I am a Senior Software Engineer with over 13 years of experience in software development, data systems, and large-scale application design, with a strong focus on backend engineering, data processing, and system validation.
In my recent role, I worked on distributed microservices and cloud-based systems using .NET, Azure, and AWS, where I was responsible for designing data pipelines, integrating APIs, and ensuring accuracy and reliability of system outputs. I frequently worked with structured and unstructured data, performing validation, transformation, and optimization to improve data quality and system performance.
My experience also includes working extensively with SQL databases, ETL processes, and reporting systems, where I analyzed large datasets, optimized queries, and supported data-driven decision-making. I have strong proficiency in Python and automation concepts, which I use for data processing and system analysis tasks.
Throughout my career, I have been involved in debugging complex systems, identifying inconsistencies in data flows, and ensuring correctness of computational logic across enterprise applications. This background has strengthened my analytical thinking, attention to detail, and ability to evaluate technical outputs—skills that align well with STEM-based AI training and evaluation work.
No employment history.
No education history.