Full Stack AI Developer | Python & Machine Learning Specialist | Real-time AI Systems

I am a full stack AI developer with extensive experience building intelligent, scalable applications, with deep specialization in machine learning and real-time AI systems. My background spans AI infrastructure, model deployment, and full-stack development for enterprise applications and service providers.

I focus on designing and implementing end-to-end AI solutions with expertise in Python machine learning ecosystems and modern web technologies, while maintaining strong capabilities in real-time data processing and streaming architectures.

Areas of expertise:

• AI & Machine Learning: Python, TensorFlow, PyTorch, Scikit-learn, LLMs, Computer Vision
• Full Stack Development: React, Node.js, FastAPI, Django, Microservices Architecture
• Real-time Systems: WebRTC, WebSockets, message queues (Kafka, RabbitMQ), streaming data
• Database Technologies: PostgreSQL, MongoDB, Redis, Vector Databases
• Cloud & DevOps: AWS, Docker, Kubernetes, CI/CD pipelines, MLOps
• AI Infrastructure: Model serving, distributed training, monitoring, scaling
• System Design: High-availability, load balancing, distributed systems, API design

• AI & ML Stack: Python, TensorFlow, PyTorch, Hugging Face, OpenCV, LangChain
• Backend Frameworks: FastAPI, Django, Node.js, Express, Spring Boot
• Frontend Technologies: React, TypeScript, Next.js, Tailwind CSS
• Real-time Communications: WebRTC, WebSockets, Socket.IO, Redis Pub/Sub
• Databases: PostgreSQL, MongoDB, Redis, Pinecone, Chroma
• DevOps & Cloud: AWS, Docker, Kubernetes, Terraform, GitHub Actions
• Message Brokers: Kafka, RabbitMQ, Redis Streams
• Monitoring & MLOps: MLflow, Weights & Biases, Prometheus, Grafana

• End-to-end AI applications with React frontends and Python backend services
• Real-time AI inference systems integrating computer vision and NLP models
• Microservices architectures for scalable machine learning pipelines
• Real-time data processing and streaming for AI-powered analytics
• MLOps pipelines for automated model training and deployment
• Custom AI integrations for business intelligence and automation

For sample code and contributions, please see the pinned repositories below.

For professional inquiries, collaboration, or consultation regarding AI development, full stack applications, or real-time systems, please use one of the methods below:

If your project, team, or organization is working on AI applications, full stack development, or real-time intelligent systems, I welcome your message.