Mohammed Fahad

About Mohammed Fahad

Currently pursuing an MS in Data Science at Indiana University Bloomington, I focus on applied data analytics and AI-driven systems. My academic foundation includes coursework in advanced machine learning, data visualization, and retrieval-augmented generation (RAG), which complements my hands-on experience with modern AI tools and methodologies. During a recent internship as a Machine Learning Engineer at MyEdMaster, I contributed to developing an end-to-end pipeline for generating authentic SAT math questions using large language models. This involved creating dual-model architectures for generation and validation, as well as implementing automated quality control systems for accuracy. With a keen interest in bridging technical innovation with real-world applications, I am driven to enhance data-driven decision-making and AI-powered solutions.

Experience

1. Data Science Analyst

   Myedmaster

   Jun 2025 — Present · VA, US

   Developed an end-to-end pipeline for generating authentic SAT math questions using large language models. Built a dual-model architecture with a generator LLM for prompt-based question creation across multiple difficulty levels and topics, and a validator LLM for quality assurance including topic alignment, diversity scoring, and authenticity verification. Implemented automated quality control systems with ILA scoring algorithms, rejection gates for unwanted questions, and mathematical verification scripts for accuracy validation. Collaborated with cross-functional teams developing content for science, reading, and vocabulary sections. Successfully addressed the challenge of generating image-based geometry questions through innovative RAG (Retrieval-Augmented Generation) approach, enabling scalable production of SAT-style educational content.

Education

• Indiana University Bloomington

  Master of Science - MS, Data Science

• PRATHYUSHA ENGINEERING COLLEGE

  Bachelor of Engineering - BE, Computer Science

  2018 — 2022