Experience

BODS

• United States
• Retail Apparel and Fashion
• 1 - 100 Employee

• AI/ML Engineer

  • Jun 2023 - Present



Pex

• United States
• Technology, Information and Internet
• 1 - 100 Employee

• Senior Machine Learning Engineer

  • Aug 2018 - May 2023

  I worked at Pex as a Machine learning Engineer, and then eventually as a Senior Machine learning engineer for approximately 5 years. In my time there I worked on multiple projects. Some of them are listed below: Melody matcher: I worked on building a first of its kind melody matcher, which matches a query song to a song in the database, based on the underlying melody alone. This is now offered as a feature of Pex’s products, and is a key differentiator between Pex and its competitors. Recaptcha solver: I was part of the team that worked on solving Google's ReCaptcha, and productionizing the solution. This involved using multiple computer vision techniques like object detectors and segmentation models, and deploying the models using Docker and Kubernetes. Genre classifier: I also worked on a genre classifier algorithm for music, that made use of the approximate nearest neighbor database FAISS Image matching: I was involved in a part of an image matching project. In this, I made use of deep learning models, as well as image processing techniques In my final days at Pex, I was involved with a project trying to improve the melody matcher for music stems. I was also part of the team involved in trying to create an idealized database for music metadata. A good portion of my time at Pex was also spent mentoring Masters' students for their capstone project Show less



New York University

• Higher Education
• 700 & Above Employee

• Graduate Research Assistant

  • May 2017 - May 2018

  I was a Research Assistant to Prof. Juan Bello. My work mainly involves applying machine learning algorithms to audio signals, to build upon research in machine listening. I did my Masters' thesis on Cover Song Identification. I was a Research Assistant to Prof. Juan Bello. My work mainly involves applying machine learning algorithms to audio signals, to build upon research in machine listening. I did my Masters' thesis on Cover Song Identification.



NYU Tandon School of Engineering

• Higher Education
• 700 & Above Employee

• Graduate Teaching Assistant

  • Sep 2017 - Dec 2017

  I worked as a Graduate Teaching Assistant under Prof. Ivan Selesnick, for the course DSP Lab. I helped students understand Digital Signal Processing concepts, assisted them with programming assignments in Python and Matlab, and graded the homeworks. I worked as a Graduate Teaching Assistant under Prof. Ivan Selesnick, for the course DSP Lab. I helped students understand Digital Signal Processing concepts, assisted them with programming assignments in Python and Matlab, and graded the homeworks.



NYU Tandon School of Engineering

• Higher Education
• 700 & Above Employee

• Graduate Assistant

  • Jan 2017 - May 2017

  I worked part time as a Graduate Assistant under Prof. Ivan Selesnick. I was assigned the task of creating lecture demonstrations and homework assignments for the Graduate level course "Digital Signal Processing lab". In this capacity, I designed an introductory tutorial on Opencv, for Image processing applications. I worked part time as a Graduate Assistant under Prof. Ivan Selesnick. I was assigned the task of creating lecture demonstrations and homework assignments for the Graduate level course "Digital Signal Processing lab". In this capacity, I designed an introductory tutorial on Opencv, for Image processing applications.



Fybr®

• United States
• Information Technology & Services
• 1 - 100 Employee

• Intern

  • Jan 2016 - Jul 2016

  I worked on the data collection and validation team, and also worked on the Smart Street lighting project. I worked on the data collection and validation team, and also worked on the Smart Street lighting project.