I am a Backend Software Engineer and B.Tech. Computer Science undergraduate at VIT Bhopal University. I specialize in designing scalable, secure REST APIs, Dockerized microservices, and robust database architectures using the Java and Spring Boot ecosystem. Alongside my enterprise backend skills, I am an official open-source contributor to major scientific libraries, bridging the gap between heavy computational research and clean software architecture.
- Enterprise Backend Development: Passionate about building robust, secure, and highly available backends. Experienced in implementing JWT authentication via Spring Security, complex data modeling with JPA/Hibernate, and cross-platform RESTful services.
- Distributed Systems & Infrastructure: Adept at orchestrating asynchronous task queues, message brokers, and CI/CD pipelines using Redis, Celery, and Docker.
- Open-Source & AI Architecture: Official contributor to international systems biology libraries (JSBML/SBSCL). I engineer autonomous AI-agent pipelines, mathematical serializers, and mechanistically grounded backend tools.
- Backend Frameworks: Spring Boot, Spring Security, Spring Data JPA/Hibernate, REST APIs, FastAPI
- Databases & Infrastructure: PostgreSQL, Docker, Redis, Celery, Neo4j
- Languages: Java, Python, SQL, C/C++
- Tools & Utilities: Git, GitHub, Maven, Postman, CI/CD Pipelines
- ParkShare (Spring Boot Backend): Engineered a secure, location-aware parking marketplace backend using Spring Boot. Built JWT-authenticated REST APIs, integrated Spring Security, and designed a robust PostgreSQL schema via JPA/Hibernate to handle complex bargaining workflows and recurring scheduling.
- Systems Biology LLM Tools (Distributed Pipeline): Architected a distributed processing pipeline using FastAPI, Celery, and Redis to manage long-running scientific reconstructions. Built a Neo4j-JSBML bridge using the Model Context Protocol (MCP) and deployed it via Dockerized microservices.
- SBML Core Contributions (Java Architecture): Actively maintain the JSBML (Java) and SBSCL libraries. Developed the
AntimonySerializerin Java to map complex XML biological rules into LLM-readable syntax, earning a formal research endorsement from Prof. Dr. Andreas Dräger. - Scale AI - Outlier (Backend Evaluation): Evaluated and tested complex, multi-turn AI agent trajectories within live, non-mocked OS environments, enforcing native bash executions and custom API reliability.
- LinkedIn: linkedin.com/in/dyrpsf
- Email: dyrpsf@gmail.com