You will get LLM Integration into Existing App
Project details
You've got a working app but you want it to be smarter — maybe it should summarize documents, classify incoming messages, generate content, or search semantically instead of keyword-matching. I'll add that AI layer without rewriting your existing code.
I work directly in your codebase (Python, Java, or Node.js), connect to whichever LLM fits your budget and use case, and build proper error handling around it. Not a Jupyter notebook demo — a production integration with rate limiting, caching, and fallback logic.
I optimize prompts for accuracy and token efficiency so your API bill doesn't blow up. You get clean endpoints your frontend team can call immediately.
I work directly in your codebase (Python, Java, or Node.js), connect to whichever LLM fits your budget and use case, and build proper error handling around it. Not a Jupyter notebook demo — a production integration with rate limiting, caching, and fallback logic.
I optimize prompts for accuracy and token efficiency so your API bill doesn't blow up. You get clean endpoints your frontend team can call immediately.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Sequence Modeling, Synthetic Data Generation, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, PyTorch, Streamlit, TensorFlowAI Models
BERT, ChatGPT, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$600
|
Standard
$1,200
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 1 | 2 | 0 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | ||
Natural Language Processing | |||
NLP Tokenization | - | ||
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | - | ||
Source Code |
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MH
Muhammad Uzair H.
Apr 17, 2024
Need a Full-Stack Developer for Event Management System (Java Spring Boot + ReactJS)
Working with Ali was a fantastic experience! His professionalism, attention to detail, and exceptional skill in turning our vision into reality were outstanding. He delivered the project with great quality and speed. Highly recommended for anyone looking for top-tier development work.
About Muhammad
AI/ML Engineer & Java Backend Dev | LLMs - RAG - PyTorch - Spring Boot
Barcelona, Spain - 6:08 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.
Codebase Review & Planning
I review your existing app, understand the integration points, and propose the approach.
Prompt Engineering & Prototyping
I design and test prompts for your specific use case to maximize accuracy.