ML and AI system designer
ML Engineer specializing in production-grade AI systems, with expertise in NLP, computer vision, and scalable infrastructure. Focused on building intelligent applications leveraging LLMs, RAG architectures, and agentic AI systems. Experienced in end-to-end ML pipeline development from research to deployment.
- Architecting AI-powered SaaS applications with retrieval-augmented generation
- Developing agentic AI systems and advanced NLP solutions
- Implementing production ML deployments with scalable infrastructure
- Exploring cutting-edge LLM architectures and vector database optimization
Machine Learning & AI
- Frameworks: PyTorch, Scikit-learn
- Agentic AI: CrewAI, LangGraph, LangChain
- NLP: Transformers, LangChain, LlamaIndex, BERT, GPT architectures
- Computer Vision: OpenCV, YOLO, CNN architectures
- Vector Databases: Qdrant, Pinecone, Weaviate
Backend & Infrastructure
- Python, FastAPI, Django
- PostgreSQL, Redis, MongoDB
- Docker, Kubernetes, CI/CD
- RESTful APIs, Microservices architecture
Building intelligent systems that bridge research and production