Screenshots coming soon Visual walkthrough in progress
01
Cloud Infrastructure

VM Manager

A full-featured Azure Spot VM dashboard that makes it dead simple to spin up, manage, and monitor spot virtual machines across all Azure regions — slashing cloud costs by up to 90% without sacrificing control.

Key Features
  • Coverage across all 35 Azure regions
  • Real-time spot pricing comparison
  • 90% cost savings vs on-demand VMs
  • One-click VM provisioning & teardown
  • Eviction alerts and auto-restart policies
  • Cost tracking and usage dashboards
Tech Stack
Node.js Azure CLI Azure SDK Express React REST APIs
Screenshots coming soon Visual walkthrough in progress
02
AI / Media

AI Video Analyzer

An intelligent video analysis tool that handles large video files gracefully — breaking them into semantic chunks, maintaining session state across analyses, and extracting structured insights using LLMs regardless of format or length.

Key Features
  • Persistent session management
  • Smart chunking for long videos
  • Multi-format support (MP4, MOV, AVI, WebM)
  • Transcript extraction & summarization
  • Scene-level semantic indexing
  • Exportable insights in JSON / Markdown
Tech Stack
Python OpenAI API FFmpeg Whisper FastAPI SQLite
Screenshots coming soon Visual walkthrough in progress
03
AI / DevOps

AI-Powered Livesite Triage

Automated incident triage at Microsoft scale — uses LLMs to correlate alerts, surface root causes, and match incoming incidents to historical patterns, dramatically cutting mean time to resolution for on-call engineers.

Key Features
  • Automated root cause analysis
  • Incident pattern matching at scale
  • Alert correlation across services
  • On-call runbook auto-generation
  • Historical incident similarity search
  • Slack & Teams notification integration
Tech Stack
Python Azure OpenAI Kusto / KQL Azure Monitor Vector Search Cosmos DB
Screenshots coming soon Visual walkthrough in progress
04
AI / Automation

AI-Driven Engineering Workflows

A suite of ML-powered engineering automation tools — from A/B test analysis that surfaces statistical significance automatically, to performance regression detectors that catch slowdowns before they ship, to intelligent feature flag pipelines.

Key Features
  • A/B test automation & significance testing
  • Performance regression detection
  • Feature flag pipeline orchestration
  • Automated rollout gating
  • Statistical anomaly alerting
  • Experiment result summarization
Tech Stack
Python Azure ML Pandas Scikit-learn GitHub Actions Power BI