AI & Intelligent Systems

Build smarter.
Ship agents that actually work.

Hands-on AI consulting from a Principal Engineer with 25+ years building production systems. Not slide decks -- working agents, real pipelines, measurable outcomes.

Toolkit

Languages Python, Go, Rust, TypeScript
AI / ML LangChain, LangGraph, Claude API, OpenAI API, Hugging Face, multi-agent orchestration, intent routing, custom agent frameworks
Retrieval & Search RAG pipelines, vector stores (Pinecone, pgvector, Chroma), semantic search, embedding models, taxonomy generation
Data BigQuery, Snowflake, PostgreSQL, Redis, event-driven pipelines
Cloud GCP, AWS, containerized deployments, IaC
Process CI/CD, observability, test-driven development, design review

What I build

Agentic Workflows

End-to-end agent architectures that handle real business processes. Intent routing, orchestration logic, multi-agent coordination, human-in-the-loop checkpoints, and structured output -- designed for reliability, not demos.

LLM Tooling & Dev Process

Custom LLM-powered developer tools, code review agents, automated workflows. Integrating AI into the places where your engineering team actually needs leverage.

Analytics Agents

Agents that explore, query, and surface insights from BigQuery and Snowflake-backed stores. Progressive discovery over large datasets -- not just SQL generation, but building semantic understanding of your data, identifying patterns, and knowing what questions to ask next.

Proof of Concept to Production

Fast, focused POCs on multi-agent workflows, intent routing, and complex agentic patterns. Then a real path to production with observability, error handling, and scale -- because a demo that can't ship is just a toy.

AI Integration & Strategy

Where does AI actually fit in your stack? RAG pipelines over your existing data, semantic search and taxonomy for your domain, vector store architecture, and embedding strategy -- integrated into your platform, not bolted on. No hype, just engineering.

Progressive Discovery Agents

Autonomous agents that explore codebases, data stores, and documentation to build structured knowledge maps. Context-aware, iterative, and designed to learn as they go -- turning unstructured information into searchable, actionable intelligence.

Who

Bryan Grimes -- 25+ years shipping production systems, from OCR scanning software in '99 to agentic AI workflows today.

Currently a Principal Product Engineer & Architect at a high-growth ecommerce platform, leading architecture for analytics products and real-time data systems. Previously Engineering Director of Core and Retail Platforms at Gopuff, VP of Product & Engineering at PeopleMetrics, Cloud Architect at NRG Energy.

I've been running Bearded Giant LLC since 2014 -- helping startups to Fortune 500s make smart technical, organizational, and scaling decisions. The AI practice is the natural extension: the same pragmatic, ship-it approach applied to agents, LLMs, and intelligent systems.

Based in Philadelphia, PA
Focus Agentic AI, Data, Platform Architecture

Let's talk

Got a problem that needs an agent, a pipeline that needs intelligence, or a team that needs direction on AI adoption? Reach out.

bryan@beardedgiantllc.com LinkedIn GitHub