Hubert Nyadroh
Engineering next-generation business systems by merging core IT infrastructure with advanced Agentic AI, machine learning forecasting, and automated MLOps. Specializing in deploying secure, production-grade intelligent automation pipelines.
Core AI Capabilities
Autonomous AI Agents
Designing multi-agent frameworks that diagnose system requirements, refactor legacy code bases, upgrade runtime environments, and handle complex logic workflows autonomously.
Predictive Analytics
Constructing supervised classifiers, regression forecasts, and anomaly detection engines on high-frequency server logs and financial data arrays.
NLP & LLM Orchestration
Integrating large language models using Retrieval-Augmented Generation (RAG), vector databases, and custom prompt workflows for specialized context-aware automation.
MLOps & Security Automation
Establishing automated code deployment pipelines (CI/CD) on AWS/Azure/Heroku, model monitoring, and threat detection loops integrated with SIEM environments.
AI Project Portfolio
Smart Codebase Stack Migrator
An autonomous agent system that inspects configuration files, analyzes dependencies, automatically resolves code conflicts (such as yfinance MultiIndex flattening), and deploys the codebase to modernized stacks.
Predictive Telemetry Engine
Implements real-time charts and data pipelines fetching live financial tickers and streaming logs, cleaning the indexes, and plotting interactive Bokeh indicators.
Intelligent SIEM Anomaly Detector
Integrates Machine Learning classifiers inside Active Directory and Linux log collectors (Wazuh/Elastic Stack) to proactively quarantine compromised nodes based on authentication behavior.
Interactive AI Model Simulator
Configure the AI parameters below to run a mock model training and inference cycle directly in your browser.
Click "Initialize Simulation" to load parameters and run the prediction model.