AI Application Engineer / Fullstack Engineer

I am an AI Application Engineer and Fullstack Engineer with nearly eight years of experience building production-grade AI applications and enterprise platforms. I have delivered solutions across legal technology, healthcare, telecommunications, aviation, fintech, procurement, education, and data analytics domains.

I specialize in designing Retrieval-Augmented Generation (RAG) systems, AI agent workflows, semantic search solutions, document intelligence platforms, embedding pipelines, and vector database integrations. I focus on building trustworthy AI products with evidence-grounded responses, traceability, scalable ingestion pipelines, and reliable operational monitoring.

My full-stack expertise includes React, Next.js, TypeScript, Python, FastAPI, Golang, Node.js, NestJS, and GraphQL. I build modern, maintainable web applications and microservices with strong attention to application performance, usability, and scalable architecture.

I have extensive experience with cloud-native delivery on AWS, Docker, Kubernetes, CI/CD pipelines, and observability tools. I work with relational, NoSQL, caching, analytical, and vector databases including PostgreSQL, MySQL, MongoDB, Redis, ClickHouse, Qdrant, Pinecone, and ChromaDB.

I collaborate closely with product owners, domain experts, QA engineers, DevOps teams, and international stakeholders throughout the software development lifecycle. I enjoy translating complex business workflows into reliable, user-centered software and AI capabilities.

I am passionate about applying modern LLM technologies and scalable software engineering practices to automate complex processes, improve decision-making, and deliver measurable operational value.