Available for new opportunities

Spandana
Sunkara

Software Engineer II with 5 years building scalable web applications and cloud-native microservices. Expert in React, Java/Spring Boot, AWS & Kubernetes.

5+
Years Experience
30%
Avg. Performance Gains
10+
Microservices Built
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Work History

Where I've
Made Impact

Software Engineer II
Crown Castle USA Inc — Canonsburg, PA
Apr 2024 – Feb 2026
  • Took ownership of a complex React + GraphQL frontend that was sluggish and hard to maintain — rearchitected data fetching patterns and brought query complexity down by 30%, making the UI noticeably snappier for end users.
  • Crown Castle's real estate operations relied heavily on manual workflows. I built a suite of Spring Boot microservices that automated the bulk of that work, freeing up 40% of processing time that teams were spending on repetitive tasks.
  • Stitched together a reliable event-driven layer across a sprawling 10+ microservice ecosystem — previously, mismatched API contracts were causing frequent failures. Got that down by 40% through consistent integration patterns.
  • Led the CI/CD migration from Jenkins/Azure DevOps to Harness and GitHub Actions. The team immediately saw 25% faster builds and could ship to production on AWS EKS without sweating over downtime.
  • Adopted AI coding tools early — used GitHub Copilot and Claude Code day-to-day to speed up test writing and code cleanup, which became a workflow others on the team started picking up too.
React + GraphQL Spring Boot AWS EKS Kubernetes Harness CI/CD –40% processing time
Software Engineer
Federal Soft Systems Inc — Bentonville, AR
Jan 2023 – Apr 2024
  • Started with a blank canvas and built out full React/Redux/Node.js applications that became the go-to internal dashboards for multiple business teams — turning raw data into something people actually wanted to use.
  • Redesigned the backend microservice layer in Spring Boot with cleaner REST contracts, which had a direct impact on quality — support tickets and client-reported bugs dropped by 30% shortly after.
  • Eliminated the manual deployment chaos by wiring up Jenkins pipelines with Docker. Deployment downtime went from a regular headache to nearly zero — a 90% reduction that the whole team felt immediately.
React/Redux Node.js Jenkins CI/CD –30% defects 90% ↓ downtime
Software Engineer
Plasticon Technologies — Hyderabad, India
Jul 2020 – Jul 2021
  • Inherited a Python/Django/Flask stack that was visibly slow — profiled the bottlenecks and optimized across the full stack, getting page load times down by 20% and making a real difference to how the product felt.
  • Set up MongoDB replication and sharding from scratch to handle high-traffic loads without breaking a sweat — the result was 99.9% uptime on systems the business depended on daily.
  • Standardized the release process by building out Azure DevOps pipelines, cutting deployment cycles by 40% and ending the era of ad-hoc, error-prone manual releases.
Python / Django MongoDB Azure DevOps 99.9% uptime
Samsung PRISM Developer
Samsung Research Institute — Bengaluru, India
Jan 2020 – Aug 2020
  • Built and trained a video classification model entirely from scratch — assembled a custom 1,500-video dataset, then combined Temporal Shift Module (TSM) with MobileNetV2 to make it fast enough for real-time inference. Hit 93% accuracy, which was the target Samsung had set for the project.
Deep Learning TSM + MobileNetV2 93% accuracy
Technical Stack

Tools I Build
Production Systems With

Languages
Java JavaScript TypeScript Python Shell Scripting
Frontend
React Angular Redux GraphQL Node.js HTML5 / CSS3
Backend
Spring Boot Spring MVC Spring Data JPA Spring JDBC Hibernate Microservices REST / SOAP Kafka OAuth 2.0 / JWT Django / Flask JSP
Cloud & DevOps
AWS EC2 / S3 / EKS / Lambda Docker Kubernetes Helm Jenkins Harness Azure DevOps
Databases
MySQL PostgreSQL MongoDB Redis Oracle
Testing & Tools
JUnit / Mockito Jest Playwright Postman Datadog GitHub Copilot Claude Code
Recognition

Certifications &
Achievements

☁️
AWS Certified Cloud Practitioner
Certified by Amazon Web Services, validating foundational cloud expertise across AWS infrastructure and services.
📖
Published Author — Springer Singapore
Co-authored "Machine Learning: A Study and Modelling of Different Techniques," presented at ICCCES 2021 and published by Springer Singapore.
🏆
Smart India Hackathon 2019 — Runner Up
Finished as runners-up among 100+ competing teams in one of India's largest national hackathons.


Education
MS, Computer Science
University of Texas at Arlington
Aug 2021 – Dec 2022
MBA, Information Technology
Humphreys University
Jan 2026 – Mar 2028 (In Progress)

Open to Mid-Level
Engineer Roles

Based in Arlington, TX — open to remote, hybrid, or relocation.