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Muhammad B.

Muhammad B.

AI Engineer | RAG System, MERN & Scalable Python Backends

Stop shipping features that don't hold up. Start shipping systems built for production. I'm a Senior Full-Stack AI Engineer with 7+ years of experience, bridging traditional backend architecture (Python, Django, FastAPI) with modern LLM and AI automation. I don't just wrap an OpenAI call and call it done — I build secure, production-grade AI systems that survive real traffic, real data, and real pressure. ✔ Delivered production systems across AI/LLM platforms, SaaS products, and high-load backend architectures ✔ Deep expertise in RAG pipelines, AI agents, and structured LLM tooling — not just prototype-level API calls ✔ Built systems that scale via config, not rewrites — multi-tenant architecture, async processing, caching layers done right 𝐖𝐇𝐘 𝐏𝐀𝐑𝐓𝐍𝐄𝐑 𝐖𝐈𝐓𝐇 𝐌𝐄? 🔹 Beyond Basic Chatbots: I build AI agent workflows and RAG pipelines that execute multi-step business logic — retrieval, tool calling, and structured outputs, not single-turn replies. 🔹 Data-Driven AI (RAG): Real vector search (Qdrant, Milvus) so your AI answers reliably from your own data, with fallback handling for when models misbehave. 🔹 Production-Ready Architecture: AI is worthless bolted onto a fragile app. I build the surrounding system — Django/FastAPI/Flask backends, async jobs, Redis caching — so the AI layer doesn't crash the product around it. 🔹 Built to Scale, Not Just Demo: Multi-tenant, role-based access, infrastructure treated as part of the product from day one — not an afterthought bolted on later. 𝐓𝐄𝐂𝐇𝐍𝐎𝐋𝐎𝐆𝐘 𝐒𝐓𝐀𝐂𝐊: ✔ Backend & Database: Python, Django, FastAPI, Flask, PostgreSQL, MongoDB, Redis ✔ Frontend: React.js, Vue.js — component-driven, responsive, built with real UX in mind ✔ AI & Automation: OpenAI (GPT-4, GPT-4o), LangChain, RAG pipelines, LLMs, embeddings, vector search (Qdrant, Milvus), tool calling, structured outputs, AI agents ✔ APIs & Architecture: REST APIs, Microservices, SaaS Development ✔ Data & Infra: Kafka streaming, ETL pipelines, Data Engineering, Web Scraping, Docker, AWS (EC2, S3, RDS, Lambda), CI/CD 𝐓𝐘𝐏𝐈𝐂𝐀𝐋 𝐄𝐍𝐆𝐀𝐆𝐄𝐌𝐄𝐍𝐓𝐒: ✔️ AI knowledge bases & RAG systems for querying internal documents, PDFs, or company data ✔️ Backend systems that outgrew their architecture and need to be rebuilt right, not patched ✔️ End-to-end SaaS platforms — architecture, backend, frontend, and deployment ✔️ Data pipelines for teams whose product depends on data moving correctly, fast 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤 I think about what you're actually trying to build, not the ticket in front of me. I flag risks before they become expensive, give honest timelines instead of comfortable ones, and push back when something won't scale — before it's already built. Regular updates, no disappearing between milestones. 💡 𝐖𝐡𝐲 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞: ✔️ Full-stack ownership — architecture through deployment, not just one layer ✔️ Production-first mindset: security, scalability, and data decisions stay deliberate, never rushed ✔️ Code clean enough that the next developer doesn't quietly resent me Let's Build Something That Lasts. Message me with your bottleneck, and let's figure out whether I'm the right fit to solve it.

🇬🇧Manchester, United Kingdom$20/hr100% JSS5.00 (9)Since Aug 2020
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Earnings and projects

MRR
$0

Last 6 months ÷ 6

World#206,954 / 412k
🇬🇧Country#5,036 / 10.7k
Revenue, last 30 days
$0
Total earnings
$8.8k

Billed in all: $9.3k

World#206,954 / 412k
🇬🇧Country#5,036 / 10.7k
Per project
$734
Projects, last 6 months
0
World#209,850 / 412k
🇬🇧Country#4,679 / 10.7k
Projects in all
12

Across 13 contracts

46% fixed54% hourly
World#183,649 / 412k
🇬🇧Country#4,979 / 10.7k

Earnings, last 30 days

$9.3kNothing earned in the last 30 daysBilled in all, before Upwork's fee · drag across the chart to see what was earned in any stretch
$9.1k$9.2k$9.3k$9.4kOct 8Oct 23Nov 7

Skills