Syed Abdul Hannan

• Second Ranked in the Poll for Favorite TA in Pittsburgh. • Supporting CMUs' flagship deep learning course with over 350 students • Teaching students through weekly recitations, weekend hackathons, Piazza Q&A forum, and weekly office hours • Concepts include MLPs, CNNs, RNNs, LSTMs, transformer models, GANs, and diffusion models.

• Worked on speaker language model for descriptive profiling with the encoder being a phoneme debiasing attention framework while the decoder was a GPT-2. • Worked with a large MNC for SV model building to get the best accuracy. • Created a Speaker Language Model for Explainable Voice Comparisons using LLM as Decoder and SV model as Encoder. • Developed a speaker profiling prototype using multiple models to predict environment and emotions from audio. • Working Under Professor Bhiksha Raj. • Working on creating an LLM model for generalized speech tasks such as speech recognition, speaker identification, Text to Speech, and Audio classification. • Worked on curating different datasets for different types of speech-related tasks for different languages. • Worked on time series forecasting for drift error estimations in oscillators for clocks.

Research with Professor Bhiksha Raj

Bachelors of Engineering in Mechanical Engineering has laid out a strong foundation for research and practical applications of different aspects related to engineering. This degree also provided me to pursue my interest in Robotics and Artificial Intelligence with my projects. Key courses include: - Machine Design, Electrical Machines, Fluid Mechanics, Thermodynamics, Design and Manufacture, Advanced Mathematics, Strength of Materials, Applied Thermodynamics, Control Engineering, Instrumentations, Management, Energy Studies, Machine Dynamics, Acoustics, Engineering Design, and Engineering Manufacture.