Currently working on backend services for the NBA 2K series (NBA 2K20 - NBA 2K26).

• Developed a pattern matching program in C++ using STL to be used in the Search Technologies' Saga Search engine.

• Developed a Node.Js plug in for the pattern matching program using Google Chrome’s V8 engine and Nan and Libuv APIs to achieve two orders of magnitude speedup as opposed to a similar program in native javascript.

• Learned about different big data technologies such as Apache Spark, Elasticsearch and Hadoop.

• Helped 30 students to learn the basics of Digital System Design(ECE 270).

• Held one-on-one sessions with students who needed extra help before exams.

• Taught and explained different ways to test combinational and digital circuits.

• Advised the students on the best ways to implement Moore and Mealy State transition diagrams for their labs.

• Helped 30 students to understand the basics of Microprocessor System Design(ECE 362).

• Taught students to program and debug their code efficiently in Assembly and C for their weekly labs on the Freescale 9S12C microprocessor.

• Advised students on how to go about completing their semester project in the course.

Continuous Analysis of Many CAMeras(CAM2)[www.cam2project.net] helps to analyze data from public network cameras. My contributions to the research group:

• Performed experiments to improve the accuracy of neural networks for detecting people in network cameras.

• Wrote scripts in Python to parse and analyze results from neural networks to find relationships between rate of human detection and features of humans in network camera images.

• Lead the Quality Assurance team and developed a testing framework for the entire CAM2 system using unit tests and integration tests using Python Selenium.

• Worked with other team members to help open source CAM2.

• Interviewed students who wanted to join the research group in the future.