Rahul Bhatt is a software engineer with 8 years of industry experience, specializing in secure, scalable systems for Finance (Compliance & RegTech) and currently working at Morgan Stanley. He has built enterprise-grade customer onboarding, risk analysis engines, and multi-tenant SaaS platforms, with deep technical focus on multitenancy, distributed microservices, cloud-native design, and CI/CD automation. Rahul is proficient in Java (Spring Boot), .NET Core, Azure, Kubernetes, Docker, Kafka and PostgreSQL, and routinely optimizes performance and observability across hybrid/multi-cloud environments. He has taken on both hands-on engineering and people-centric roles—serving as reporting manager and scrum master—bringing an operator’s mindset to delivery and team coordination. Colleagues value his emphasis on clean architecture and pragmatic solutions that balance security and scalability for production systems. Based in Thane, Maharashtra, he combines enterprise banking domain expertise with a pragmatic drive to simplify complex engineering problems.
8 years of coding experience
4 years of employment as a software developer
Diploma in Computer Science Computer Science, Diploma in Computer Science Computer Science at Thakur Polytechnic
Bachelor of Engineering - BE Information Technology, Bachelor of Engineering - BE Information Technology at St. Francis Institute Of Technology
The repository "ai-analysis-for-leetcode" is a project that utilizes AI to analyze LeetCode profile. It is primarily written in Python, with some HTML and Dockerfile components.
Contributions:60 PRs, 95 pushes, 16 branches in 1 month
Contributions:1 push, 1 branch in 2 years 4 months
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