My Resume

Leading design and execution of mission-critical Spring Batch financial data pipelines and microservices for Charles Schwab.

• Designed and built Spring Batch jobs (JdbcPagingItemReader → ItemProcessor → FlatFileItemWriter) with chunk-oriented processing, cutting runtime by 30% while processing 1.5M+ records per run with streaming outputs to AWS S3.
• Engineered multi-step batch pipelines with tasklets and chunk-oriented steps to reliably process 12 GB/day of financial data across 6 downstream jobs, maintaining zero missed SLA windows in 6 months.
• Integrated Addepar APIs for automated financial report generation, eliminating ~8 hours/week of manual reporting effort for business stakeholders.
• Tuned SQL queries and indexing strategy, reducing batch job runtime from 6 hrs to 4 hrs (33% improvement) on production-scale datasets.
• Implemented retry, dead-letter, and structured logging patterns, reducing batch-job failure incidents by 25% quarter-over-quarter.
• Adopted Claude, GitHub Copilot/Codex, and Gemini into daily development workflows for code generation, review, and debugging (20% faster feature turnaround); prototyped an LLM-based agent for log-triage and automated test generation.
• Conducted thorough code reviews and unit testing adhering to enterprise standards, maintaining a defect escape rate under 5%.

Owned production support, microservice reliability, and offshore-onshore release coordination for core wealth management platforms.

• Owned production support and root-cause analysis for 8 enterprise Java/Spring Boot microservices on Pivotal Cloud Foundry (PCF), reducing recurring incident volume by 20% over 12 months.
• Led offshore-onshore coordination for a team of 5 engineers, sustaining 2 releases/month with zero critical rollbacks across 10 consecutive releases.
• Automated smoke-testing and deployment-validation checks, halving release validation time from 4 hrs to 2 hrs per release.
• Debugged and resolved 15+ production incidents per quarter, boosting application availability to 99.5%.
• Mentored 3 junior engineers and led 4 internal knowledge-sharing sessions on Spring Boot, microservices architecture, and PCF deployment practices.
• Drove CI/CD pipeline improvements (Jenkins, Maven) that trimmed average deployment time by 25%.

Engineered scalable RESTful microservices and transaction batch jobs for JP Morgan Chase financial platforms.

• Built and shipped 8 scalable REST APIs in Java/Spring Boot supporting 50K+ daily transactions across frontend and third-party integrations.
• Designed microservices components integrating 5 third-party services and internal systems, cutting integration turnaround time by 20%.
• Wrote JUnit/Mockito unit test suites achieving 80% code coverage, reducing regression defects reaching UAT by 30%.
• Automated CI/CD build and deployment pipelines with Jenkins, Maven, and Git, reducing build cycle time by 30%.
• Built Spring Batch workflows processing 500K+ records/day for scheduled bulk-data operations with zero data-loss incidents.

Full-stack software development internship delivering enterprise internal tooling.

• Built a full-stack web application (HTML, CSS, JavaScript, Vue, Spring Boot) supporting 200+ internal users, integrating frontend and backend features end-to-end.

Bachelor of Engineering in Computer Science and Engineering

Lakshmi Narain College of Technology Excellence

ADM Unit RISE Award — 'Business Ninja'

Infosys

Awarded for exceptional performance and business value delivery.

ADM Unit RISE Award — 'Eureka'

Infosys

Awarded for exceptional innovation and problem-solving contributions.

Infosys Insta Award

Infosys

Awarded for outstanding project performance and high-impact contributions.

Infosys Glory Award

Infosys

Awarded for exceptional client feedback and project delivery impact.

Runner-up — Smart India Hackathon 2019

Ministry of External Affairs, Govt. of India

National finalist runner-up solving a high-priority problem statement for MEA.