About Me
AI Engineer at IBM where I architect production-grade Generative AI systems for IBM customers and business partners.
Beyond my work at IBM, I maintain Ad Astra AI—a technical blog documenting production-ready AI engineering projects, sharing deep-dives on building, deploying, and scaling real-world AI systems. My flagship project, SentiWiki AI, is an end-to-end agentic RAG system deployed on AWS ECS for querying ESA Copernicus Sentinel mission documentation
Previously, one year as a Solutions Architect at Huawei gave me deep expertise in cloud architectures, which I've further validated through AWS certifications (ML Specialty, Solutions Architect Associate, AI Practitioner) and Databricks Data Engineer certification.
Currently also an Associate Professor in Machine Learning at UAX University, where I designed and deliver comprehensive curricula for Machine Learning I & Machine Learning II courses to 20+ undergraduate students in the AI & Computation degree program.
Others
Professional Experience
IBM, UAX University, Huawei
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Bachelor's and Master's in Machine Learning, Published Research
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Workshops, Conferences, University
Learn MoreProfessional Certifications
AWS ML, AWS Solutions Architect, Databricks
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Complete professional profile
DownloadTechnologies I use to build production AI systems