Welcome!

Hi, Iโ€™m Mohammadreza Rostam, and I go by Pouya.

๐Ÿ’ผ Professional Experience

  • Applied Scientist at Amazon: I develop and improve Large Language Models (LLMs) and Machine Learning (ML) models for Alexa to enhance user interactions.
  • Former Senior Deep Learning Researcher at Picovoice: I specialized in advanced speech and language technologies, focusing on speaker recognition and diarization.
  • Industry Background: I worked as an embedded software and mechatronic engineer across multiple startups, building innovative solutions.

๐ŸŽ“ Academic Background

I earned my Ph.D. in Control Engineering from the University of British Columbia, working in the Control Engineering Laboratory. My research created new algorithms to control mechanical and electronic systems, specifically dealing with quasi-periodic disturbances. My doctoral thesis pioneers an innovative control system that integrates model predictive control with Gaussian process machine learning techniques.

๐Ÿ”ฌ Areas of Expertise

Hereโ€™s what I specialize in:

Artificial Intelligence and Machine Learning

  • Deep Learning: Expertise in RNNs, CNNs, Transformers, and GANs
  • Large Language Models (LLMs): Developing and optimizing LLMs
  • Natural Language Processing (NLP): Efficient NLP for constrained environments
  • Time Series Analysis: Advanced forecasting techniques

Control Systems and Signal Processing

  • Control Theory: Adaptive, robust, nonlinear, and optimal control strategies
  • Advanced Control Techniques: Optimization and Model Predictive Control
  • Signal Processing: Analysis and manipulation of various signal types

Hardware and Software Optimization

  • GPU Optimization: CUDA programming for high-performance computing
  • Embedded Systems: Efficient firmware for specialized hardware

I am eager to collaborate on innovative projects that push the boundaries of technology.