Kathan Shah

About Kathan Shah

I’m a Full-Stack Engineer with 2+ years of experience building and optimizing production-grade systems in fintech environments.I specialize in designing and maintaining scalable REST APIs, improving database performance, and ensuring production reliability across Node.js, React, MongoDB, PostgreSQL, and AWS.Currently:• Maintaining 40+ REST APIs serving internal and external users• Handling 50k+ daily requests across data-intensive workflows• Designing transactional systems in both SQL and NoSQL environments• Implementing RBAC-based access control logic• Deploying services via Docker, ECS (Fargate/EC2), and LambdaEngineering Impact:• Reduced API latency by ~66% using MongoDB BulkWrite and indexing optimization• Resolved production data inflation caused by incorrect SQL joins through rapid root cause analysis• Implemented retry logic, caching, pagination, and structured error handling for reliabilityI care deeply about:• Clean architecture• Performance optimization• Production ownership• Coding standards & mentorship• Cloud-native system designCurrently expanding into strongly typed backend ecosystems (Java / C++) and distributed systems design.Open to backend-heavy SDE roles focused on scalable systems.Core Expertise:Scalable Web Applications• Distributed Systems • RESTful API Development • Frontend Architecture • Production Reliability & Optimization • Cloud-Native Development

Experience

1. Software Engineer

   Kfin Technologies Ltd

   Jul 2024 — Present · Hyderabad, IN

   Designed and maintained 40+ RESTful APIs serving internal and external stakeholders, handling 50k+ daily requests across data-intensive workflows.• Optimized MongoDB write-heavy operations using BulkWrite and indexing strategies, reducing API latency from 30s to under 10s.• Implemented transactional workflows across MongoDB and PostgreSQL, ensuring data consistency and integrity.• Designed RBAC-based authorization systems and developed complex SQL joins, aggregations, and pagination queries.• Improved system reliability through retry mechanisms, structured logging, standardized error handling, caching strategies, and input validation.• Built asynchronous processing pipelines using AWS SQS to decouple services and improve scalability.• Containerized backend services using Docker and deployed via AWS EC2, ECS (Fargate/EC2), and Lambda-based architectures.• Collaborated with cross-functional teams and mentored junior developers, contributing to code reviews and maintaining coding standards.

Education

• Dhirubhai Ambani University

  Bachelor of Technology - BTech, Information Technology