Faiz Siddiqi

Machine Learning Intern @ First Resonance

About Faiz Siddiqi

Faiz Siddiqi is a Machine Learning Intern and researcher currently affiliated with the University of Illinois Urbana-Champaign. He has held various roles in technology and machine learning across multiple organizations since 2022.

Current Work at First Resonance

Faiz Siddiqi holds the position of Machine Learning Intern at First Resonance, where he has been contributing since 2024 for a duration of 8 months. In this role, he applies machine learning techniques to enhance product development and operational efficiency. His work focuses on integrating advanced algorithms to solve complex problems within the organization.

Current Work at University of Illinois Urbana-Champaign

Since 2023, Faiz Siddiqi has been working as a Machine Learning Researcher at the University of Illinois Urbana-Champaign. His research involves developing and implementing machine learning models, contributing to academic projects that advance the field. This role has allowed him to deepen his expertise in machine learning applications.

Education and Academic Achievements

Faiz Siddiqi studied at the University of Illinois Urbana-Champaign, where he pursued a degree in Computer Science and Advertising. He was recognized as a James Scholar and received the College of Media Scholarship. His academic performance earned him a place on the Dean’s List, reflecting his commitment to excellence in his studies.

Previous Work Experience

Faiz Siddiqi has a diverse work history that includes several internships. He worked as a Software Engineer Intern at SARC MedIQ for 3 months in 2023 and as a Machine Learning Intern at ESFORGE Pvt. Ltd for 2 months in 2022. Additionally, he served as a Machine Learning Researcher at UC Santa Barbara from 2022 to 2023 for 8 months, and as a Blockchain Engineer at Disruption Lab at Gies for 4 months in 2023.

Current Roles in Trading and Technology

In 2024, Faiz Siddiqi began multiple roles in trading and technology. He is currently involved in the Trading & Tech Program at Jane Street in the New York City Metropolitan Area and holds a Trading Fellowship at The D. E. Shaw Group. Both positions allow him to apply his technical skills in high-stakes environments, focusing on trading strategies and technology integration.

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