I am an aspiring AI Engineer focused on building practical AI systems for real-world business use cases.
My work combines AI agents, voice interfaces, automation, mobile applications, and cloud infrastructure to create products that solve operational problems for businesses and users.
Over the past year, I have worked on projects including AI receptionists, voice agents, WhatsApp automation systems, multimodal surveillance platforms, RAG-based knowledge assistants, and AI-powered mobile applications.
- Building Voice AI agents using LiveKit and WebRTC
- Developing Agentic AI systems with MCP, memory, and tool integrations
- Creating AI-powered business automation solutions
- Deploying scalable applications on GCP, Azure, and AWS
- Expanding expertise in backend systems and cloud architecture
🤖 AI Agents & Automation
- AI receptionists for businesses
- Voice AI assistants
- Multi-agent workflows
- WhatsApp automation systems
- Tool-integrated AI agents
🧠 Knowledge & Retrieval Systems
- RAG applications
- Web-crawling knowledge assistants
- Vector databases
- Long-term memory architectures
📱 Applications
- Flutter mobile apps
- Internal business tools
- AI-enhanced productivity applications
☁️ Cloud & Infrastructure
- GCP deployments
- Dockerized services
- CI/CD pipelines
- Real-time communication systems
AI & Agents: OpenAI, LangChain, MCP, RAG, LiveKit, WebRTC, Supermemory
Languages: Python, Dart, JavaScript, Java, SQL, C++
Frameworks: Flutter, FastAPI, Flask, Streamlit
Cloud: GCP, Azure, AWS
Databases: PostgreSQL, Supabase, Firestore, ChromaDB, SQLite
To grow into a strong Applied AI Engineer by building production-ready AI systems that create measurable value for businesses and users.