You will get Custom Enterprise Multi-Agent Orchestration for B2B Workflows
Rising Talent

Project details
I architect autonomous, error-free infrastructure for complex business operations. In an enterprise environment, AI hallucinations cost reputation and capital. I solve this by building sovereign multi-agent systems that operate with deterministic precision.Using my proprietary Psiquis-X framework, I design private ecosystems where specialized agents collaborate on high-stakes workflows:RFP & Compliance: Ingesting complex government PDFs (SAM.gov) to draft bids autonomously.High-Throughput ETL: Asynchronous data pipelines utilizing Playwright and Scrapy for real-time market data.Autonomous DevOps: Generating code repositories and cloud scaffolding with zero manual input.My systems feature 70/30 Human-AI Integration and utilize the Cortex Router to slash API costs by 40-60%. If you are ready to eliminate operational bottlenecks with autonomous precision, let’s talk
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI-Generated Code, Automatic Speech Recognition, Sentiment AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, NVIDIA AI Platform, StreamlitAI Models
BERT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$1,200
|
Standard
$2,800
|
Advanced
$5,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 2 | 3 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | ||
Natural Language Processing | |||
NLP Tokenization | - | ||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | |
Source Code |
About Bruno
AI Solutions Architect | Systems for Finance & Bussines automation
Mexico City, Mexico - 7:37 am local time
If you are looking for basic API wrappers or simple chatbots, we are not a good fit. I specialize in designing autonomous, multi-agent systems that execute complex B2B tasks, financial audits, and algorithmic trading logic with mathematical precision.
My work is built on private multi-agent frameworks using LangGraph. These systems process heavy unstructured data and route decisions autonomously, while maintaining strict human governance over risk parameters. The goal is simple: eliminate AI hallucinations and guarantee verifiable, strictly structured outputs that businesses can trust.
Recent operational impact I have delivered for clients:
Built an autonomous financial auditor that ingested 3 years of complex institutional reports, extracted metrics, and generated a variance dashboard in under 5 minutes for less than $0.05 in API costs.
Redesigned legacy execution frameworks using asynchronous programming to reduce High-Frequency Trading (HFT) network latency by over 80%.
Architected automated DevOps pipelines that dynamically generate production-ready code repositories and enterprise RFP drafts in seconds.
My core services focus on high-throughput data pipelines, private multi-agent orchestration, and algorithmic execution engines. I build robust backend architectures that slash operational hours and drastically reduce LLM API costs.
If your goal is to replace manual operational bottlenecks with scalable, error-free AI infrastructure, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Bruno can start the project.
Delivery time starts when Bruno receives requirements from you.
Bruno works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Strategic Architecture
Analysis of business logic to design the multi-agent graph, establishing orchestration hierarchy and validation protocols.
Core Engineering & Logic Orchestration
Building autonomous loops and integrating the Cortex Router to optimize model dispatching and slash operational API costs.