Serving on NASA's Intelligent Systems Autonomy Panel for Planetary Exploration Science and Technology.

Part of the founding team which has the goal of helping data engineers and data architects to design, build and maintain robust and reliable data systems. We are devising an innovative AI approach for tackling major issues in Data Observability.

PredictHQ is a demand intelligence API used by customers such as Uber and Booking.com to predict and adapt to the impact real-world events have on demand. Any business trying to predict demand is flying blind to the impact of real-world events.. My role is to lead the Data Science Solutions Engineering in bridging the gap between the Tech and Business groups. I consult with prospects&customers for solving their specific problem, finding creative solutions and passing feedbacks to the R&D group for incorporations in the product.

A team member of the Engineering Research Group. Our work involves Big Data Analytics, Machine Learning, and Artificial Intelligence solutions to various problems in Data Quality, Ranking & Recommendation, and domain-specific Data Driven Solutions.

Audi of America Digital Technology Solutions and Strategy - CODE SF Built monthly sales prediction model that utilizes prior sales, internal, and external data. Collaborated with partners, in a cross-functional team, on integrating multi-channel data for a single view of the consumer in progressive retail efforts.

Founder and Creative Director of Figgy LLC, an international art & clothing business. In addition, consultant on various proprietary projects with non-disclosure agreements in e-tail, analytics, and business solutions. Utilized technical and investigative skills to solve complex client issues in their database and emails consistency. Co-led the definition of a multi-year $300M+ budget program in a competitive bid. Contributed to the data architecture definition for new products in the consumer ratings space Tackled projects in data analytics that included investigating trends in customers data, generating statistics and visualization for actionable business decisions, developing parsers that search for keyword patterns and compute sentiment scores, and exploring user-engagement logs data to identify factors leading to adoption of service.

Autonomous Systems and Robotics / Intelligent Planning & Scheduling groupsFocused on projects applying intelligent automation and constraint-based optimization. Developed search algorithm for generating the Global Land Survey. The algorithm handles 10K+ Landsat satellite images and improved map quality by 30%+ over existing methods (including Google Earth). Designed and built the dynamic scheduler for a next generation inter-satellite communication system that adapts to real time environmental changes to optimize data collection. Other projects for Rover Planning&Scheduling, Earth Science Observation, and Air Traffic Control. Accomplished researcher with several highly cited journal and conference publications. I started working at Nasa few years earlier as a Research Scientist.