You will get a production-ready RAG & LLM backend system
Top Rated
Top Rated
Project details
You will get a production-ready RAG & LLM backend system designed for real-world deployment, not demos. I build scalable AI backends that connect large language models to structured and unstructured data with reliability, security, and performance in mind.
This project is built for teams that need more than a simple chatbot. Whether you're integrating AI into an internal tool, customer-facing platform, analytics system, or enterprise workflow, the system is designed to be modular, secure, and extensible.
Each tier represents a complete solution for a defined project scope. Smaller tiers cover focused AI integrations with controlled data sources. Higher tiers support multi-source ingestion, hybrid retrieval, scaling strategies, monitoring, and production hardening.
The result is a stable, API-driven AI backend that can be deployed, maintained, and extended confidently.
This project is built for teams that need more than a simple chatbot. Whether you're integrating AI into an internal tool, customer-facing platform, analytics system, or enterprise workflow, the system is designed to be modular, secure, and extensible.
Each tier represents a complete solution for a defined project scope. Smaller tiers cover focused AI integrations with controlled data sources. Higher tiers support multi-source ingestion, hybrid retrieval, scaling strategies, monitoring, and production hardening.
The result is a stable, API-driven AI backend that can be deployed, maintained, and extended confidently.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Localization, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,000
|
Advanced
$6,000
|
|---|---|---|---|
| Delivery Time | 10 days | 20 days | 30 days |
Number of Revisions | 1 | 2 | 0 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
Frequently asked questions
8 reviews
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AC
Anthony C.
May 11, 2026
LLAMA and Machine Learning Specialist Required
Build a complex AI agent for our clients which connected to our SQL that contained millions of records. Excellent job and would thoroughly recommend.
JW
Jack W.
Apr 23, 2026
Cursor AI Expert for Machine Learning: experienced tutor to help learn. (Only solo developers)
Good client, prompt replies and did the job well.
HM
Hyehyeon M.
Jan 3, 2026
30 minute consultation
"Deep expertise in LLMs & Program Systems. Highly recommended."
I requested a technical review of my documents(LLMs, Program Synthesis, Reinforcement Learning), and the quality of his feedback exceeded my expectations. He provided detailed and profound answers specifically on the drafts I submitted.
He clarified complex concepts regarding LLM and Program Synthesis, advising on the accuracy of terminology, current trends, and technical feasibility. His insight into graduate-level research topics, including specific papers and research direction, was incredibly impressive. I look forward to working with him again.
I requested a technical review of my documents(LLMs, Program Synthesis, Reinforcement Learning), and the quality of his feedback exceeded my expectations. He provided detailed and profound answers specifically on the drafts I submitted.
He clarified complex concepts regarding LLM and Program Synthesis, advising on the accuracy of terminology, current trends, and technical feasibility. His insight into graduate-level research topics, including specific papers and research direction, was incredibly impressive. I look forward to working with him again.
MF
Muhammad Umair F.
Dec 29, 2025
Build a Formal Verification & Logic Consistency Agent for LLM-Based Systems
Excellent with deep expertise in AI safety and formal verification. Delivered a robust system for validating LLM reasoning using formal methods and SMT solving. Communication was clear, work was high quality, and delivery was on time. Highly recommended for complex AI, agent, or verification-related projects.
MF
Muhammad Umair F.
Dec 2, 2025
API Integration Specialist for Gemini LLM Using LangChain
Umar completed a task to demonstrate his skills in RAG workflows, LLM tooling, and Python engineering. He delivered a clean, functional solution with clear steps, strong reasoning, and production-focused design. The work validated his capability in fast, reliable AI development.
About Muhammad Umar
AI Systems Engineer & LLM Architect | Cambridge PhD | Ex-Microsoft
100%
Job Success
Lahore, Pakistan - 12:00 pm local time
I am an AI Engineer specializing in LLM integration, RAG pipelines, and multi-agent systems. Demonstrated expertise through key projects like developing a dynamic AI agent using LangChain for LLMs, building an AI platform querying multiple engines, and formal verification systems for AI reasoning. Proficient in Python, NLP, Machine Learning, and ML Security, ML Models, applying these skills to create robust, scalable AI solutions and clean backends for production-grade deployments.
I am a PhD in Computer Science from the University of Cambridge and a former Microsoft engineer with 10+ years of experience building high-performance, secure, and reliable systems.
𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼 𝗯𝗲𝘀𝘁:
• High-performance C++ systems (compilers, runtime)
• AI systems (LLMs, RAG, agentic workflows) designed for real-world deployment
• ML performance optimization (Triton, CUDA, PyTorch, TVM) 3x–5x speedups
• Formal verification & program analysis (model checking, SMT)
• Secure and trustworthy AI systems (LLM reasoning, validation, safety)
• Blockchain & smart contract analysis (Ethereum, storage-level reasoning)
𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗰𝗵𝗼𝗼𝘀𝗲 𝗺𝗲:
① Cambridge PhD (Computer Science) + 10 years at Microsoft (security & systems)
② 5 US patents in security and cryptography
③ 100% Job Success Score on Upwork, every project delivered
④ Production-grade AI systems, not just prototypes that demo well
⑤ Deep expertise across correctness, performance, and system design
𝗥𝗲𝗰𝗲𝗻𝘁 𝗰𝗹𝗶𝗲𝗻𝘁 𝗿𝗲𝘀𝘂𝗹𝘁𝘀:
• Built an LLM agent over SQL with millions of records, delivered
• Designed a formal verification pipeline for LLM reasoning using SMT solving, shipped in under a week
• Optimized ML inference pipelines achieving 3x–5x throughput improvements
• Built a RAG-based blockchain analysis system for smart contract vulnerability detection
𝗜𝗱𝗲𝗮𝗹 𝗰𝗹𝗶𝗲𝗻𝘁𝘀:
• AI startups hitting scaling or reliability limits in production
• Teams struggling with LLM output correctness or consistency
• Web3 companies needing secure, formally verifiable systems
• Engineers building serious backend or AI infrastructure
If your system isn't performing the way you need it to, message me and let's fix it.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Umar can start the project.
Delivery time starts when Muhammad Umar receives requirements from you.
Muhammad Umar works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Scope Definition
Define objectives, data sources, expected scale, performance constraints, and deployment environment. Finalize system boundaries and confirm architecture direction before development begins.
Architecture & Retrieval Design
Design the RAG pipeline structure including ingestion flow, embedding strategy, retrieval logic, prompt orchestration, and API interaction model aligned with project scope.