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I will integrate ai llm into java spring boot for regulated industries
Mehul Kapadiya
Informazioni su questo servizio
Adding AI to a Spring Boot app in healthcare, fintech, insurance or any regulated system isn't the same as adding it to a to-do list app and treating it like one is how compliance reviews, audits, and data leaks happen.
I'm a Tech Lead with 13+ years in Java/Spring Boot, including production experience inside a Clinical Research, Pharma and Banking where every integration gets scrutinized for data handling, auditability, and regulatory exposure before it ships.
I bring that same discipline to your AI integration:
- Spring AI / LangChain4j setup with OpenAI, Anthropic (Claude), or self-hosted models
- PII/PHI-aware data handling what never touches the LLM, what gets redacted, what gets logged
- Audit-trail logging for every AI call (who asked what, what was returned, when)
- Clean service-layer abstraction AI logic isolated from business logic, easy to rip out or swap providers later
- Full source code + documentation your compliance team can actually review
Message me with your Spring Boot version, your AI use case, and your compliance context (HIPAA, GDPR, SOC 2, or 'just want to be safe'); I'll tell you honestly whether this is a quick job or a bigger scope, before you spend!
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Mehul Kapadiya
Java Expert
- DaIndia
- Membro damag 2012
- Ultima consegna3 anni
Lingue
Gujarati, Inglese, Hindi
Sr. Java Engineer & Architect | Masters in CS | 13+ Years Excellence
Why hire a coder when you can hire a Master of CS and former Professor?
With 8+ years of elite engineering and 5 years teaching, I build enterprise systems optimized for 99.8% uptime. I specialize in Spring Boot, Batch, Security, MVC and Microservices backed by robust JPA/Hibernate and RabbitMQ. From Java 8/17+ to Angular and complex SQL/NoSQL (Oracle, MongoDB), I deliver scholarly-perfect code. Currently scaling my stack with Kafka and modern CI/CD, including AWS, Docker, Jenkins, and K8s.
Let’s engineer your success.
FAQ
Which LLM providers do you support?
OpenAI, Anthropic (Claude), and self-hosted/open-source models via Spring AI or LangChain4j — I'll recommend based on your data sensitivity and budget.
What if I'm not in a regulated industry — can I still use this gig?
Yes. The same discipline (clean abstraction, error handling, testing) benefits any production app, you just won't need the redaction/audit-trail layer.
Do you have real experience in regulated industries, or is this just a marketing angle?
I currently lead Spring Boot development at a Clinical Research Organization, where I own architectural decisions including data handling and compliance exposure. This gig reflects how I already build, not a repositioned generic service.
Will this integration pass a compliance review?
I build with compliance patterns in mind (data minimization, audit trails, no unnecessary data retention), but I'm not a compliance officer, you'll still want your own legal/compliance sign-off. I'll flag anything that looks like a real regulatory risk before you order.
