20BAI4043-SREE YAZHINIMIRA L M YAZHINIMIRA L M
Software Engineer
About
Software Engineer with 2+ years building and supporting enterprise-scale applications in Python and Pega, with hands-on experience in REST/SOAP API integration, workflow automation, and backend troubleshooting with SQL. Resolved 150+ production incidents while maintaining 97% SLA compliance, and built automation scripts that reduced manual effort by 20%. Comfortable across the stack: API integration, data modelling, debugging, and root-cause analysis. Seeking a Software Engineer role to apply strong problem-solving, coding, and system-design fundamentals to build scalable products.
Skills & Expertise (19)
Work Experience
Pega Developer
TATA Consultancy Services (Citi Bank)
Aug 2024 - Present
Designed and built 12+ enterprise-scale Pega case types and workflows for core banking processes, supporting 5,000+ daily transactions with high availability and regulatory compliance. Engineered REST and SOAP API integrations connecting Pega workflows to 6 external banking systems, enabling seamless data exchange and cutting manual reconciliation effort by 25%. Configured decision tables, decision trees, declarative rules, and reusable rule sets, reducing case-processing time by 20%. Translated complex requirements from business analysts into efficient case types, stages, and data models across 8 projects/releases. Performed unit testing, defect analysis, and root-cause troubleshooting, reducing production defects by 15% across environments. Provided L2/L3 production support, resolving 25+ critical incidents per month within SLA via ServiceNow, maintaining 98% SLA compliance. Led deployments from non-production to production, including retrofit processes during parallel releases, across 6 release cycles with zero rollback incidents.
Product Engineer
TATA Consultancy Services (CBO Technology and Innovation)
Feb 2024 - Aug 2024
Monitored and supported 8+ enterprise applications, resolving 35+ incidents/month within defined SLAs. Investigated and fixed application defects and data-related issues using SQL, reducing recurring defect volume by 18% through root-cause analysis (RCA). Automated daily log review and incident-reporting using Python, saving approximately 5 hours/week. Coordinated with development, infrastructure, and business teams to resolve 20+ cross-functional technical issues. Validated application functionality post-deployment and maintained support documentation and knowledge articles, cutting average ticket-resolution time by 15%.
Education
B.Tech โ Artificial Intelligence & Data Science - M. Kumarasamy College of Engineering, Karur โ Anna University
2020 - 2024 ยท Afghanistan
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Skills (19)
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