HEMA User
@hemauser1
Software engineer focused on backend performance, test automation, and full‑stack product delivery.
What I'm looking for
I am a software engineer with hands‑on experience improving backend performance, building full‑stack features, and implementing automated testing. I have contributed to API optimizations, CI/CD deployments, and cross‑functional incident triage in production environments.
At Rocketlane I led test automation with Karate, built bulk update flows across Spring Boot, ClickHouse, PostgreSQL and React, and improved an Update Tasks API performance by 60% through backend refactoring. I’m comfortable working with Dockerized microservice environments and debugging across development, release, and production pipelines.
During an internship at Larsen & Toubro I developed a full‑stack IdeationTool using React Native and Firebase to support employee innovation and inclusion. My academic projects include NIR face recognition using PyTorch and GANs and a real‑time automated trash scooper using YOLOv8 on Raspberry Pi.
I prioritize measurable impact, reliable deliverables, and collaborative problem solving. I seek roles where I can continue to optimize systems, strengthen test automation, and deliver user‑facing features end‑to‑end.
Experience
Work history, roles, and key accomplishments
Software Engineer
Rocketlane
Feb 2025 - Present (1 year)
Designed and executed automated API tests with Karate, implemented bulk update flows across React frontend and Spring Boot/ClickHouse/PostgreSQL backend, and improved Update Tasks API performance by 60% through backend refactoring.
Software Engineering Intern
Larsen and Toubro
Oct 2023 - Feb 2024 (4 months)
Developed a full-stack IdeationTool using React Native frontend and Firebase backend to enable employee idea submission and improve innovation participation.
Education
Degrees, certifications, and relevant coursework
Sri Sivasubramaniya Nadar College Of Engineering
Bachelor of Engineering, Computer Science and Engineering
2021 - 2025
Activities and societies: Projects: NIR Face Recognition, Automated Trash Scooper; participated in hackathons (ACM-CEG CodHer, OpenHacks) and selected for UN Millennium Fellowship 2023.
Pursuing a Bachelor of Engineering in Computer Science and Engineering with coursework and projects in deep learning, computer vision, and full-stack development.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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