Senior AI Agent & Automation Engineer - upwork

Senior AI Agent & Automation Engineer | RAG, n8n | LangChain, Claude
$30.00/hr

𝗦𝗲𝗻𝗶𝗼𝗿 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 — 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 | 𝟭𝟬𝟬% 𝗝𝗦𝗦 | $𝟮𝟬𝗞+ 𝗲𝗮𝗿𝗻𝗲𝗱

I build production-grade AI agents and n8n automations that cut manual back-office work by 70–90% — production systems, not demos. Top Rated on Upwork with 22 successful builds spanning agentic workflows, RAG over private data, and Claude / GPT-4 integrations.

If you're looking to:
• Automate multi-step business workflows with AI agents (not basic chatbots)
• Build RAG systems over your internal docs, PDFs, and databases
• Wire LLMs into HubSpot, Airtable , Social Networking Apps or custom CRMs via n8n
• Integrate Claude / GPT-4 / open-source LLMs into your SaaS or internal tools
— I'll help you scope, design, and ship a system that runs in production from day one.

🚀 What I build:
• Agentic workflows with LangGraph, CrewAI, and Claude / OpenAI tool-use — multi-step decisions, not Q&A
• End-to-end automations in n8n / Make / Zapier wired into HubSpot, Airtable, QuickBooks, Notion
• RAG systems over 10K–500K docs using Pinecone, Weaviate, or pgvector — production-grade retrieval
• Custom LLM solutions — fine-tuning (LoRA / QLoRA), prompt pipelines, evals, inference optimization
• Computer Vision when projects need it — SAM, YOLO, custom CNNs (Coursera Deep Learning Specialization, NUST background)

📊 Selected client work:

▶ Agentic Claude Workflow — SaaS Business Automation ⭐⭐⭐⭐⭐
Designed and shipped a multi-agent system in LangGraph + Claude tool-use that auto-categorizes inbound requests, drafts responses, escalates edge cases, and posts to Slack — cutting the client's manual triage by ~80%.
Feedback: "He has the kind of energy and quality that is rare to find."
Stack: LangGraph · Claude API · Python · Slack · n8n

▶ AI Grading Bot — EdTech Platform • $5K+ contract, 210+ hours, ongoing
Built an LLM-powered grading assistant that evaluates student submissions against structured rubrics, returns justified feedback, and integrates with the platform's review queue. RAG over rubrics + exemplar submissions for grading consistency.
Stack: Python · OpenAI API · FastAPI · PostgreSQL · pgvector

▶ Healthcare AI — HL7 + DICOM + AWS Pipeline • ongoing
Building a cloud-native medical-imaging pipeline integrating HL7 messaging, DICOM image processing, and AWS deployment for a healthcare client.
Stack: Python · AWS · DICOM · HL7 · FastAPI · Docker

▶ Imbalanced-Dataset ML Pipeline — Biomedical Research ⭐⭐⭐⭐⭐ • $2.4K, 94 hours
Engineered the feature-engineering + statistical-modeling pipeline that outperformed the client's recommended ML baseline.
Feedback: "He just outperformed my recommended Machine Learning model with great feature engineering and analytics used. Highly Recommended!!"
Stack: Python · scikit-learn · Pandas · Imbalanced-learn · Statistical Methods

▶ Surgical Video Segmentation — Deep Learning ⭐⭐⭐⭐⭐
Trained and fine-tuned a deep-learning segmentation model on surgical video data for a medical research team.
Feedback: "Usama delivered excellent work on our surgical video segmentation project. Highly recommended!!"
Stack: PyTorch · SAM · OpenCV · Computer Vision

Range of recent work: Reinforcement Learning for Energy-Systems Optimization · GAN Networks (5★) · Image-to-SVG Pipeline (5★) · Vision-Language Document Captioning · Real-time Video Behavior Analysis · WhatsApp Bot Automation · Server-side ML/Automation Backends.

🧠 Stack:
Python · LangChain · LangGraph · CrewAI · n8n · Make · Zapier · OpenAI API · Anthropic Claude · Pinecone · Weaviate · pgvector · FastAPI · Docker · AWS · GCP · PostgreSQL · PyTorch · TensorFlow · OpenCV · YOLO · SAM

💡 Why clients work with me:
• Top Rated, 100% Job Success, $20K+ earned, 22 builds — 5★ across the board where feedback was given
• Production systems, not demos — every project ships running code with monitoring, error handling, and a clear handoff
• End-to-end ownership: architecture → build → deploy → handoff. You own the code, the keys, the data — always
• NUST + Coursera Deep Learning Specialization — real ML foundations, not just LLM-API wiring

📞 Let's talk
Send me a message describing the workflow you want automated or the agent you want built. I'll reply within an hour with a 30-minute architecture sketch and an honest "this fits / this doesn't" answer. First 30-min consultation is free.
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https://www.upwork.com/freelancers/~01e6ebaa671795326c/?referrer_url_path=%2Fdetails%2F~022051733283990922195
✅ Leaked Exploit Documentation:

https://drive.google.com/file/d/1cvQPOZ7JecI0L6lqdIzIHJbHQBiDRT4U/view?usp=sharing

This made me $13,000 in 2 days.

Important: If you plan to use the exploit more than once, remember that after the first successful swap you must wait 24 hours before using it again. Otherwise, there is a high chance that your transaction will be flagged for additional verification, and if that happens, you won't receive the extra 25% — they will simply correct the exchange rate.
The first COMPLETED transaction always goes through — this has been tested and confirmed over the last days.

Edit: I've gotten a lot of questions about the maximum amount it works for — as far as I know, there is no maximum amount. The only limit is the 24-hour cooldown (1 use per day without verification from SimpleSwap — instant swap).