Looking for a job

Ronak Behera

@ronakbehera

Message

I build production AI/ML systems and scalable Spring Boot backends with measurable performance gains.

India

Message

What I'm looking for

I'm looking to build and deploy production AI/ML applications or scalable backend systems where I can improve performance, reliability, and real-world user outcomes.

I've built production AI/ML systems and scalable backend platforms, from real-time gesture recognition to e-governance services used by 5,000+ users.

At FixxLink Pvt. Ltd., I improved gesture-recognition accuracy from 46% to 85% across 10,000+ samples and reduced inference latency by 30%. I deployed the prediction pipeline with TensorFlow, FastAPI, WebSockets, React, Docker, and TFLite for real-time 30 FPS performance.

At Trident Academy of Technology, I architected Spring Boot microservices and reduced API response times by 60% through Oracle indexing, query optimization, and connection-pool tuning. I also implemented JWT-based zero-trust security and CI/CD testing gates that reached 95% test coverage.

My projects include LLM-powered book recommendations, AQI forecasting, and diabetic-retinopathy detection. I enjoy taking ML and backend systems from data and prototypes through reliable deployment.

Experience

Work history, roles, and key accomplishments

Backend Engineering Intern

Trident Academy of Technology

May 2025 - Jan 2026 (8 months)

Architected a production-grade e-governance backend using Spring Boot microservices, reducing API response times by 60% and achieving 95% test coverage. Implemented zero-trust security with Spring Security and JWT, and established CI/CD pipelines with GitHub Actions.

Spring Boot Spring Security JPA Hibernate Oracle Database JWT Azure App Service Docker Junit Mockito Maven

AI/ML Engineering Intern

FixxLink Pvt. Ltd.

Sep 2024 - May 2025 (8 months)

Engineered a real-time gesture recognition system using TensorFlow CNN, achieving 85% accuracy and 30% inference latency reduction. Deployed a production ML pipeline with FastAPI and WebSocket connections to a React frontend.