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You will get NLP consultation with detailed plan
Top Rated
Project details
Get a 30 mins zoom meeting with Cat - the Lead Data Scientist and Founder of Super Cat Technology Limited.
An award-winning agency in Hong Kong and UK
An award-winning agency in Hong Kong and UK
AI Algorithms
Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Recurrent Neural NetworkAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AI-Enhanced Medical Imaging, AI-Generated Video, Conversational AIAI Tools
GitHub Copilot, Gradio, Hugging Face, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, BLOOM, ChatGPT, GPT-3, GPT-4, LLaMA, OpenAI Codex, Stable DiffusionWhat's included $100
These options are included with the project scope.
$100
- Delivery Time 1 day
- AI Model Integration
- Model Documentation
- Model Testing & Optimization
- Natural Language Processing
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GT
G T.
May 22, 2026
30 minute consultation
LB
Louis B.
Dec 15, 2025
30 minute consultation
Very happy
CT
Ciprian Mihai T.
Oct 27, 2025
60 minute consultation
ZH
Zulfiqar H.
Sep 19, 2025
ML Advisor - CTO Roadmap Review
Very highly recommend working with Cat. The quality of work, going the extra mile & idea/assistance given were truly outstanding. We will continue to work with Cat on many projects in the future.
JS
Josh S.
Aug 28, 2025
Voice AI Custom Development
Cat is a talented Python and AI developer, she has a great attitude, quick learner, and overall fantastic experience!
About Cat
AI Voice Agent | Enterprise RAG | LangGraph | Fractional CTO
100%
Job Success
London, United Kingdom - 5:34 pm local time
🏆 𝗘𝘅𝗽𝗲𝗿𝘁-𝗩𝗲𝘁𝘁𝗲𝗱 on Upwork, top 𝟭% of all freelancers platform-wide
📊 $𝟭𝟬𝟬𝗞+ earned across 𝟮𝟭 AI agent, RAG, and LLM engagements, 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀, 𝟭𝟬𝟬% JSS
🎯 𝟭,𝟭𝟱𝟮+ hours on AI agent, RAG chatbot, and LLM fine-tuning contracts
⚡ Founder of Super Cat Technology, an AI agent engineering team in 𝗛𝗼𝗻𝗴 𝗞𝗼𝗻𝗴 and 𝗟𝗼𝗻𝗱𝗼𝗻
💼 AI voice agent live in production at a US enterprise, plus enterprise RAG inside a 𝗕𝗶𝗴 𝟰 accounting firm
⭐⭐⭐⭐⭐ "Very highly recommend working with Cat. The quality of work, going the extra mile and idea or assistance given were truly outstanding. We will continue to work with Cat on many projects." (ML Advisor and CTO Roadmap client, 2025 Upwork engagement)
I build AI agent systems for production, not pilot demos. I'm Cat, Founder and Fractional CTO at Super Cat Technology. Over a decade in production AI, NLP, and machine learning. For the last three years my focus has been AI voice agent and enterprise RAG deployments running 24/7 with evaluations, observability, and domain-specific LLM fine-tuning under the hood. As an AI agent engineer, my job is to close the gap between a working prototype and a system your ops team can trust at 2am.
🔶 𝗕𝗶𝗴 𝟰 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝗶𝗻𝗴 𝗳𝗶𝗿𝗺: enterprise RAG chatbot for junior auditors, multimodal RAG with OCR over compliance whitepapers and audit guidelines
🔶 𝗨𝗦 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲, 𝟱,𝟬𝟬𝟬+ 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀: 24/7 AI voice agent CSR call center with telephony, appointment booking, and AI agent tool-calling
🔶 𝗙𝗮𝗺𝗶𝗹𝘆 𝗼𝗳𝗳𝗶𝗰𝗲 𝗰𝗹𝗶𝗲𝗻𝘁: fine-tuned LLM with RAG over financial research, macro data, and portfolio holdings for an AI agent investment workflow
🔶 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗯𝘂𝗶𝗹𝗱 ($𝟯𝟳𝗞, 𝟮𝟰𝟳 𝗵𝗿𝘀): AI voice agent for a commercial voice product, 5-star feedback
🔶 𝗣𝗿𝗼𝗽𝗲𝗿𝘁𝘆 𝘁𝗲𝗰𝗵 𝗦𝗮𝗮𝗦: AI agent NL query layer for natural-language property search
𝗪𝗛𝗔𝗧 𝗜 𝗗𝗢
✅ AI Voice Agent Development on LiveKit and similar stacks, with telephony, tool-calling, and 24/7 reliability for enterprise CSR, sales, and internal ops
✅ Enterprise RAG Chatbot Engineering: multimodal RAG pipelines over compliance libraries and internal knowledge bases, with OCR and table-parsing for semi-structured docs
✅ LLM Fine-Tuning on open-source models (Llama, Qwen 2.5, Phi, Deepseek, LLaVA) to ground AI agent behavior in domain-specific language and data
✅ AI Agent Architecture on LangGraph, LangChain, AutoGen, CrewAI, and SmolAgents, plus MCP servers connecting AI agent workflows to live business systems
✅ GraphRAG and LightRAG on Neo4J for structured-knowledge AI agent use cases where vector search alone is not enough
✅ Multimodal AI, VLM, and Enterprise OCR (CLIP, LLaVA, PaddleOCR, YOLO) feeding AI agent document understanding
✅ Fractional CTO and Technical Advisory: AI agent roadmap, architecture review, and team build to turn an AI agent prototype into production revenue
𝗪𝗛𝗢 𝗜 𝗪𝗢𝗥𝗞 𝗪𝗜𝗧𝗛
🎯 Enterprise teams building AI voice agent and AI agent systems for customer service, sales, and internal ops, not one-off assistant pilots
🎯 Financial services, family offices, Web3, supply chain, and medical or regulatory-heavy organizations with real data and real AI agent stakes
🎯 Funded startups ready to move an AI agent MVP into production, not idea-stage brainstorming
🎯 Clients on time-and-materials or monthly retainer engagements who value senior AI agent engineering judgment over the lowest hourly bid
𝗠𝗬 𝗣𝗥𝗢𝗖𝗘𝗦𝗦
1️⃣ Discovery: walk through your AI voice agent or RAG use case, current stack, data realities, and what AI agent production actually needs to look like
2️⃣ Architecture proposal: AI agent flow, tool boundaries, fallback behavior, evaluation plan, and a realistic scope estimate, delivered within a week
3️⃣ Build and ship: production-grade AI agent system with evaluations, regression tests, and LLMOps tooling, not a demo that falls over on real traffic
4️⃣ Handoff or stay: train your team, or stay on as Fractional CTO while the AI agent matures in the wild
Send me a message or invite me to your AI voice agent, enterprise RAG, or AI agent project. I respond within a few hours, 7 days a week, across US, UK, and EU time zones.
Steps for completing your project
After purchasing the project, send requirements so Cat can start the project.
Delivery time starts when Cat receives requirements from you.
Cat works on your project following the steps below.
Revisions may occur after the delivery date.
Pre-meeting
Send me an Upwork message for whats your current business and I will review it before conducting the all.