization for handling large datasets. Built ETL pipelines in Python using Pandas and PySpark for loyalty analytics. Implemented JWT authentication and OAuth2 with refresh token rotation for secure sessions.

Software Developer at FastModel Sports

Developed and fully owned the Fast Intelligence microservice using Java 17, Kotlin, Spring Boot, and Spring AI, integrating OpenAI APIs for advanced functionality. Maintained key microservices including Fast Scout, Fast Recruit, and Fast Draw, focusing on loose coupling and scalability. Built a multi-threaded real-time game data processing application using Java concurrency APIs. Created Kafka pipelines for athlete data transfers across leagues. Automated CI/CD pipelines with Jenkins, Kubernetes, and Git, improving delivery efficiency. Played an active role in Agile teams and implemented robust unit and integration tests to maintain software stability and performance. Enhanced frontend state management using Redux slices for improved UI maintainability.

Software Developer at Cognizant

Led design and development of Product Catalog and Order Processing microservices transforming a monolithic app using Spring Boot, AWS, gRPC, Kafka, Redis caching, and API rate limiting. Leveraged Java concurrency to enable efficient parallel inventory updates and order processing. Developed dynamic forms and reusable UI components with Angular and RxJS, collaborating with UX designers to refine wireframes using Figma. Built secure RESTful APIs integrating ML recommendations and external payment gateways. Integrated AI models into platforms using Flask and containerization. Applied exception handling, logging, and unit testing to ensure high quality production code. Delivered AI-based product personalization features and created Angular and Power BI dashboards for credit and sentiment insights.

Web Developer at TLC India

Automated code quality checks using SonarQube and implemented CI/CD pipelines with GitHub Actions, improving deployment reliability. Used AWS Lambda and monitoring tools to enhance observability and alerting for reporting services. Addressed critical permission issues through server access management. Collaborated with designers to build feature-rich Angular and Node.js applications for loyalty program dashboards. Designed backend services in Java and Node.js to manage reward redemptions and membership tiers. Managed structured and unstructured data storage with PostgreSQL and MongoDB, optimizing for high volume. Developed ETL data pipelines in Python for loyalty analytics. Integrated secure JWT and OAuth2 authentication for web and mobile platforms.

Software Developer at FastModel Sports

Fully owned the Fast Intelligence microservice, developed using Java 17, Kotlin, Spring Boot, Spring AI, and Python-integrated OpenAI APIs for Fast Scout and DIME. Built and maintained Fast Scout, Fast Recruit, and Fast Draw microservices to support core business logic with loose coupling and independent scalability. Implemented a multi-threaded DIME data processing application for real-time games data using ExecutorService. Built athlete transfer pipelines across leagues using Kafka and enabled seamless adoption of games and events data. Established CI/CD pipelines with Jenkins and Kubernetes, and Git-based automated builds/deployments. Collaborated in an Agile/Scrum team; authored robust unit and integration tests (JUnit, Mockito). Developed frontend state management constructs with Redux to support complex UI interactions.

Software Developer at Cognizant

Designed and developed Product Catalog and Order Processing microservices from a monolithic application, leveraging Spring Boot, AWS, gRPC, Kafka, Redis caching, and API rate limiting; incorporated multithreading with Java’s Executor Service for concurrent inventory updates and high-load order processing. Implemented dynamic forms, REST APIs, and secure integration with frontend apps, external payment gateways, and internal data services. Applied exception handling, logging (Log4j/SLF4J), and unit testing (JUnit, Mockito). Built front-end modules using Angular; integrated AI-driven recommendations (Python/ Flask) into production via containerized services. Integrated AI results into Power BI dashboards and Angular components for risk and sentiment visualization. Collaborated with Data Science teams to deploy ML models and containerized services on cloud environments (AWS).