My technical core spans advanced LLM orchestrations—specifically maximizing the power of the Anthropic stack via the Model Context Protocol (MCP), advanced multi-agent configurations, and automated developer workflows—backed by a powerhouse background in heavy data engineering, complex scraping, and AWS Certified cloud architecture.
🚀 Generative AI & Agentic Architecture
I design and deploy intelligent, autonomous systems built for high-performance enterprise applications.
Anthropic Ecosystem Specialist: Expert in building custom Model Context Protocol (MCP) servers and clients using Python to securely connect Claude to external databases, enterprise codebases, and private APIs.
Claude Code & Workflow Automation: End-to-end integration of Claude Code into development loops to supercharge engineering velocity.
Agent Skills (skills.md) Architecture: Proficient in authoring, refining, and scaling Agent Skills—building reusable markdown-based instruction sets that Claude automatically discovers and executes for specific, context-aware engineering tasks.
Sub-agent Orchestration: Designing multi-agent systems using specialized Sub-agents to seamlessly delegate sub-tasks, manage tight context windows, and isolate complex workflows without polluting the main execution path.
LLM & RAG Frameworks: Advanced orchestration using GPT-4, Claude 3.5 Sonnet, LLaMA, and LangChain for secure Retrieval-Augmented Generation (RAG) and autonomous agents.
Model Optimization: Fine-tuning and deploying datasets via Amazon Bedrock, SageMaker HyperPods, and Google Cloud’s Vertex AI.
📊 Data Engineering & Web Automation at Scale
I design highly resilient, anti-fragile pipelines to extract, transform, and load data from the world's most complex digital environments.
High-Volume Data Extraction: Proven track record bypassing sophisticated anti-bot measures to scrape and structure data from high-security platforms (Amazon, Walmart, Home Depot, Wayfair, LinkedIn).
Modern Data Stack: Expert-level data modeling and warehousing in Snowflake, BigQuery, AWS Redshift, and Databricks.
Workflow Automation: Replaced manual operations with lightning-fast automation scripts using Selenium, Scrapy, Puppeteer, and Kafka.
☁️ Cloud Architecture, Full-Stack & DevOps
As an AWS Certified Solutions Architect, I build secure, fault-tolerant, containerized environments designed for 99.9% uptime.
KOLALU LLC earns an estimated $538/mo. That's 0.4× the typical agency and more than 97% of everyone we track.
Core Languages & Frameworks: Python (Expert), FastAPI, Kafka, Redis, and secure API design.
Containerization & Orchestration: Docker, Kubernetes, and secure cloud cluster management across AWS, Azure, and GCP.
Infrastructure as Code (IaC) & CI/CD: Zero-downtime deployments streamlined via Terraform, Jenkins, and GitHub Actions.
Business Fluency: I speak the language of architecture, security, and ROI. I prioritize absolute transparency, rigorous documentation, and clear milestones so projects finish on schedule and under budget.