I build and deploy production-grade web applications, scalable backend systems, and AI-powered products from architecture and development to cloud deployment and real-world operation. My work combines React, Next.js, TypeScript, Python, FastAPI, Node.js, databases, distributed systems, cloud infrastructure, AI/ML, and LLMs to deliver reliable, scalable, high-performance software.

• End-to-end full-stack application development from frontend to backend, database, AI, and cloud infrastructure
• Modern frontend development with React, Next.js, TypeScript, JavaScript, and Tailwind CSS
• Scalable backend development with Python, FastAPI, Node.js, Django, REST, and GraphQL
• System architecture for scalable, maintainable, and high-performance applications
• Microservices, modular monoliths, distributed systems, and event-driven architectures
• Database design and optimization with PostgreSQL, MySQL, MongoDB, Redis, and Elasticsearch
• Real-time applications using WebSockets, asynchronous processing, queues, and event streaming
• High-performance APIs with caching, connection pooling, background workers, and distributed processing
• Authentication and authorization using OAuth, JWT, RBAC, and secure API architectures
• Event-driven systems and messaging with Kafka, Redis, Celery, and distributed workers
• Cloud-native application development across AWS, GCP, and Azure
• Containerized deployments with Docker, Kubernetes, Linux, and CI/CD
• Production monitoring, logging, observability, performance optimization, and reliability engineering
• AI-powered application development with LLMs, RAG, AI agents, embeddings, and intelligent automation
• Building scalable AI APIs and backend services with Python, FastAPI, and modern LLM infrastructure

Always interested in full-stack development, backend engineering, system architecture, distributed systems, AI/ML, LLM applications, cloud infrastructure, and open-source collaboration.

React	Next.js	TypeScript	Python	FastAPI	Node.js	PostgreSQL	Redis
MongoDB	Kafka	Docker	Kubernetes	AWS	GCP	Linux	GitHub

Frontend: React · Next.js · TypeScript · JavaScript · Tailwind CSS · HTML · CSS

Backend: Python · FastAPI · Node.js · Django · Express · REST · GraphQL · WebSockets

Architecture: Microservices · Distributed Systems · Event-Driven Architecture · Modular Monoliths · Async Processing

Databases: PostgreSQL · MySQL · MongoDB · Redis · Elasticsearch

Messaging: Kafka · Celery · Redis · Airflow · Spark

LLMs: GPT · Claude · Gemini · Llama · Mistral · Qwen · Hugging Face Transformers

Generative AI: RAG · AI Agents · Function Calling · Tool Use · Structured Generation · Multimodal AI

ML: PyTorch · TensorFlow · Scikit-learn · XGBoost · NumPy · Pandas

Vector & Search: Pinecone · Weaviate · Milvus · Qdrant · pgvector · Elasticsearch

LLM Infrastructure: vLLM · TensorRT-LLM · Ray · ONNX · CUDA · GPU Optimization

Cloud: AWS · GCP · Azure

Infrastructure: Docker · Kubernetes · Linux · Terraform

CI/CD: GitHub Actions · Automated Testing · Deployment Pipelines

Observability: Logging · Monitoring · Metrics · Tracing · Performance Optimization

• Scalable backend architectures and APIs
• Full-stack SaaS and web applications
• Microservices and distributed systems
• Database architecture and optimization
• Event-driven and real-time systems
• Cloud-native application infrastructure
• AI-powered backend systems
• Production RAG and LLM applications
• AI agents and intelligent automation
• Performance, scalability, and reliability
• Secure and maintainable software architecture

Production software that combines modern frontend applications, scalable backend systems, cloud infrastructure, and AI/LLM capabilities to solve complex real-world problems.