I build scalable, production-ready applications that combine robust full stack engineering with practical AI integration. The focus is on delivering secure, high-performance systems that solve real business problems—not prototypes that fail under scale.
On the full stack side, I design and develop responsive web and cross-platform applications using modern frameworks. This includes clean frontend architecture, optimized user interfaces, REST/GraphQL APIs, authentication systems, real-time features, and well-structured SQL or NoSQL databases. Every system is built with maintainability, performance, and scalability in mind.
On the AI side, I integrate intelligent capabilities directly into applications. This includes natural language processing, speech-to-text (ASR), text-to-speech (TTS), retrieval-augmented generation (RAG), chatbots, recommendation systems, image classification, and predictive analytics. I work with both cloud-based AI services and custom-trained models depending on the project’s requirements. When needed, models are optimized for edge devices or cost-efficient cloud deployment.
The development process includes system architecture planning, modular backend design, API integrations, secure data handling, and production deployment with CI/CD pipelines. I ensure the AI components are not isolated experiments but fully integrated, measurable, and aligned with product goals.
If you need an end-to-end solution that blends strong engineering fundamentals with applied AI, this service delivers software that is reliable, scalable, and built for real-world use.