I am a versatile AI and data engineering professional with extensive experience designing and maintaining end-to-end data pipelines. I have built systems to ingest and integrate data from sources like Excel, PostgreSQL, SQL Server, and Oracle, using Python and Kafka to ensure scalability and reliability. I’ve implemented both scheduled and event-driven workflows, exposed centralized data via APIs, and monitored system performance with tools like Nagios. Additionally, I have hands-on experience in data governance, including metadata enrichment, authority-based access control, and ensuring compliance with internal and external policies.
On the AI and software side, I have developed internal chatbot systems, evolving from rule-based and retrieval-based solutions to LLM-powered Retrieval-Augmented Generation (RAG) architectures. I handled document preprocessing, embedding generation, deployment, and continuous improvement based on user feedback. I am also a full-stack developer, skilled in React, Vue, or Svelte with TypeScript, FastAPI backends, and CI/CD pipelines using GitLab, Jenkins, and ArgoCD. I deploy containerized applications on Kubernetes/OpenShift and monitor system resources to ensure performance and reliability. I thrive at the intersection of data, AI, and software development, delivering solutions that are both technically robust and business-aligned.
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