Summary
Siddhesvar Kannan is a backend-focused software engineer with over a decade of technical experience and 4+ years specialized in building data-intensive systems, APIs, and analytics pipelines using Python, SQL, and cloud infrastructure. He has delivered real-time geospatial and anomaly-detection platforms—leading ingestion, validation, and optimized PostgreSQL query logic for high-frequency GPS streams—and built security dashboards used in live SOC operations. Earlier roles spanned healthcare and finance, where he automated ETL and deployment workflows, implemented monitoring-triggered notifications, and deployed production risk models via Django APIs. Now also teaching robotics and math to K–12 students, he blends hands-on engineering with clear, patient mentorship that strengthens problem-solving foundations. A self-described data science enthusiast, he experiments with machine learning and emerging tech outside of work, bringing curiosity-driven improvements to production systems.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at The University of Texas at Dallas