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Bhoomika JaimanBJ
Looking for a job

Bhoomika Jaiman

@bhoomikajaiman

I build responsive React and Spring Boot applications that improve customer journeys and operational efficiency.

India
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What I'm looking for

I'm looking to build scalable, customer-focused software where I can improve user journeys, automate workflows, collaborate across frontend and backend teams, and continue growing through challenging engineering work.

At Barclays, I modernize customer-facing applications by migrating legacy UI to ReactJS and integrating it with Spring Boot APIs and IBM DB2. My work reduced page load times by 35% and improved accessibility for 10K+ monthly users.

I delivered real-time case onboarding flows that let customers receive case IDs instantly and upload multiple documents, reducing SLA from over five days to real time. I also built a shared API service that enabled 10+ teams to securely consume DB2 data while reducing integration effort by about 40%.

I create reusable UI components and shared libraries that cut duplicate code by roughly 50%, and I partner with backend engineers on API contracts, error handling, and production reliability. These efforts supported 99.9% uptime and response times below 300ms.

I also built Jenkins-based CI/CD automation and ELK observability dashboards during my Barclays internship. Beyond delivery, I led a five-engineer team to first place in a company-wide code-a-thon and organize monthly knowledge-sharing sessions.

Experience

Work history, roles, and key accomplishments

Barclays logoBA

Software Developer Intern

Jun 2022 - Jul 2022 (1 month)

Designed and implemented a CI/CD pipeline using Jenkins integrated with GitHub webhooks, enabling automated build and deployment workflows. Developed scalable ELK-based observability dashboards to track and visualize customer journey data.

Education

Degrees, certifications, and relevant coursework

Mody University of Science and Technology logoMT

Mody University of Science and Technology

Bachelor of Technology, Computer Science and Engineering (AI & ML)

2019 - 2023

Grade: 7.79 CGPA

Pursued a Bachelor of Technology in Computer Science and Engineering with a focus on AI and ML, achieving a CGPA of 7.79.

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