A hiring-manager friendly index of the systems, research work, deployment choices, costs, and tradeoffs behind the projects I want reviewers to inspect.
Working systems, reproducible benchmarks, deployment history, costs, failure modes, and direct paths to source material.
Completed studies and source-backed project records, ordered for fast technical review.
Architecture, Supabase Auth, Stripe billing, Pinecone retrieval, Azure ML benchmarks, release diagrams, costs, failure modes, and remaining evidence gaps.
Stateful n8n migration, an OpenClaw personal agent with scoped environment control, private Azure networking, GitHub OIDC delivery, exact cost attribution, failure analysis, controlled teardown, and recoverable lower-cost redesign.
Benchmark comparing the ViperMesh Blender harness against the Anthropic x Blender MCP server baseline, including elapsed time, reduced token usage, deterministic tool use, neutral LLM visual scoring, and Harneloop evidence.
Framework for agents to inspect real artifacts, trace failures, develop isolated harness candidates, validate regressions, and promote only evidence-backed improvements.
Handcrafted, community-curated, and synthetically generated n8n workflows for direct import, ML training, and retrieval-augmented workflow generation.
Work-in-progress study covering private vLLM model serving, LocalStack cloud targets, Terraform attack and remediation replay, security boundaries, release evidence, and current validation limits.
Business and public platform used to deliver client automations, integrate AI/ML systems into workflows and projects, provide technical consultancy, and historically offer end-to-end OpenClaw setup.
Each future page should cover executive summary, problem, constraints, requirements, architecture, security, deployment, operations, cost, results, tradeoffs, failure modes, improvements, repo/demo links, interview explanation, and resume bullets.