You will get a custom Python LLM automation and OpenAI API integration
Project details
The market is flooded with developers who think calling the OpenAI API makes them an AI engineer. Writing a basic prompt script is easy, building a resilient architecture that handles rate limits, contextual memory, and vector databases without exposing your private company data to the public is an entirely different game.
I specialize in enterprise-grade Python LLM integrations. Whether you need a secure RAG system that reads your internal PDFs or a custom middleware connecting ChatGPT to your proprietary CRM, I build the bridge, we don't just pass text back and forth. We engineer robust data pipelines with strict JSON schemas, fallback logic, and cryptographic security, you are paying for infrastructure that doesn't break when OpenAI updates their endpoints. If you want a toy chatbot for fifty bucks, there are thousands of options out there, but if your operations rely on precise data extraction and autonomous agents that actually understand your business context, we need to architect a real system.
I specialize in enterprise-grade Python LLM integrations. Whether you need a secure RAG system that reads your internal PDFs or a custom middleware connecting ChatGPT to your proprietary CRM, I build the bridge, we don't just pass text back and forth. We engineer robust data pipelines with strict JSON schemas, fallback logic, and cryptographic security, you are paying for infrastructure that doesn't break when OpenAI updates their endpoints. If you want a toy chatbot for fifty bucks, there are thousands of options out there, but if your operations rely on precise data extraction and autonomous agents that actually understand your business context, we need to architect a real system.
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, BERT, ChatGPT, Google Sheets, GPT-3, Microsoft Excel, Microsoft Power BI, NLTK, NumPy, pandas, Python, scikit-learn, SciPy, Scrapy, SQL, Vertex AIWhat's included
| Service Tiers |
Starter
$450
|
Standard
$1,250
|
Advanced
$2,850
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 0 | 1 | 2 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
About Eduardo
Senior Anti-Bot Automation Engineer & Quant Developer (Python/C++)
Divinopolis, Brazil - 7:18 am local time
I am a Systems Engineer specialized in high-level automation and quantitative trading. I don't just write scripts. I build resilient, stealthy, and industrial-grade architectures. When it comes to anti-bot bypass and enterprise web extraction, I engineer custom headless browser stealth using Playwright, Puppeteer, and Selenium. I routinely reverse-engineer WebGL, Canvas, and WebRTC fingerprints. To bypass strict Datadome, PerimeterX, or Akamai checks, I deploy kernel-level hardware injection like virtual V4L2loopback devices. This allows complex DOM parsing and CAPTCHA circumvention for massive B2B data pipelines.
On the financial engineering side, I develop fail-safe Expert Advisors using C++ for MT4 and MT5. My algorithmic trading architectures rely heavily on Smart Money Concepts. I map liquidity sweeps, order blocks, and multi-timeframe price action entirely without lagging indicators. I also implement stealth trade management to hide stop losses and take profits from brokers, preventing virtual stop-outs. This includes real-time WebSockets integration and OS-level memory reading for dynamic web brokers. I only take on complex, high-value challenges. If your current bot is getting blocked or if you need a bulletproof financial engine ready to protect real capital, let's discuss your target and scale.
"At 6, I disassembled toys to understand their mechanics, by 12, I was captivated by the intersection of art and mathematics. I see the micro and macro connections like a musical arrangement, to me, everything is a grand opera; a harmony that makes my eyes shine."
Steps for completing your project
After purchasing the project, send requirements so Eduardo can start the project.
Delivery time starts when Eduardo receives requirements from you.
Eduardo works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture and Security Scoping
We map out your exact data flow and define the strict security parameters before a single line of code is written. I need to understand your endpoints and API limitations to prevent future bottlenecks.
Core Python Backend Engineering
I develop the middleware logic handling the API requests and vector embeddings. This is the heavy lifting where the actual reasoning engine is wired directly into your proprietary database.