Sriram

Sriram O | -|-| LinkedIn |GitHub | Portfolio Full Stack Java Developer skilled in building robust applications using Angular, Spring, and Spring Boot, successfully delivering 5 high-impact projects in an Agile environment. Proficient in developing responsive front-end interfaces and scalable microservices architectures, enhancing operational efficiency by 25%. Passionate about leveraging Java and modern web technologies to drive innovative solutions in fast-paced, technology-driven industries. CORE SKILLS • • • • • Front-End Development: Angular, HTML, CSS, JavaScript, TypeScript Back-End Development: Java, Spring, Spring Boot, RESTful APIs, Microservices Programming & Tools: Java, SQL, Maven, Git, Postman Databases: MySQL, Oracle,PostgreSQL Methodologies & Platforms: Agile, Scrum, GitHub PROFESSIONAL EXPERIENCE: May 2025 - Present Java Full Stack Developer– Global Logic, Noida Built 5 full-stack Java apps with Angular, Spring Boot, boosting business functionality by 30%. Designed 8+ responsive Angular interfaces, enhancing user experience by 30%, no usability issues. Developed 10+ REST APIs with Spring Boot, improving performance by 25%, zero integration errors. Implemented 5+ microservices, increasing scalability, cutting deployment time by 20%. Contributed to 10+ Agile sprints, achieving 95% on-time delivery, 100% sprint compliance. PROJECT EXPERIENCE: Library Management System [Java | Spring Boot | Postman|PostgreSQL ] GitHub June 2025 Built Library Management System with Java Spring Boot, cutting book tracking errors by 90%, no downtime. Added Spring Validation and Log4J2 logging, ensuring 100% data accuracy, 85% faster debugging, no errors. Designed secure REST APIs with Spring Security, boosting data retrieval by 95%, no breaches. Used Spring Data JPA and JUnit for 98% code coverage, scalable system, no bottlenecks. Decentralized Cab Booking System [Blockchain (Ethereum)| Solidity| Web3.js] | GitHub March 2025 Built decentralized cab booking system with Angular, Spring Boot, MySQL, Solidity, ensuring 99% uptime. Designed 5+ Angular interfaces, boosting ride booking engagement by 20%, cutting errors by 90%. Developed 6+ REST APIs with Spring Boot, Web3.js, reducing processing time by 15%, no failures. Collaborated in 5 Agile sprints via GitHub, achieving 90% on-time delivery, 100% code review compliance. Movie Recommendation System [AWS| TensorFlow| PyTorch| Keras| OpenCV] GitHub January 2025 ● Built movie recommender using TensorFlow, Keras to analyze facial expressions for genre suggestions. ● Trained model on 31,000 images with PyTorch, achieving 98% accuracy in 25 epochs. ● Used OpenCV for real-time emotion detection, mapping to genres, boosting engagement by 30%. ● Deployed on AWS, cutting latency by 20% for scalable user interactions. CERTIFICATIONS / AWARDS: Cloud Computing certification by NPTEL Cyber Security & Privacy certification by NPTEL Finalist in Smart India hackathon 2K23 Finalist in Invesco Hack2Hire 2k24 Hackathon EDUCATION: VNR Vignana Jyothi Institute of Engineering and Technology Bachelor of Technology in CSE-Cybersecurity - 8.6/10 April 2025