Akhil Katkam

Master's

Computer Science

Scale AI

Full Stack Developer

- Responsibilities - Led the evaluation and optimization of AI-generated code, employing advanced knowledge of Java to improve system intelligence and performance - Designed and implemented RESTful APIs using Java Spring Boot and Node.js, enabling seamless integration and communication between AI models and application front-end - Designed and executed comprehensive test suites in JavaScript/TypeScript with Jest, achieving over 70% coverage, ensuring application robustness and reliability - Led the conversion of front-end frameworks from JavaScript to TypeScript, leveraging React to enhance UI functionality and maintainability - Developed UI using HTML5, CSS3, Ext JS, jQuery for interactive cross browser functionality and complex user interface - Played a pivotal role in the refactoring and modernization of legacy codebases, transitioning monolithic architectures to microservices using Java, resulting in a 30% increase in scalability and efficiency - Drove quality assurance initiatives by conducting meticulous code reviews in Java, ensuring code quality and adherence to best practices - Collaborated in a cross-functional team to design and deploy a real-time data processing application, which streamlined operations and increased productivity by 20 - Utilized Docker and Jenkins for efficient CI/CD pipelines, ensuring seamless and frequent updates to applications with minimal downtime - Participated in agile development cycles, including planning, sprints, and retrospectives, enhancing team efficiency and project turnaround time - Optimized existing Java codebase for AI-driven applications, improving performance and scalability to handle increased AI computational loads - Architected and implemented a Java microservices framework to support AI-driven modules, enabling modular updates and enhancements without downtime and improving service reliability by 30 - Utilized Java to implement complex algorithms that significantly reduced the computational cost of machine learning models, making the models more efficient and reducing processing time by 50 - Actively involved in mentoring junior developers, fostering a collaborative team environment and enhancing collective technical expertise - Environment: Eclipse, Visual Studio Code, Git, Maven, Docker, JIRA, Spring Boot, ReactJS, HTML5, CSS3, JavaScript, Angular 10, Angular.JS, Node.JS, JMS