Agentic AI Developer | Hackathon Technical Lead | AI Innovation Explorer
Building the future of autonomous AI systems, one agent at a time
I'm a student pursuing Agentic AI Development at Panaversity, specializing in autonomous AI systems that don't just chat—they actually complete complex, multi-step workflows.
Current Focus:
- 🤖 Developing agentic AI systems with specification-driven development
- 🏆 Completing 5 comprehensive hackathons in 3 weeks using my "Hackathon Completion Engine"
- 🧠 Exploring innovative AI paradigms: learning from AI mistakes rather than avoiding them
- 🔧 Building production-ready AI applications with real-world agency
Tech Stack: Next.js, FastAPI, RAG Chatbot, Gemini API, Vercel
Comprehensive textbook platform with integrated RAG chatbot using Spec-Kit Plus methodology. Deployed to production with full CI/CD pipeline.
Key Features:
- 📚 Interactive AI-powered learning companion
- 🔍 Advanced semantic search across technical content
- 💬 Context-aware chatbot with document retrieval
- 🎨 Production-grade UI/UX with responsive design
Tech Stack: Microservices, FastAPI, Kubernetes, Docker
AI learning platform featuring five specialized AI agents for personalized programming education.
Architecture Highlights:
- 🏗️ Microservices architecture with container orchestration
- 🤖 Multiple AI agents for different learning aspects
- ☸️ Kubernetes deployment with auto-scaling
- 📊 Real-time progress tracking and analytics
Tech Stack: FastAPI, ChatGPT API, Zero-Backend Architecture
Hackathon IV project implementing constitutional rules for LLM-based course management.
Innovation:
- 🚫 Zero traditional backend dependencies
- ⚡ Direct LLM-to-frontend architecture
- 📜 Constitutional AI rules implementation
- 🔐 Secure API key management
39 Skills Across 8 Categories
Comprehensive skill repository consolidating tools from multiple hackathon projects.
Categories: Document Processing, PDF Tools, Automation, Development, Data Analysis, Browser Control, File Management, Integration Tools
const asadullah = {
languages: ["TypeScript", "JavaScript", "Python"],
frameworks: {
frontend: ["React", "Next.js"],
backend: ["FastAPI", "Node.js"],
ai: ["LangChain", "RAG Systems", "Agentic Workflows"]
},
tools: ["Docker", "Kubernetes", "SpecifyKit SDK", "Claude Pro"],
focus: ["Generative AI", "Agentic AI", "Full-stack Development"],
methodology: "Specification-First Development (Spec-Kit Plus)",
currentlyLearning: ["MCP Servers", "Autonomous AI Agents", "Production AI Systems"],
architecture: ["Microservices", "Event-Driven", "Zero-Backend LLM"],
environment: "Windows 11 + Ubuntu WSL"
};Panaversity Hackathon Series - Personal AI Employee FTE System
| Hackathon | Project | Status | Tech Stack |
|---|---|---|---|
| H-I | Physical AI Textbook Platform | ✅ Completed | Next.js, RAG, Gemini API |
| H-II | LearnFlow AI Platform | ✅ Completed | Microservices, K8s |
| H-IV | Course Companion FTE | 🚧 In Progress | FastAPI, ChatGPT, Zero-Backend |
| H-0 | Hackathon Completion Engine | 🚧 Meta-System | Spec Generator, Automation |
| H-V | TBD | 📋 Planned | - |
Approach: Using a meta "Hackathon Completion Engine" to systematically complete all 5 hackathons in 3 weeks instead of building them individually.
"Traditional approach: Avoid AI mistakes
My approach: Learn FROM AI mistakes
Because real innovation happens at the edges of failure."
I believe in:
- 📝 Spec-First Development - Clear specifications before code
- 🔄 Iterative Learning - Embracing mistakes as data
- 🤝 AI as Collaborator - Not just a tool, but a thinking partner
- 🏗️ Production Quality - Every project deployment-ready
- 🌐 Open Source - Sharing knowledge to elevate the community
📺 YouTube: Building AI systems, hackathon walkthroughs, and technical tutorials
✍️ Medium: Deep dives into agentic AI, development workflows, and tech innovations
🔗 All Links: Check out my Linktree for everything
- Claude Cowork: The AI Agent That Actually Does Your Work
- Building Production-Ready RAG Systems
- Spec-Driven Development for AI Applications
- Complete all 5 Panaversity Hackathons with production-quality projects
- Contribute to 3+ open-source AI/ML projects
- Publish 24+ technical articles and videos
- Build a fully autonomous multi-agent system
- Launch a course on Specification-Driven AI Development
- Establish thought leadership in Agentic AI space
- Grow YouTube channel to 1K+ subscribers
🔬 Research Interests:
- Autonomous agent architectures
- Constitutional AI and safety mechanisms
- Zero-backend LLM architectures
- Spec-driven development for AI systems
- Multi-agent coordination systems
🛠️ Building With:
- Claude API (Anthropic)
- OpenAI GPT-4
- Google Gemini
- MCP (Model Context Protocol)
- SpecifyKit SDK
I'm always interested in:
- 🤝 Collaborating on AI/ML projects
- 💬 Discussing agentic AI architectures
- 🏆 Hackathon partnerships
- 📚 Knowledge sharing and mentorship
- 🚀 Innovative AI use cases
Find me on:
I actively contribute to the AI/ML community through:
- 📦 Reusable AI tools and libraries
- 📖 Documentation and tutorials
- 🐛 Bug reports and feature requests
- 💡 Discussion and ideation
- 🎥 Video content and walkthroughs
Core Beliefs:
- AI should be agentic, not just conversational
- Specifications are more valuable than code
- Production quality should be the default, not the exception
- The future belongs to those who learn from AI, not just with it
- True innovation requires systematic experimentation