Mahdi Jafari

Innovative LLM Integration System: Led the development of a customizable Large Language Model (LLM) selection feature, significantly enhancing experimental flexibility, enabling bias detection, and reducing operational costs by approximately 30%. Advanced APIs for Causal Graphs: Engineered sophisticated APIs for causal graph representation, greatly enriching our data analysis capabilities and enabling complex experimental designs.

- Implemented and tested various features (employee engagement, Google calendar integration, etc) of the WeSync employee management platform using Python3, Django, and JavaScript, resulting in enhanced functionality. - Identified security issues in the WeSync Platform and implemented security techniques, resulting in a 38% increase in security measures. - Created a demographical analytical dashboard for Princeton University, enabling data-driven decision-making.

- Developed and tested the Qatama System for a US Telecom company, processing 60 million minutes weekly. - Designed the database for Bulbul Audiobook, developed the admin dashboard, and provided APIs for the mobile application, resulting in 10K+ active users around the world with increasing users. - Met with 5+ customers to discuss project progress, collect feedback at various stages, and directly address concerns, resulting in improved project outcomes.