Saba Abbas Email & Phone Number

 Designing deep learning solutions for problems at a scale.Implement end-to-end solutions for batch and real-time algorithms along with requisitetooling around monitoring, logging, automated testing, performance testing and A/Btesting. Design and build novel/custom deep learning architectures. Evaluate accuracy and quality of the designed models as well as data sources. Stay up to date with the latest models and changes in the technology. Design and develop production-ready code. Communicate results and implications to colleagues and business partners. Coordinate with application development teams to integrate developed models withexisting applications. Design and deploy core platform components for a new data mesh driven solution. Prioritize and deliver against a defined Backlog of Epics in an agile approach. Review and demonstrate solutions with stakeholders and aligned agile pods. Identify and implement automation opportunities to ingest, search and process datasets.Liaise with peers within various business domains to facilitate the adoption of the newplatform.

 Designed complete machine learning and deep learning pipeline from data fetching todeployment and testing. Designed and optimized sensor live streams for runtime feature generation. Proposed and developed multi-task learning based computer vision solutions as coredecision making modules. Worked on big datasets for segmentation, regression and object detection. Big data processing, analysis and database management for realtime multivariate feeds. Designing and implementation of multi-class object detection, segmentation, sceneclassification, regression and scenario based decision forecasting. Deployments and integration of imbedded inference models. Progressive learning, optimization, A/B testing and evaluation of production deeplearning models. Designing and implementation of ensemble machine learning models. Proposed and developed multi-task learning based computer vision solutions as coredecision making modules.

 Designing and managing relational databases for multivariate big data. Implementation of descriptive analytics for historical data. Designing and implementation of data diagnostic techniques for identification of rootcause against the diagnostic key points. Identification of patterns and their seasonality using segmentation, clustering andpattern extraction techniques. Implement the predictive and prescriptive analysis techniques for CI/CD. Translate and communicate efforts underway, progress, results, and solutions tobusiness client leadership. Evaluate new technologies and data that will help improve AI/ML and advancedanalytics, product development processes, solution deployments and modeldevelopment guidelines. Improve the enterprise's knowledge of emerging technologies, frameworks, and trendsin AI (Artificial Intelligence) and ML. Investigate technical issues, interpretations and instruments through a systematicapproach to the problem including exploring datasets to discover trends and patterns; build predictive models and ML/AI; develop new methods for uncovering trends.

Master Of Science - Ms, Information Technology

Bachelor Of Science - Bs, Computer Science