- 🚀 Building modern web applications and AI-powered tools.
- 🤖 Exploring LLMs, RAG, vector databases, and AI automation.
- 📊 Interested in analytics, forecasting, and data-driven decisions.
- 🌐 Working with modern frontend technologies and backend integrations.
- 🎯 Focused on building practical solutions to real-world problems.
Frontend: React · Next.js · TypeScript · JavaScript
AI & Data: Python · LLMs · RAG · Embeddings · Vector Databases
Tools & Platforms: Git · GitHub · REST APIs · SQL
- AI-powered assistants and retrieval systems
- Web applications and reusable UI components
- Marketing automation and data analytics workflows
- Tools that improve performance and productivity
| Repository | Focus | What It Does |
|---|---|---|
🚀 agencyskills |
Flagship Suite | 12 production agent skills & 2 orchestrated workflows for multi-client performance marketing agencies. |
🛡️ brief-gate |
Quality Gate | Deterministic quality gate for AI marketing copy. Evaluates assets against briefs using regex and constraint checking. |
📊 adaudit |
Ad Account Auditor | Zero-login ad account auditor. Drop in Meta or Google Ads CSV exports to identify wasted spend and creative fatigue. |
🪝 adhooklib |
Open Dataset & CLI | Structured corpus of 100+ proven performance ad hooks tagged by angle, vertical, and emotional trigger. |
💬 wa-kit |
Conversational Kit | Agent-native WhatsApp campaign kit: Meta pre-approved templates and compliant double opt-in flows. |
🌐 localize |
Global Transcreation | Multi-market campaign adaptation engine with Right-to-Left (RTL) specs and regional seasonality calendars. |
- GitHub: @shahankhushi
Building, learning, and improving — one project at a time. ✨