You will get a production-ready Spring Boot REST API
Project details
I'll build a clean, production-ready Java Spring Boot REST API for your application. Having shipped 10+ microservices for Fortune 500 clients including Intel and Roche, I deliver enterprise-grade backends — not tutorial-level code. You get JWT authentication, proper error handling, database integration, Swagger documentation, and Docker containerization. Every endpoint is tested, documented, and ready to deploy. I write clean, maintainable code that your team can extend without me. Currently an AI/ML Engineer with 3+ years of Spring Boot production experience.
Programming Languages
JavaScript, Python, JavaCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,000
|
Advanced
$1,800
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 3 | 8 | 15 |
Design Customization | - | ||
Content Upload | - | ||
Responsive Design | |||
Source Code |
Frequently asked questions
About Muhammad
AI/ML Engineer & Java Backend Dev | LLMs - RAG - PyTorch - Spring Boot
Barcelona, Spain - 4:28 pm local time
Over the past 4+ years, I've shipped Java Spring Boot microservices for enterprise clients like Intel and Roche, trained and fine-tuned deep learning models for real-world use cases at companies like ASML, and built LLM-powered tools that people actually rely on. I also have an MSc in Artificial Intelligence (Erasmus Mundus) across three European universities, focused on multimodal AI and model evaluation.
What I can build for you:
AI/ML & LLM Engineering:
→ RAG pipelines and retrieval systems (BM25, cross-encoder reranking, FAISS, vector databases)
→ LLM application development (LangChain, Hugging Face, OpenAI/Claude API integration)
→ Fine-tuning LLMs and VLMs using LoRA, QLoRA, PEFT, and PyTorch
→ Deep learning model training — CNNs, transformers, sequence models, object detection (YOLO)
→ ML experiment tracking, evaluation pipelines, and model deployment (MLflow, Docker)
→ AI chatbots, agentic workflows, prompt engineering, and workflow automation
→ Computer vision — detection, classification, multimodal AI, and image pipelines
Backend & Full-Stack Development:
→ Java Spring Boot microservices, REST APIs, and enterprise integrations
→ React / Next.js frontends with modern UI (Tailwind, MUI, responsive design)
→ Database design and optimization (PostgreSQL, Oracle, MySQL, Redis)
→ Docker, CI/CD pipelines, cloud deployment (AWS, Oracle Cloud)
Why clients work with me:
→ 10+ production microservices shipped for Fortune 500 enterprise clients
→ Currently at ASML building multimodal AI systems
→ MSc in Artificial Intelligence — deep technical foundation, not just API wrappers
→ Hands-on with PyTorch, Hugging Face, and model training every day
→ 5.0 rating on Upwork — I deliver clean, well-documented code on time
→ Clear communication, daily updates, and no disappearing acts
Let’s discuss your project — I respond within 2 hours.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Schema Design
I finalize the data model, endpoints, and API contract with you.
Core API Development
I build entity models, repositories, services, and REST controllers with validation.