Resume

Software Development Engineer · Bengaluru, India

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Bengaluru, India·tulsi.workk@gmail.com·linkedin.com/in/kumari-tulsi·github.com/tulsi-kumari

Summary

Software Engineer with production experience designing, building, and optimizing enterprise applications and distributed systems. Experienced in Java 21, Spring Boot, microservices, relational databases, concurrency, cloud-native technologies, and CI/CD. Reduced production workflow latency by 95% through database and ORM optimization and resolved complex production issues involving transaction boundaries, connection pools, and enterprise integrations.

Technical Skills

Languages: Java 21, Python, SQL, JavaScript, Go
Software Engineering: Core Java, OOP, Collections, Design Patterns, Multithreading, Concurrency
Backend & Distributed Systems: Spring Boot, Spring Data JPA, Spring Security, Hibernate, JDBC, REST APIs, SOAP, Microservices, AOP
Databases: MySQL, Oracle, PostgreSQL, RDBMS, Schema Design, Query Optimization, Indexing, Flyway
Testing: JUnit, Mockito, Unit Testing, Integration Testing
Cloud & DevOps: AWS, OCI, Docker, Kubernetes, Jenkins, Argo CD, CI/CD, Git, Maven, Linux
Tools & Methodologies: Jira, Agile/Scrum

Work Experience

Software Development Engineer

Texas Instruments · Bengaluru, India

Aug 2025 – Present
  • Architected an 11-state quarter lifecycle orchestrator as a modular monolith, using event-triggered transitions, asynchronous processing, hash-based delta synchronization, and downstream impact propagation to automate sales incentive workflows at 10,000+ participant scale, reducing administration cycle time from 15 days to 3–4 days and saving ~$120K annually.
  • Reduced Hibernate/JPA-driven workflow latency by 95% (45+ min to ~2 min) by enabling JDBC batching, replacing bulk saveAll merges with correlated SQL updates, removing cascade merges, and eliminating N+1 queries.
  • Diagnosed and resolved 1+ hour application freezes, tracing the root cause to Oracle connection-pool starvation from long-running transactions held open during external SOAP/Denodo calls; redesigned transaction boundaries to isolate external I/O from database transactions.
  • Established transaction and integration boundaries for a Spring Boot platform coordinating databases, REST/SOAP APIs, data virtualization, and SFTP across a multi-thousand-record batch process, ensuring all-or-nothing consistency.
  • Standardized global exception handling through a custom exception hierarchy, producing consistent error responses and failure diagnostics across 15+ services.
  • Introduced correlation-ID based request tracing across the workflow pipeline, enabling end-to-end request tracking for debugging and auditability.
  • Developed reusable, Kubernetes-deployed Python libraries standardizing integration development across 150+ enterprise integrations, and designed RBAC authorization services for sensitive enterprise data across multiple business domains.
  • Developed and maintained unit and integration test coverage using JUnit and Mockito for Spring Boot services, improving regression safety across production workflows.

Software Development Engineer Intern

Texas Instruments · Bengaluru, India

Jan 2025 – Aug 2025
  • Developed and delivered an AI-powered workflow automation platform to production in 8 weeks, sustaining zero production defects for 2+ months and driving adoption across 20+ workflows.
  • Established CI/CD deployment workflows for on-premises Kubernetes clusters, configuring manifests, persistent volumes, CronJobs, Argo CD deployment scripts, and Jenkins pipelines; resolved build and deployment issues across projects.

Projects

Enterprise Data Lineage and Search Platform

Python, PostgreSQL, Graph Traversal, REST/SOAP APIs
  • Built a searchable knowledge graph of 16,000+ artifacts and 30,000+ dependency edges across 9 artifact types, using normalized artifact relationships and GIN-indexed search to enable dependency/impact analysis, reducing manual investigation from 2–3 months to ~30 seconds.

Raft Consensus Implementation

Go · Personal Project (In Progress)
  • Implementing Raft from the original paper for hands-on understanding of leader election and log replication; currently at leader election. Exploring MapReduce alongside consistency and sharding tradeoffs.

AI-Assisted Job Application Platform

Product & Engineering · OCI, Docker, Nginx, TLS
  • Contributed product/data-modeling design for an AI-assisted job application platform and deployed it on OCI using Docker, Nginx, DNS, and TLS, optimizing data structures to reduce LLM inference calls.

Education

National Institute of Technology Patna

B.Tech, Computer Science and Engineering

2021 – 2025

CGPA: 9.67/10 (perfect 10.0 across multiple consecutive semesters)

Achievements

  • Rising Star of the Quarter for end-to-end ownership and execution quality at Texas Instruments.
  • Silver Recognition, Top 10 finish at AI Hackathon.