Mar 2023 – Present · 3 yrs 3 mos

• Worked on forecasting ad impressions for Samsung in the advertising domain with contributions in developing and maintaining machine learning models that predict future ad impressions across various inventories and global markets. This work directly supports revenue generation in the millions by enabling accurate planning, inventory allocation, and optimization of ad campaigns across Samsung’s global footprint.

Mar 2020 – Feb 2023 · 2 yrs 11 mos

• Worked on predicting gender and age from speech with contributions in developing machine learning models that analyze audio features to classify a speaker’s gender and estimate their age. The project involved extracting key acoustic features from speech signals—such as Mel-frequency cepstral coefficients (MFCCs), spectral centroid, pitch, and energy—and using these as inputs to various algorithms, including deep neural networks (MLPs, RNNs), support vector machines (SVMs), and ensemble methods like Random Forests.

Jul 2018 – Feb 2020 · 1 yr 7 mos

• Worked on the backend service in C called PDSS (Personal Data Sync Service) responsible for developing a reliable and secure system that synchronizes local user data—such as contact names, applications, reminders, and other personalized information—from user devices to a central server. The primary goal of this service is to enhance the accuracy of Automatic Speech Recognition (ASR) systems by providing up-to-date, user-specific context.

Jan 2018 – Jun 2018 · 5 mos