I will build custom ai applications, llm integrations, and rag pipelines


About this gig
Stop Paying for Basic ChatGPT Wrappers. Invest in Enterprise AI!
I don't just write scripts; I architect robust, highly scalable, zero-hallucination AI pipelines designed to automate your complex workflows.
What I Offer:
- Advanced LLM Integrations: Embed top-tier models (GPT-5, OpenAI o-series, Claude 4, Gemini 2.5, or advanced open-source models like Llama 4) via highly optimized, asynchronous Python APIs.
- Enterprise Multimodal RAG: Stop AI hallucinations. I build custom Retrieval-Augmented Generation systems (using Redis/Pinecone). Your AI will interact with 100% accuracy based ONLY on your private data parsing massive PDFs, CSVs, and complex technical diagrams.
- Autonomous AI Agents: I build intelligent workflows (LangChain, LangGraph) that take real action. From web browsing and executing code to database interactions, fully automating your daily operations.
Why Choose Me? Backed by a rigorous foundation in Deep Learning and Computer Vision (PyTorch/TensorFlow), I understand the math behind the models. Expect clean, secure, and production-ready Python code.
IMPORTANT: Please message me BEFORE ordering so we can architect the perfect technical solution for your exact use case!
Get to know Trinh Trong
AI Engineer
- FromVietnam
- Member sinceMay 2026
- Avg. response time1 hour
Languages
English, Vietnamese
FAQ
Do I need to provide my own API keys (OpenAI/Gemini)?
Yes, for deployment and extensive testing, you will need to provide your own API keys. If you don't have them yet, I can guide you step-by-step on how to generate them safely.
What types of files can your RAG system process?
I can build data pipelines to process structured and unstructured data, including PDFs, CSVs, TXT, JSON, and even scrape live websites to feed into the AI.
Can your AI process images, charts, or technical diagrams, not just text?
Absolutely. I specialize in Multimodal AI. Using advanced vision models and state-of-the-art document parsing algorithms, I can build systems that understand complex assembly diagrams, charts, and scanned PDFs, turning them into actionable data.
How fast is the RAG system? I have gigabytes of unstructured data and need low latency.
Performance is my priority. I optimize Vector DB architectures (such as Redis) and implement efficient chunking and indexing strategies. This ensures high-accuracy retrieval with sub-second query processing, regardless of your dataset size.
Can you integrate the AI agent directly into my existing backend/software?
Yes. I don't just write scripts; I build robust APIs (using FastAPI/Flask) ensuring the AI pipeline seamlessly and securely connects with your current system architecture.
