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
