* Built an optimization data model from the ground up using Apache Spark APIs, which optimizes derivation of brand’s video performance data. This model in turn saves the company $65K+ on yearly basis.
* Implemented an additive anomaly detection and alerting system, which notifies of rapid anomalous drops in concurrent users watching the content across various platforms.
* Founded Machine Learning Club, where engineers are invited to collaborate and learn ML concepts and cutting edge technologies. * Built a Topic Modeling system using vector representations of text, LDA and PCA, which identifies latent topics and plot archetypes in content.

• Assisted in implementing an intelligent robot navigation system, which learns with experience.• Created detailed maps to dictate robot’s environment and collaborated in writing research papers.• Developed my own hallway identification algorithm, which recognizes high traffic areas in any closed setting.

• Chosen by the Chair and the faculty of the Computer Science Department to instruct an introductory computer science class to freshmen students. • Tasked with serving as a mentor/role model, who would inspire and motivate the class. • Worked with the faculty to review and improve the course’s curriculum.

• Implemented a virtual model of a public bicycle share program using stochastic approach of performance optimization.• Collaborated with the other members of the project on applying mathematical methods to the data and coding of the algorithm.• Worked on all aspects of the program, including logistics, pricing, and technical improvements.