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