Pritish Sheth

Software Engineer

Bengaluru, Karnataka, India3 yrs 10 mos experience

Highly Stable

Key Highlights

Led development of key FinTech modules at Oracle.
Improved API throughput by 40% through backend optimizations.
Built side projects integrating ML for predictive analytics.

Stackforce AI infers this person is a Full Stack Developer specializing in Fintech applications with strong backend and frontend capabilities.

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Skills

Core Skills

Full-stack DevelopmentJavaSpring Framework

Other Skills

GitData StructuresMachine LearningViteReact.jsVersion ControlSQLProduct ServiceOracle DatabaseJavaScriptSoftware DevelopmentREST APIsPL/SQLKnockoutJSC (Programming Language)

About

Passionate Full Stack Developer with 2+ years of experience building scalable, high-performance web applications in the FinTech space. At Oracle, I’ve led end-to-end development of modules like Virtual Account Management and Liquidity Management in OBDX, optimizing backend APIs and enhancing UI performance significantly. I thrive at the intersection of backend logic and frontend experience, using tools like React, Spring Boot, and Kafka, with strong CI/CD practices (Docker, K8s, Jenkins). Outside work, I build side projects like a full-fledged MCQ test platform and dashboards integrating ML models for predictive analytics.

Experience

3 yrs 10 mos

Total Experience

3 yrs 4 mos

Average Tenure

6 mos

Current Experience

Servicenow

Software Engineer

Nov 2025 – Present · 6 mos · Hybrid

GitData StructuresSpring FrameworkMachine LearningViteReact.js+21

Oracle financial services software limited

Associate Application Developer

Jul 2022 – Nov 2025 · 3 yrs 4 mos · Bengaluru, Karnataka, India

1. Spearheaded the development of Virtual Account Management & Liquidity Management modules in OBDX, delivering 50+ user stories and reducing turnaround time by 25%.
2. Built RESTful APIs in Java (Spring Boot) for high-volume transaction processing, improving API throughput by 40%.
3. Revamped UI with Oracle JET & JavaScript, resolving 35+ bugs and boosting front-end performance by 30%.
4. Integrated Kafka for real-time event-driven architecture and optimized CI/CD pipelines using Jenkins, Docker, and Kubernetes – cutting deployment times by 50%

Product ServiceSQLJavaSpring Framework