I design and build scalable, production-ready applications powered by AI.

From backend architecture and frontend systems to AI pipelines and real-time applications, I specialize in building intelligent software that performs at scale.

• RAG pipelines & vector search systems
• Multi-agent architectures
• Real-time AI (Voice, Video, WebRTC)
• Model training & deployment (PyTorch / TensorFlow)
• AI automation & workflow orchestration

• React, Next.js, Vue
• Node.js, FastAPI, Express
• REST & GraphQL APIs
• Microservices & scalable backend systems
• Secure authentication & multi-tenant architecture

• Cross-platform apps (React Native, Flutter)
• Backend-driven mobile apps
• Real-time communication systems
• Streaming & WebRTC-based applications

• Docker & Kubernetes
• AWS, GCP, Azure
• CI/CD pipelines
• High-availability production deployments

Python	PyTorch	TensorFlow	ChatGPT	JavaScript	React	TypeScript	Vue	Angular
Next.js	React Native	Flutter	FastAPI	Flask	Docker	Kubernetes	AWS	GCP
Azure	Linux	MySQL	PostgreSQL	MongoDB	Redis	GraphQL	Git	CI/CD

• AI/ML Development: Model training, evaluation, and deployment (CV, NLP, tabular data)
• MLOps & Infrastructure: SageMaker, Vertex AI, MLflow, Docker, Kubernetes, CI/CD for ML
• Data Engineering: Data wrangling, ETL, Spark, SQL/NoSQL, scalable data pipelines
• Natural Language Processing: Transformers, LLMs, summarization, classification, vector search
• Model Monitoring: Drift detection, explainability (SHAP, LIME), performance tracking
• Tools: Python, TensorFlow, PyTorch, Scikit-learn, FastAPI, Git, Jupyter