Zaeem Shahzad

Developing Software and conducting MLOps to provide state-of-the-art, energy efficient Deep Neural Network (DNN) modules for Autonomous Driver Assistance Systems in PyTorch, targeting various Embedded Systems and Edge devices. Optimizing DNNs using compression techniques such as Pruning and Quantization to operate in resource-constrained hardware.

Leading a team of developers in constructing an AI-powered image generator platform for personalized artwork, integrating existing AI solutions for image recognition and generation using PyTorch and StableDiffusion. Conducting market research and consumer behavior studies to identify untapped markets and critical features for the application to enhance user engagement with gamification elements like contests and bonus programs, while tracking user behavior and measuring success with insights from Google Analytics. Managing team progress, liaising with stakeholders, senior management, and the CEO, and facilitating effective communication to ensure alignment, meet project milestones, and deliver a user-friendly, scalable platform.

Analyzed the Martian atmosphere and its interactions with solar flares using data captured by the EMUS (Emirates Mars Ultraviolet Spectrometer) instrument part of the UAE’s ”Hope” Space mission. Projected observations of Mars onto 2D maps using various image processing and machine learning algorithms in Python to extract 20+ unprecedented sightings of auroras on Mars between 2021-23.