Rishabh Singh

Technical Skills

Languages: Python, Java, SQL (MySQL, PostgreSQL), NoSQL (MongoDB)
Frameworks: Flask, Django, Django Rest Framework, SpringBoot, Microservices, REST APIs, Low Level Design, High Level Design
Developer Tools: AWS (EC2, Lambda, S3, Dynamo), CI/CD, Jenkins, Docker, Git, SONAR

Experience

Morgan Stanley Oct-23 - Present
Software Engineer (Contingent worker employed by Wissen Tech.)
Bengaluru, India
  • Led key initiatives within the Risk Analytics Platform Development team, contributing to the design and development of shared systems and libraries across Risk Analytics Stripes.
  • Worked on the enhancement of the ETL process framework developed in Python, implementing parallel component execution capabilities. This optimization resulted in 70 percent reduction of component runtime, improving overall model efficiency and developer's productivity.
  • Expanded the Run Registry system to support multiple model families, enhancing its versatility beyond its original single-family scope.
  • Successfully orchestrated the comprehensive migration of the entire platform from Python 3.7.5 to Python 3.10.
  • Maintained high code quality standards by conducting daily code reviews adhering to PEP8 guidelines.
Capgemini Jun-22 - Oct-23
Associate Consultant
Bengaluru, India
  • Implemented and extended automation capabilities using Django framework and MicroFocus OO Orchestrator.
  • Streamlined deployment of automation bots developed with Python, resulting in a 50% reduction in manual efforts.
  • Leveraged Docker and Git for development automation, reducing deployment time by 40%.
  • Rigorously tested and optimized version 1.0 of the application, achieving 95% efficiency in bot deployment.
Capgemini Oct-20 - Jul-22
Senior Analyst
Bengaluru, India
  • Engineered and enhanced over 10 Python automation bots that improved manual processes.
  • Quickly identified and fixed software problems, helping users resolve issues.

Education

National Institute of Technology Patna Aug-16 - Jun-20
Bachelors of Technology, Department of Electrical Engineering
C.G.P.A.: 7.47/10