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Mounika Polavarapu

Software Engineer • Dallas, TX 75234 • m*****************@gmail.com • +19******701 • drivetube.ai/•••••

Professional Summary

Software Engineer with 3+ years of experience designing, building, and operating distributed microservices and high-throughput backend systems. Strong hands-on experience with Java and Spring Boot for backend services and Node.js for serverless microservices on AWS Lambda. Worked across payments and financial services domains, implementing policy-driven validation, Kafka-based eventing, and PostgreSQL-backed reporting systems, as well as MongoDB/Redis-backed low-latency validation engines. Delivered production reliability and observability improvements using structured logging and CloudWatch, led CI/CD and automated test efforts (JUnit, Mockito, Jest), and collaborated with data science to integrate Python ML pipelines for real-time fraud detection. Comfortable owning services end-to-end from design and deployment to monitoring and incident response, with demonstrated impact at scale and a strong foundation in system design and performance optimization.

Technical Skills

Programming Language: Java,JavaScript,Python,TypeScript,SQL,Structured logging
Frontend Technologies: React,Angular,Next.js
Backend Technologies: Node.js,Spring Boot
Databases: PostgreSQL,MongoDB,Redis
Cloud Platforms: Amazon Web Services,Lambda,AWS RDS,SQS
DevOps & Infrastructure: GitHub Actions,Continuous Integration,Continuous Deployment
Testing & QA: Mockito,JUnit,Jest
Messaging & Monitoring: CloudWatch,Apache Kafka
Generative AI & LLMs: Devin

Work Experience

7-Eleven Inc
Irving, TX
Software Engineer
June 2024 – Present
Worked on retail operations technology, building backend services and serverless workflows to support payment processing and transaction validation at scale for a national convenience retail chain.
Tech Stack: Node.js, AWS Lambda, SQS, MongoDB, Redis, CloudWatch, Devin, Stripe, Braintree
  • Architected and scaled distributed microservices with Node.js and AWS Lambda to support high-throughput production traffic for 10K+ concurrent users.
  • Optimized critical code paths through profiling and targeted system-level changes, improving memory efficiency and cold-start behaviour for serverless handlers.
  • Implemented a query-heavy validation engine using MongoDB and Redis, achieving sub-120ms read latency for validation workflows and lowering overall system load.
  • Designed fault-tolerant transaction workflows with SQS and Lambda to standardize payment processing and improve consistency across Stripe and Braintree integrations.
  • Partnered with data science to integrate Python-based ML pipelines for real-time fraud detection, enabling production anomaly flagging and reducing false positives.
  • Adopted AI-assisted development (Devin) to generate tests and scaffold boilerplate, accelerating feature delivery and improving PR review throughput.
  • Improved observability with structured logging and CloudWatch alerts and runbooks, significantly reducing mean time to recovery and strengthening production reliability.
University of North Texas
Denton, TX
Graduate Teaching Assistant
Jan 2023 – May 2024
Supported undergraduate software development courses through lab instruction, assignment design, and CI/CD/testing guidance to prepare students for industry software delivery.
Tech Stack: JavaScript, TypeScript, React, Angular, Next.js, GitHub Actions, Jest, CI, CD
  • Led hands-on labs for 120+ students, teaching JavaScript, TypeScript, React, Angular, and Next.js with emphasis on component design and state management.
  • Designed and graded programming assignments and exams, providing targeted feedback to improve student code quality and testing practices.
  • Introduced CI/CD workflows and GitHub Actions examples, guiding students to build pipelines and write automated tests for web applications.
  • Developed lab materials demonstrating unit testing with Jest and integration testing concepts to elevate students' software engineering readiness.
  • Mentored student teams on clean coding, performance optimisation, and deployment patterns; hosted office hours and code reviews to accelerate learning.
  • Automated lab provisioning and submission grading scripts to streamline course operations and reduce instructor manual effort.
JPMorgan Chase & Co
Bangalore, India
Java Full Stack Developer
July 2021 – Aug 2022
Built backend microservices for a large-scale distributed lending platform, focusing on reporting, validation, and event-driven processing to support financial operations and compliance.
Tech Stack: Java, Spring Boot, PostgreSQL, Kafka, JUnit, Mockito
  • Engineered backend microservices in Java and Spring Boot, owning services from design through deployment for core lending workflows.
  • Improved query execution time 25% by applying index tuning and SQL rewrite across PostgreSQL, eliminating several full-table scans on reporting queries.
  • Integrated Kafka to decouple services and enable event-driven processing, improving throughput for high-volume lending workloads.
  • Expanded unit and integration test coverage with 250+ tests using JUnit and Mockito, enabling earlier defect detection and reducing production regressions.
  • Applied concurrency controls and caching strategies to strengthen service reliability under load and simplify retry semantics.
  • Built policy-driven validation and rule engines to enforce auditable execution paths across distributed services and streamline compliance checks.

Projects

Distributed User Account System
Tools Used: Node.js, AWS Lambda, AWS RDS, Load balancer, CI, CD
  • Implemented a scalable multi-instance architecture with load balancing and monitoring to support concurrent user sessions.
  • Designed a normalized relational schema in RDS and optimized read-heavy queries for common user workflows.
  • Established CI/CD pipelines to automate builds and deployments for repeatable, low-friction releases.

Education

University of North Texas
Master of Science in Computer Science • Denton, TX • May 2024
JNTU Hyderabad
Bachelor of Technology in Electronics and Communication Engineering • July 2021

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