Anant Vaibhav is a software engineer with nine years of experience blending data science, supply chain analytics, and cloud database work, currently contributing to Azure SQL Database at Microsoft. He has a strong track record delivering predictive models and ETL solutions for large-scale supply chain systems at IKEA/CBRE, including XGBoost-based forecasts on datasets with hundreds of millions of rows. Comfortable across the stack, he pairs PL/SQL and Python data engineering with BI tools like PowerBI/QlikView and operational monitoring via Splunk/OEM. His background includes published IEEE research in signal processing and an M.S. in Computer Science from UT Dallas, reflecting both academic rigor and production-focused execution. Notably, he has repeatedly moved models from prototype to trusted business decisions, achieving ~75–80% F1 in real-world deployments.
9 years of coding experience
7 years of employment as a software developer
Masters, Computer Science, Masters, Computer Science at The University of Texas at Dallas
Bachelor of Technology (BTech), Electrical and Electronics Engineering, 3.7, Bachelor of Technology (BTech), Electrical and Electronics Engineering, 3.7 at Guru Gobind Singh Indraprastha University
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