Anirudh Mittal

Led the development and optimization of high-scale, low-latency systems within the telecom domain, driving significant improvements in usability, performance, and operational efficiency.

• Revamped GPON Service Creation & Activation interface using React.js, JavaScript, and TypeScript, significantly enhancing usability and adoption among major ISPs serving millions of subscribers nationwide.
• Led end-to-end development of NMS/EMS application, integrating React.js frontend with Spring Boot microservices via RESTful APIs, improving overall application performance by 25%.
• Architected and deployed modular, scalable microservices using Java, Spring Boot, and AWS, ensuring high availability and fault tolerance in production environments.
• Engineered event-driven infrastructure utilizing Kafka for real-time data processing, boosting system responsiveness and operational efficiency.
• Refactored legacy codebase, reducing technical debt and accelerating feature delivery by 20%; concurrently mentored a team of 3 junior engineers, significantly enhancing team productivity.

Developed and optimized Java-based software solutions for major banking clients, automating manual processes and improving system resource utilization.

• Developed scalable Java-based software solutions for major banking clients, automating manual processes via optimized SQL procedures, reducing workload and server utilization by 30%.
• Delivered comprehensive and detailed documentation for complex systems, improving knowledge transfer efficiency by 40% across the team.
• Contributed to critical financial software development lifecycle, ensuring robust and compliant solutions for high-stakes banking operations.

Built a user-friendly payment system, integrating essential payment functionalities for secure transactions.

Single-handedly developed a robust backend for an influencer marketplace, connecting brands with influencers.

Received two Certificates of Appreciation from Tejas Networks for exceptional contributions to projects and team success.

Recognized for exceptional problem-solving skills and algorithmic proficiency with a 5-Star Gold Badge on HackerRank.

Demonstrated strong algorithmic and data structure proficiency by successfully solving over 450 problems on LeetCode.

Authored and published a research paper titled 'Text Sequence Prediction using RNN,' contributing to the field of machine learning.

Completed a certified internship at Capgemini, gaining practical experience in Java, Spring Boot, Angular, JavaScript, and JPS.

Earned a certificate from E-box demonstrating proficiency in advanced data structures and algorithms.