Results-oriented ML/Data Engineer with over 6 years of experience developing machine learning models and scalable data pipelines.
Proven expertise in leveraging cloud services for optimized data processing and creating impactful dashboards. Known for collaborating with cross-functional teams, mentoring peers, and driving data strategy. I am dedicated to solving real-world problems using ML, focusing on search relevance, recommendations, fraud detection, and time-series forecasting. Experienced in microservice-based architecture, scalable AI applications, and secure software development.
Download ResumeSome of My Projects
This project was done in a team of 5 including myself. Our goal was to make therapy more friendly and engaging for the child. I worked on the user interace to give instructions to the robot. Never having worked before with Kinect Studio, it was a learning experience to work with it and appreciate the technology. It was quite a challenge to perfect the accuracy on the Kinect. This project was done as part of our Human-Computer Interaction class. A paper was also presented at the 9th ACM International Conference on Pervasive Technologies Related to Assistive Environments in 2016.
Tech StackThe Academic Advising System is designed for departments across the University of Texas at Arlington to provide a friendly, efficient and user-friendly advising appointment system to assist students and advisors. The Academic Advising System helps students and the advisors to schedule advising appointments and eliminate the necessity of long queues. The system can place a new appointment, modify and delete an existing one as well as screen the synchronized calendar.
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