Current

Multi-Agent LLM Systems

An FSM-based framework for orchestrating multi-agent software-development workflows: automated code generation, testing, and execution against benchmarks like HumanEval+. Includes hierarchical expert teams that decompose hard problems via specialized roles, plus evolutionary optimization of prompts and team composition.

FSM LLM Multi-Agent Evolution

Caesar: Autonomous Knowledge Agents

Autonomous web-exploration agent that constructs a graph-based knowledge base from its discoveries. Performs creative Q&A synthesis through iterative knowledge-graph querying and adversarial refinement, scaling inference-time compute toward state-of-the-art creative outputs.

Agents Knowledge Graph Inference-Time Compute

Foundational Work

CoDeepNEAT: Neural Architecture Search

A novel algorithm that automatically discovers optimal deep architectures by coevolving both macro and micro structure. Scaled to large distributed environments with hundreds of GPUs and applied across vision and language tasks.

NAS Neuroevolution Distributed

MEA: Evolutionary Bilevel Optimization

Meta-evolutionary bilevel algorithm for complex control problems, applied to challenging tasks including helicopter hovering and sparse-reward RL, optimizing topology and weights simultaneously where gradient-based RL struggles to converge.

Evolution RL Control

EPBT: Population-Based Training

Evolves neural-network hyperparameters and loss functions during training. Backed by scalable distributed infrastructure for large-scale evolutionary optimization in parallel with gradient-based learning.

PBT AutoML Distributed

Code Archaeologist

Agentic system that reasons over repository histories (Git/LFS) to detect architectural patterns, surface technical debt, and support large-scale code understanding.

Agents Code Analysis

Technical Skills & Expertise

Core Research

Inference-Time Compute Scaling · Agentic Reasoning (System 2) · Associative Synthesis · Population-Based Optimization · Neural Architecture Search · Neuroevolution · Recursive Self-Improvement · Meta-Learning

Agent Infrastructure

Graph-Augmented RAG · Stateful Agentic Memory · Multi-Agent Orchestration · FSM-Based Coordination · LLM-as-a-Judge Evaluation · Evolutionary Prompt Optimization

Languages & Tooling

Python (Advanced) · Keras / TensorFlow · Frontier LLM APIs · Multi-Agent Frameworks (AutoGen, MetaGPT) · Automated Web Parsing