Prysai Lab · Contributions · Core projects · Star history
I build and inspect AI systems that hold up beyond the demo: agents, retrieval, evaluation, and tool use in real developer workflows.
My background includes six years in network operations and four years as an independent developer, overlapping within the same broader period. This combination informs my current scope across operational continuity, technical implementation, and delivery coordination.
Since 2024, I have also been developing full-quantization training and fine-tuning workflows for image AI models.
AI agents · retrieval · evaluation · developer tools · reliable delivery
I work through the full agent engineering loop: choose the right model and context, connect tools safely, measure quality and failure modes, and turn what works into repeatable workflows.
The standard is simple: fewer impressive demos, more systems that can be tested, understood, and improved.
Prysai is my studio for product experiments and practical work around AI systems and developer tools—small, testable pieces designed to be inspected, measured, and reused.
A selective record of changes that made it into other people's codebases, docs, and releases. Each entry links directly to the merged work.
| Proof of work |
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| EVALUATION & OBSERVABILITY thangldw/ragops · PR #30 · merged Added an offline Phoenix recorded-score adapter with deterministic case-ID joins, synthetic fixtures, documentation, and tests. |
| AGENT TOOLING & COMPATIBILITY ag2ai/ag2 · PR #3148 · merged Added HEIC and HEIF MIME types to the Gemini image-input type path and covered the public factory with regression tests. |
| AGENT TOOLING & COMPATIBILITY mlflow/mlflow · PR #25000 · merged Preserved provider-specific usage metadata in the OpenAI-compatible gateway, with regression coverage for nested usage details. |
| AGENT TOOLING & DOCUMENTATION jupyterlab/jupyter-ai · PR #1639 · merged Added a concise interaction model explaining how chat, personas, ACP agents, model providers, and MCP tools fit together. |
| PACKAGING & OPERATIONS MSKazemi/kubeintellect · PR #111 · #105 · merged Updated the kube-q Homebrew formula with current release resources and documented v4 data-handling boundaries. |
| PERFORMANCE & DELIVERY squid-protocol/gitgalaxy · PR #1201 · merged Replaced manual append loops with extend-based recorder code and resolved the related Ruff performance findings. |
| AGENT TOOLING & COMPATIBILITY mastra-ai/mastra · PR #21147 · merged Fixed CommonJS schema compatibility by bundling the Zod conversion dependencies and adding regression coverage. |
| ACCESSIBILITY & EXPERIENCE felladrin/MiniSearch · PR #2324 · merged Capped staggered result animations and honored prefers-reduced-motion. |
| PRIVACY & EVALUATION seva9523/EvalRepro · PR #12 · merged Added --no-id_preview to suppress sample ID previews while preserving sample and field digests. |
| DOCUMENTATION & DEVELOPER EXPERIENCE abenneto/gandharva · PR #19 · merged Refined README formatting and section headers. |
Every entry above links to a public pull request confirmed as merged into its upstream repository.
A focused working set of upstream projects I study, use, or contribute to. The selection is about technical leverage, not repository size.
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RAGOps Evaluation infrastructure Offline evaluation and explainable release gates for RAG systems and agents. upstream · my fork |
PydanticAI Typed agent runtime Typed tools, structured outputs, and validation for production-minded agents. upstream · my fork |
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FastMCP Tool connectivity Protocol infrastructure for connecting MCP servers and clients. upstream · my fork |
Promptfoo Quality and safety gates Evaluation and red-teaming for prompts, agents, and RAG pipelines. upstream · my fork |
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Browser Use Real-world execution Browser control for tool-using agents and workflow automation. upstream · my fork |
Spec Kitty Developer workflow Spec-driven development and repeatable worktree workflows for serious projects. upstream · my fork |
These links point to upstream projects and my forks. They are study and contribution paths, not claims of original ownership.
One account-level signal: the total stars received by all public repositories over time. It is a trend for the account, not the star count of any single project.
All public repositories are included · forks contribute only their own stars · refreshed daily by GitHub Actions.
AI agents · RAG · LLM evaluation · MCP · developer tools · Codex workflows
Building in public, one reliable workflow at a time.