Chinmay Pant

Software Engineer

Bengaluru, Karnataka, India2 yrs 10 mos experience

Highly Stable

Key Highlights

Improved regression test pass rates to over 80%
Reduced customer bug backlog significantly
Achieved 80%+ code coverage ensuring software quality

Stackforce AI infers this person is a Backend Developer with expertise in SaaS and microservices architecture.

Contact

pant.chinmay2000@gmail.com LinkedIn

Skills

Core Skills

JavaMicroservices

Other Skills

Systems DesignCucumberGroovyJUnitJMockitGitC++Data StructuresMultithreadingSpring FrameworkGitlabObject-Oriented Programming (OOP)Apache KafkaJava Database Connectivity (JDBC)Hibernate

About

I’m a Backend Developer with 2 years of experience building and optimizing enterprise applications. Currently at Oracle, I work on large-scale systems where I’ve contributed to improving product reliability, reducing customer bug backlogs, and enhancing test automation. My experience spans Java, C++, Spring , REST APIs, JUnit, JMockit, Cucumber, Groovy, and SQL, with a strong focus on microservices and monolithic architecture, debugging, and system performance. Alongside my core development skills, I actively leverage AI-powered tools like Oracle Cloud Assist to boost productivity, streamline workflows, and speed up problem resolution. I enjoy solving challenging backend problems — from improving regression test pass rates to extending logging frameworks for APIs and increasing code coverage for stable releases. Outside of work, I’m passionate about competitive programming and have achieved strong ratings on LeetCode, CodeStudio, and CodeChef, which keeps me sharp in algorithms and problem-solving. I’m looking for opportunities as a Backend Developer where I can contribute to designing and scaling reliable systems while continuing to grow my technical expertise.

Experience

2 yrs 10 mos

Total Experience

2 yrs 10 mos

Average Tenure

2 yrs 10 mos

Current Experience

Oracle

2 roles

Associate Software Developer

Aug 2023 – Present · 2 yrs 10 mos

Project- Elastic Charging Engine (ECE)
Developed and deployed the SNR logic within the Elastic Charging Engine (ECE) to trigger automated notifications on Policy-Tier changes, improving system responsiveness for 100K+ subscribers.
Reduced customer bug backlog from 114 to 39 by collaborating with the escalation team, directly boosting product reliability and increasing customer satisfaction scores.
Increased regression suite pass rates from ~60% to 80%+ by optimizing test automation frameworks with Cucumber and Groovy, significantly reducing release-cycle issues.
Enhanced API performance monitoring by extending the Time-Logging Framework, enabling early detection of SLA breaches and reducing API response-time escalations by 30%.
Achieved 80%+ code coverage using JUnit and JMockit, ensuring higher software quality and reducing production defects.
Accelerated bug resolution by ~25% through effective use of AI-powered tools like Oracle Cloud Assist, which automated repetitive debugging and code review tasks.
Collaborated with 5+ cross-functional teams to debug P2/P3 production issues, ensuring stability across microservices-based architecture.

JavaSystems DesignMicroservices