Architecting next-gen applications with intelligence at every layer
Full-stack engineer with 8+ years delivering production-grade systems across the entire technology spectrum. I bridge the gap between frontend experiences, scalable backends, cloud infrastructure, and AI/ML pipelines. Currently architecting intelligent systems that combine traditional software engineering with modern AI capabilities.
- 🚀 Currently: Leading full-stack AI initiatives at NeuroTech Labs
- 🎯 Focus Areas: Full-stack development · AI integration · Cloud-native architecture · MLOps
- 🏗️ Architecture Style: Event-driven microservices · Serverless · Edge computing
- 📚 Learning: Building LLM-powered applications · RAG systems · AI agents
- 💬 Ask me about: System design · AI integration patterns · Modern full-stack architecture
Full-stack AI chatbot with RAG · Next.js + FastAPI + LangChain + Pinecone
- Production-ready AI assistant with real-time streaming
- Enterprise knowledge base integration with vector search
- Multi-modal support (text, images, audio)
- Built-in evaluation and monitoring
Real-time analytics platform · React + Go + Kafka + ClickHouse
- Process 50K+ events/second with sub-second latency
- Interactive dashboards with live updates
- Advanced anomaly detection using ML models
- Complete observability stack
LLM orchestration framework · TypeScript + Python + LangGraph
- Complex multi-agent workflows with error recovery
- Built-in prompt management and versioning
- Cost tracking and optimization
- Deployment to cloud/edge environments
- 🥇 Top 100 - Global AI Hackathon 2025
- 📝 Published author on Towards Data Science (5+ articles)
- 🎤 Speaker at AWS re:Invent, PyCon, AI Dev Summit
- 🏗️ Architected systems serving 10M+ users across 50+ countries
- 📈 Scaled platforms from 0 → 1M DAU with 99.99% uptime