Keshav Singhal

About Keshav Singhal

I’m Keshav Singhal, a passionate Software Developer with 3+ years of experience in building high-performance applications. I specialize in Java, Spring Boot, and Microservices, designing scalable backends and optimizing system performance. With expertise in AWS, Docker, Kubernetes, and CI/CD, I ensure seamless deployments and cloud-native solutions. On the front end, I work with React.js, Angular, and TypeScript to create interactive and responsive user interfaces. I thrive in Agile environments, solving complex challenges with a performance-driven mindset. My skills in database optimization (MySQL, PostgreSQL, MongoDB, Redis) and secure API development (OAuth2, JWT) help build robust, data-driven applications. Beyond coding, I enjoy participating in tech hackathons and competitive programming, always eager to learn and innovate. I hold a Master’s in Computer Science from Cleveland State University and a B.Tech from Thapar University.

Experience

1. Software Developer

   Fifth Third Bank

   Dec 2023 — Present · US

   Designed financial applications using Java, Spring Boot, and Quarkus, optimizing request processing, implementing multi-threading, and enhancing security to improve system reliability by 50% while reducing response times. Developed secure RESTful and GraphQL APIs with Micronaut, enforcing authentication mechanisms, applying rate limiting, and ensuring proper input validation to achieve 99.9% uptime and strengthen data protection. Engineered front-end applications using React.js, Angular, and TypeScript, refining component reusability, state management, and lazy loading strategies to enhance UI performance and improve user engagement. Implemented event-driven architectures with Kafka, RabbitMQ, and WebSockets, optimizing real-time messaging, streamlining consumer groups, and reducing latencies to process live data more efficiently and accurately. Deployed applications on AWS and GCP, configuring auto-scaling, optimizing resources, and using serverless computing to reduce costs. Optimized relational and NoSQL databases like PostgreSQL, MySQL, and Redis, refining query indexing, tuning connection pooling, and implementing caching layers to improve query performance by 40% while reducing system downtime. Automated infrastructure provisioning with Terraform and Kubernetes, configuring Helm charts, enforcing role-based access controls, and streamlining deployments to reduce manual errors and improve system stability. Integrated ELK Stack and Prometheus, setting alerts, visualizing metrics, and optimizing logs to improve detection and cut resolution time by 40%.

Education

• Cleveland State University

  Master of Science - MS

  2021 — 2024

• Thapar Institute of Engineering and Technology

  Bachelor of Technology - BTech

  2016 — 2020