Projects

My Projects

Case studies and open-source accelerators from shipping resilient mobile platforms, Expo upgrades, AWS microservices, and AI-assisted delivery workflows for growth-stage teams.

Insight-Bridge

TypeScript MCP analytics server that lets AI assistants connect to Azure Data Explorer, inspect schemas, and execute natural-language analytics workflows through structured tools.

Open Source

Node.js · TypeScript

MCPanalyticsAzureAI agentsopen source

Natural-Language ADX Queries: Exposes assistant-friendly tools for connection setup, schema discovery, function inspection, and query execution against Azure Data Explorer.
Provider-Based Architecture: Structured the server so Azure Data Explorer is the first analytics provider, with room to add more backends without rewriting tool contracts.
Package-Ready Delivery: Added environment-based config, tests, CI/CD, and developer docs so the project can be consumed and extended like a production package.

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OpenCode TaskMemory

TypeScript OpenCode plugin that gives agents session-scoped markdown memory so multi-step workflows can persist context, notes, and handoff data across tasks.

Open Source

Node.js · TypeScript

OpenCodepluginagent memorymarkdownopen source

Session-Scoped Memory Tools: Implemented lookup, write, append, read, list, and delete operations so agents can keep working memory tied to a single OpenCode session.
Markdown-First Persistence: Used plain markdown files to keep context durable, inspectable, and easy to diff during long-running agent workflows.
Reusable Package Exports: Packaged the file-store factory as reusable exports with build, test, docs, and release workflows for npm delivery.

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GCP Risk Analyzer

Python CLI that audits Google Cloud projects for high-risk security gaps across Vertex AI, Cloud Storage, and IAM, with prioritized findings and CI-friendly reporting.

Open Source

Python · GCP

securityGCPCLIauditopen source

Prioritized Risk Checks: Flags public notebooks, unrestricted proxy access, exposed IAM bindings, primitive roles, and missing bucket KMS controls with severity-based output.
CLI and Library Usage: Supports direct command-line audits and programmatic usage so teams can run the analyzer locally or wire it into automated security workflows.
Secure Delivery Workflow: Added unit and integration tests, coverage checks, SAST, dependency scanning, and GitHub Actions CI for repeatable release confidence.

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Humanizer

AI-assisted rewriting tool that turns flat AI-generated drafts into natural, human-sounding writing through a multi-pass editing pipeline with visible diffs.

Active

Launched 2025TypeScript · Next.js

AI writingLLMeditingdiff UIcontent quality

Multi-Pass Rewrite Pipeline: Applies focused passes for tone, structure, redundancy, and rhythm instead of relying on a single prompt rewrite.
Diff-Based Review: Shows exactly what changed so users can audit edits quickly and catch semantic drift before publishing.
Mode-Aware Controls: Separate Academic and Blog modes preserve the right level of structure and constraints for different writing contexts.

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Microservice Resilience Simulator

Interactive simulator that visualizes failure modes, retry storms, and resilience patterns under load so engineers can study system behavior instead of reading static diagrams.

Active

Launched 2025TypeScript · Next.js

microservicesresiliencesimulationeducationdistributed systems

Failure Mode Visualization: Models request flow, latency propagation, retry storms, and cascading failures with real-time topology and metric feedback.
Resilience Pattern Lab: Demonstrates timeouts, retries, circuit breakers, rate limiting, and bulkheads in a form engineers can test interactively.
Teaching-Oriented UX: Turns backend architecture concepts into a usable learning surface for engineers, students, and interview prep.

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Earthquake Data Platform

Serverless ingestion and analytics platform that captures earthquake events, stores them in a query-friendly model, and exposes operational insight through a live dashboard.

Active

Launched 2025TypeScript · AWS API Gateway

data platformserverlessanalyticsAWSdashboard

Event Ingestion Pipeline: Handles data ingestion and querying through API Gateway and Lambda with an architecture designed to stay reproducible in local development.
Query-Oriented DynamoDB Design: Uses single-table patterns and GSIs to support time-ordered queries and operational exploration without bolting on a second storage path.
Operational Dashboard: Combines live earthquake visualization with admin metrics so the project works as both a learning platform and a usable monitoring surface.

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Traffic Lab

Traffic and load-balancing simulator that shows how request distribution, queueing, saturation, and failure behavior change with or without a balancer in front of a backend fleet.

Active

Launched 2025TypeScript · React

load balancingtrafficsimulationbackendsystems

Scenario Comparison: Compares normal, burst, and overload traffic patterns so users can see how balancing changes latency, errors, and dropped requests.
Fleet Behavior Visualization: Makes backend saturation, queue growth, and uneven request distribution visible instead of leaving them buried in metrics tables.
Systems Learning Tool: Useful for explaining traffic shaping and backend capacity concepts to engineers without requiring cloud infrastructure.

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