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Pranav Mule

Pranav Mule

Backend-focused Full Stack Developer with 2+ years at Tata Consultancy Services in the BFSI domain

Talent
PuneMember since August 12, 2026
JavaTypeScriptSQLSpring BootJWT AuthenticationReact.jsMySQLPostgreSQLIndexingDockerCI/CDDebuggingRCAAI Integration
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JavaTypeScriptSQLSpring BootJWT Authentication

About

Backend-focused Full Stack Developer with 2+ years at Tata Consultancy Services in the BFSI domain — building production-grade systems demanding real-money reliability, zero-downtime SLAs, and rigorous incident management. Proficient in Java, Spring Boot, RESTful APIs, MySQL, PostgreSQL, Docker, and JWT authentication. Proven track record resolving 15+ production incidents with zero SLA breaches via structured RCA and Java debugging.

Strong

React.js skills for full-stack delivery. Currently learning AI integration and building AI-powered applications.

Experience

Software Engineer at Tata Consultancy Services (2024-03 – 2026-05)

BFSI Domain

  • Developed and maintained Java Spring Boot backend services for core BFSI banking workflows — designed RESTful API endpoints, service-layer business logic, and data-access layers handling critical financial operations across multiple production modules.
  • Implemented JWT-based authentication and role-based authorization across customer, operations, and admin roles — securing API endpoints and enforcing access control across enterprise banking systems.
  • Resolved Service Requests (SRs) and Change Requests (CRs) by performing systematic Java debugging — traced execution flows, analyzed stack traces, identified root fixes, and consistently delivered within SLA turnaround commitments in a 24x7 environment.
  • Performed structured Root Cause Analysis (RCA) for 15+ high-severity production incidents — including API failures, Spring Boot service crashes, SQL deadlocks, and data inconsistencies — implementing preventive fixes and maintaining zero critical SLA breaches.
  • Optimized MySQL query performance and database schemas for financial reporting and validation pipelines — rewrote N+1 queries, introduced composite indexes, and improved query execution speed for high-volume banking data operations.
  • Optimized React.js frontend across 2+ enterprise banking modules via code-splitting, lazy loading, and API batching — achieving ~50% reduction in page load times; containerized applications with Docker and maintained CI/CD pipelines across dev, QA, and production.

Education

Bachelor of Technology – Vellore Institute of Technology (VIT) (2019 – 2023)

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