Amit Asghar
About Amit Asghar
Amit Asghar is an Engineering Manager at The New York Times, where he has worked since 2021. He has a strong background in software engineering, specializing in NLP and Sentiment Analysis, and has successfully led teams that achieved significant promotions and performance metrics.
Work at The New York Times
Amit Asghar has been serving as an Engineering Manager at The New York Times since 2021. In this role, he has overseen a team where over 30% of the members achieved promotions within three years. His leadership focuses on fostering talent and enhancing team performance, contributing to the overall success of engineering initiatives at the organization.
Previous Experience at LoyaltyOne
Before joining The New York Times, Amit Asghar worked as an Engineering Manager at LoyaltyOne from 2018 to 2021. During his tenure in the Toronto, Canada Area, he managed engineering projects that emphasized data-driven analysis and measurable outcomes, further developing his expertise in software engineering.
Education and Expertise
Amit Asghar holds a Bachelor of Science degree in Computer Science from the University of Toronto. He also studied at York University, where he achieved a Certificate in Machine Learning. His expertise includes Natural Language Processing (NLP) and Sentiment Analysis, which he applies to develop innovative solutions in software engineering.
Background in Software Development
Amit Asghar began his career in software development, working at various companies from 2003 to 2010. This seven-year experience laid the foundation for his future roles in engineering management and specialized technical fields. His background in software development informs his leadership style and project management approach.
Commitment to Continuous Improvement
Amit Asghar demonstrates a commitment to self-reflection and continuous self-improvement. He actively seeks opportunities to exceed performance metrics and enhance his skills. His focus on data-driven analysis ensures that engineering projects deliver measurable results, contributing to the efficiency and effectiveness of his teams.