I design and build end-to-end software products — from user-facing applications and APIs to distributed backend systems, data platforms, cloud infrastructure, and AI-powered features.

My strongest focus is backend engineering, system architecture, and scalable application design, while combining modern frontend development with AI/ML and LLM technologies to build intelligent production software.

• Architect and develop end-to-end web applications from frontend to backend and infrastructure
• Design scalable backend platforms, APIs, and distributed services for production workloads
• Build modern applications with React, Next.js, TypeScript, Python, FastAPI, and Node.js
• Develop robust REST, GraphQL, and real-time APIs with clean service architectures
• Design microservices, modular systems, event-driven architectures, and distributed workflows
• Build reliable data layers with PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, and vector databases
• Implement caching, asynchronous processing, queues, workers, concurrency, and event streaming
• Design secure application architectures with authentication, authorization, RBAC, OAuth, and JWT
• Integrate external APIs, payment systems, SaaS platforms, storage services, and third-party infrastructure
• Build and deploy cloud-native applications across AWS, GCP, and Azure
• Containerize and operate production systems with Docker, Kubernetes, Linux, and CI/CD
• Engineer systems for scalability, reliability, performance, security, and observability
• Integrate LLMs, RAG, AI agents, and ML models into real-world applications
• Build AI-powered backend services for automation, search, knowledge systems, and intelligent workflows

Always interested in full-stack engineering, backend architecture, distributed systems, cloud infrastructure, AI/ML, LLM applications, and building products that actually ship.

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

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

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

Data: PostgreSQL · MySQL · MongoDB · Redis · Elasticsearch

Messaging: Kafka · Celery · Redis · Airflow · Spark

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

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

Machine Learning: PyTorch · TensorFlow · Scikit-learn · XGBoost · NumPy · Pandas

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

AI Infrastructure: vLLM · TensorRT-LLM · Ray · ONNX · CUDA

Cloud: AWS · GCP · Azure

Infrastructure: Docker · Kubernetes · Linux · Terraform

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

Engineering: Monitoring · Logging · Metrics · Tracing · Observability

• Backend architecture and system design
• Scalable APIs and distributed services
• Full-stack SaaS and web platforms
• Microservices and event-driven systems
• Database architecture and data-intensive applications
• Real-time and asynchronous systems
• Cloud-native application development
• High-performance and fault-tolerant services
• AI-powered backend architectures
• LLM, RAG, and agent-based applications
• Production reliability, security, and observability
• Performance and infrastructure optimization

Software products that bring together great user experiences, powerful backend systems, reliable infrastructure, and practical AI — from the first API and database schema to production deployment and intelligent features.

Design for scale. Build for reliability. Ship for impact.

I enjoy solving complex engineering problems across the stack and turning them into clean architectures, scalable systems, and production-ready products.