I'm a Java backend developer with hands-on experience in building scalable systems using Spring Boot, RESTful API development, microservices, dependency injection with Dagger, and cloud deployments on AWS. I thrive in Agile environments and enjoy collaborating with cross-functional teams to deliver robust backend solutions.

Alongside my backend engineering expertise, I have a strong background in Machine Learning, Deep Learning, and Reinforcement Learning. My portfolio includes projects in statistical machine learning, image classification, reinforcement learning for games, and fine-tuning large language models (LLMs).

I have also published a research paper in Springer on the Prediction of Solar and Lunar Eclipse.

Languages: Java (Spring Boot), Python (ML/DL), SQL

Frameworks: Spring Boot, Dagger, Hibernate, AWS-SDK

Cloud: AWS (Lambda, DynamoDB, SQS)

Architecture: RESTful APIs, Microservices, Dependency Injection, API Gateway, Circuit Breaker and Fallback

ML/DL: scikit-learn, TensorFlow, PyTorch, LLM fine-tuning

Tools: Git, Maven, Gradle, Jupyter, Agile/Scrum

1. Learning Android Development: Building native apps and exploring Kotlin/Java for mobile.
2. Reinforcing ML/DL/AI Basics: Revisiting core algorithms and advancing in deep learning and AI.
3. Open to Collaboration: Looking for opportunities to work on challenging backend, ML, or AI projects, hackathons, and open-source initiatives.

🎯 Looking For

1. Backend Engineering Roles: Java/Spring Boot, API development, microservices
2. Machine Learning/AI Roles: ML engineering, applied AI, LLMs
3. Hackathon Teams & Collaborators: If you're passionate about backend or AI, let's build something impactful together!

[](https://linkedin.com/in/Prasoon Modi)