Partha User

Advising on identifying, scoping, and deploying AI and data engineering solutions to drive service expansion. Assessing technical feasibility and requirements for incoming client projects in data processing and machine learning.

Assisted in developing the MPEG-H Browser UI with TypeScript, JavaScript, and Webpack to build a responsive web interface for cloud-based encoding prototypes. Helped with migration of existing client solutions from MVC to MVVM architecture and collaborated with cross-functional teams to integrate frontend systems with backend encoding services.

Automated the deep learning training and evaluation pipeline for AI-based audio noise reduction models. Built data pipelines and QA scripts using Python and Bash to support large-scale dataset processing, model evaluation, and reproducibility.

Designed and developed SEO-optimized e-commerce websites for local small businesses using WordPress for online sales presence. Customized themes and plugins with JS and HTML/CSS to match client branding and requirements.

Grade: 2.3

Pursuing a Master of Science in Data Science with a focus on deep learning, machine learning in finance, signal processing, pattern recognition, and time series analysis. Thesis on zero-shot computer vision models for weed detection in collaboration with the University of Hohenheim, achieving a grade of 1.3.

Grade: First Class with Distinction

Bachelor of Engineering in Computer Engineering with First Class with Distinction. Recipient of a fully funded Government Scholarship (ICCR). Final project was a Real-Time Bus Fare Comparison Android app, achieving a grade of 1.3.