👋 Hi, I'm Akaash Thawani
AI & Software Engineer | Building Agentic Systems | Open Source Contributor

🚀 About Me
I'm a software engineer specializing in AI-driven automation systems and agentic workflows. I build scalable backend architectures that orchestrate complex reasoning across multiple AI agents, with a focus on production-ready LLM applications.
const akaash = {
focus: ["AI Orchestration", "Backend Architecture", "Cloud-Native Systems"],
currentlyBuilding: "Multi-agent systems for workflow automation",
learning: ["LLM Evaluation Frameworks", "Advanced GCP Deployments"],
openTo: "Collaborations on AI infrastructure & developer tools"
};
🔥 Featured Projects
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AI orchestration platform for automating text-driven workflows with multi-agent coordination
Tech: Python • LangChain • FastAPI • Docker
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🤖 AI Sales Order Automation
Backend system that parses, validates, and generates structured sales orders using LLMs
Tech: OpenAI • Gemini • PostgreSQL • GCP
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🌟 Open Source Contributions
Implemented native Google Drive file picker for Bubble Studio, enabling seamless file selection directly from input fields.
Key Contributions:
- 🎯 Built React component with TypeScript for Drive file selection
- 🔐 Implemented OAuth token caching (1-hour TTL) to minimize auth popups
- 🎨 Integrated picker UI with automatic file type detection
- 📦 Created modular services:
GoogleFilePicker, useGooglePicker hook, googlePickerService
Impact: Improved user experience by eliminating manual file ID entry
🛠️ Tech Stack
📚 Currently Learning
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🤖 AI Systems
- LLM Orchestration (CrewAI)
- Agent Evaluation (LangSmith, Phoenix)
- RAG Optimization
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☁️ Cloud & DevOps
- GCP Deployment Automation
- Advanced Docker Networking
- GitHub Actions Workflows
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⚡ Frameworks
- Next.js 15 App Router
- FastAPI Async Patterns
- Microservices Architecture
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📊 GitHub Stats
💬 Let's Connect
I'm always interested in collaborating on AI infrastructure projects, agentic systems, or backend architecture challenges. Feel free to reach out!

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