AI Engineer & Data Analyst specializing in scalable data pipelines, predictive models, and backend architecture. I bridge the gap between complex AI research and functional software utilities.
I am driven to solve real-world problems through data-centric AI and scalable backend systems. With hands-on development experience across a diverse portfolio of machine learning systems, automated pipelines, and client-facing products, I engineer production-grade applications.
My expertise lies in designing secure APIs, deploying containerized backend architectures, and utilizing modern RAG architecture concepts. I actively build automated data pipelines and robust predictive models that process structured data securely and efficiently.
2024 – Present
Architected a scalable market ingestion pipeline extracting ticker performance metrics. Integrated IMF reports and news via APIs to perform multi-dimensional market sentiment analysis.
Designed a full-stack text-and-image synthesis application leveraging RAG architecture. Enforced stateless session controls and API rate limiting to manage token usage securely.
Built an autonomous alerting engine that parses streaming financial data and pushes real-time market shifts. Structured resilient webhook handlers inside Docker containers.