A plugin for your agentic framework that optimizes code using the GEPA algorithm (Genetic-Pareto LLM-driven search).

Synth Python SDK for Managed Research, Research Factory, and GEPA/GELO optimizer workflows.

Claude Code for DSPy: Comprehensive CLI to Optimize Your DSPy Code. our AI-Powered DSPy Development Assistant

CLI text optimizer built on GEPA. Uses Agentic Coding CLI's as mutator and observer -- no api keys required

GEPAzilla: open-source GEPA prompt optimizer with datasets, scorers, and telemetry.

Local code search for AI agents: six fast, purpose-built tools that return ranked answers, not raw grep. Because maybe grep isn't all you need... 🍬

Evolving agent harnesses: a research program on how far N orchestrated calls of a small model can rival a frontier model. We evolve the harness (structure + prompts) with reflective optimizers + a verified-acceptance gate.

Self-evolve Gemini CLI instructions, commands, and skills via the gemini CLI itself — GA + GEPA/DSPy, with hard gates before apply.

GEPA and GELO optimizer runbooks, SDKs, and hosted optimizer surfaces for Synth.

Production-ready boilerplate for building and automatically optimizing LangChain RAG applications. Implements three-layer architecture: Build (LangChain) → Measure (MLflow) → Optimize (GEPA + MEGA).

A benchmark, alignment pipeline, and LLM-as-a-Judge for evaluating the clinical impact of ASR errors.

A physics-grounded, agent-driven digital twin for HP Metal Jet S100 3D printer

Prompt optimisation with GEPA: mine a compliance rubric from labelled decisions. 30% more violations caught, starting from a one-line prompt.

A brief experiment applying GEPA (optimize_anything) to automatically compress Python solutions on code.golf.

Budge is the experimentation platform for agents.

A reproducible framework that uses DSPy + GEPA-style optimization to auto-tune LLM prompting pipelines for BI workflows (SQL generation, KPI summaries, executive status packs). Optimizes multiple objectives simultaneously—answer quality/faithfulness, token cost, and runtime—using offline eval sets, structured scoring, and Pareto-front selection.

Agent evolution lab: evolve autonomous-agent skills, tools, prompts, datasets, and evaluation loops from real usage evidence

Applied AI & Python Engineer

kinn — a Bayesian diagnostic interview engine. Built with Opus 4.7 hackathon submission, Apr 21–28 2026.

Acoustic Semantic Instruction Register — LLM-guided hearing-device scene understanding and adaptive DSP parameter generation (DSPy + GEPA)