Ursula Das is a Data Scientist with a decade of engineering experience who builds production-ready AI systems at the intersection of computer vision, generative models, and scalable MLOps for video and OTT content. At Quickplay she architects GCP-based inference pipelines and optimizes video workflows with tools like FFmpeg, while her MASc research at the University of Waterloo produced graph-based spatiotemporal models and segmentation networks for actionable wildfire forecasting. She pairs academic rigor—designing GNN-LSTM hybrids and imbalance-aware losses—with practical data engineering skills including ETL, SQL, and Power BI dashboards from her early work at TCS. Comfortable moving projects from prototype to deployment, she’s equally at home implementing Vision Transformers for real-time gaze segmentation as she is building cloud orchestration for high-throughput video inference. Based in Toronto, Ursula combines a strong research pedigree with hands-on product delivery, and often bridges domains by integrating novel academic methods into scalable industry solutions.
10 years of coding experience
4 years of employment as a software developer
Science, Science at Maharishi Vidya Mandir Senior Secondary School
Holy Child School, Guwahati
Bachelor of Engineering - BE, Electronics and Telecommunications, Bachelor of Engineering - BE, Electronics and Telecommunications at Assam Engineering College, (A.E.C)
Master of Applied Science (MASc), Electrical and Computer Engineering ( Pattern Analysis and Machine Intelligence (PAMI)), Master of Applied Science (MASc), Electrical and Computer Engineering ( Pattern Analysis and Machine Intelligence (PAMI)) at University of Waterloo
A package be used in conjunction with the N-API module to call C++ code from JavaScript. Allows the user to call thread safe promise functions such (resolve, reject) in the C++ code and return a promise to the javascript code.
Contributions:7 releases, 46 commits, 5 PRs in 1 year
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