Azure Data Engineer transitioning into AI Engineer building production-grade ML systems.
Azure Data Engineer transitioning into AI Engineer, actively designing and building production-grade AI systems. Strong foundation in backend engineering, cloud data platforms, and scalable architecture. Experienced in Azure Data Factory, Databricks, Delta Lake, PySpark, CI/CD, Docker, and cloud-native design. Currently focusing on LLM systems, RAG pipelines, and AI architecture patterns.
Software Engineering → Data Engineering → AI Engineering
C++, OOP fundamentals, structured problem-solving mindset.
Java SE, object-oriented design, basic data structures, self-driven projects.
Python, ML fundamentals, model development, Docker, deployment automation.
Django/Flask backend systems, CI/CD pipelines, Linux scripting, containerized deployments.
Azure Data Factory, Databricks, PySpark, Delta Lake, ETL/ELT pipelines, cloud architecture.
LLMs, RAG systems, AI architecture design, scalable production ML systems.
Designing and developing a responsive website and Android application to manage cultural activities, event updates, and improve community engagement.
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