Developer tools designed around one idea: reduce the time between confusion and clarity.
“What your LLM sees, stays safe.”
Python package and MCP server that intercepts LLM requests and redacts secrets, API keys, and PII — replacing them with typed placeholders in an ephemeral vault. Ships as a CLI for pipeline use and an MCP server for native AI agent integration.
“Find which files will hurt the most when they break.”
Scores every module in your codebase by risk — centrality, dependents, circular chains. For AI workflows, acts as a context prioritizer: feed high-risk files first into your LLM so it focuses where breakage matters most.
“Stop guessing what to test next.”
Maps tests to the functions they cover, then renders it as a dependency graph. Surgical visual map of what's untested and exactly which tests break if a function changes.
“Your git history has a story. This reads it.”
Analyzes full git history — commit patterns, file churn, co-change clusters, author bursts — and synthesizes it into a human-readable narrative document.
Software Engineer with 7+ years of experience building scalable, high-performance applications across enterprise software, document processing systems, microservice architectures, and IoT platforms.
Core expertise in .NET, C#, SQL Server, RabbitMQ, distributed systems, and backend architecture. Recently focused on building AI-native applications — designing intelligent workflows powered by RAG, Knowledge Graphs, LangChain, LangGraph, and Composio.
Have a project in mind, want to collaborate, or just want to say hello? I'd love to hear from you.