Rishabh Singh

Software Engineer

India2 yrs 3 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in Java and Spring Boot for back-end development.
Proven experience in CI/CD optimization and deployment.
Strong foundation in application development and problem-solving.

Stackforce AI infers this person is a Fintech-focused Software Engineer with expertise in back-end development and CI/CD processes.

Contact

Skills

Core Skills

Application DevelopmentBack-end Web Development

Other Skills

API DevelopmentASP.NETAmazon Web Services (AWS)Android DevelopmentAngularAnsibleApacheApache OozieAppDynamicsApplication Programming Interfaces (API)Artificial Intelligence (AI)Augmented Reality (AR)BlockchainBootstrapBusiness Requirements

About

A Software Engineer at HSBC with a BTech in Computer Science & Engineering. Brings a strong foundation in application development and proficiency in Java, GoLang & Spring Boot to the role. With prior experience as an intern at Morgan Stanley, contributes technical knowledge and dedication to every project. Committed to leveraging skills to create impactful solutions in the tech industry.

Experience

2 yrs 3 mos

Total Experience

2 yrs 3 mos

Average Tenure

2 yrs 3 mos

Current Experience

Hsbc

Software Engineer

Mar 2024 – Present · 2 yrs 3 mos · Pune, Maharashtra, India · On-site

Automated and maintained financial message conversion workflows using Java 8 and Spring Boot.
Designed scalable back-end systems and integrated message processing across different platforms.
Gained hands-on experience with deployment using IKP, Jenkins, and Kubernetes, while monitoring production logs through Splunk.
Contributed to improving application efficiency and reducing downtime through continuous integration and continuous deployment (CI/CD) optimization.
Collaborated closely with the Quality Assurance (QA) team for automated testing and regression verification using Selenium.

JavaSpring BootJenkinsKubernetesSplunkCI/CD+2

Morgan stanley

Intern

Dec 2023 – Feb 2024 · 2 mos · Remote

Implemented robust production log filtering and alerting in Splunk to effectively detect high-latency message conversions.
Proactively minimized the attack surface by enforcing stringent DB-level access constraints and comprehensive input validation.
Significantly enhanced endpoint performance and observability through targeted contributions.

SplunkDB-level access constraintsInput validation