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Engineering Manager @ Suno | MIT Neuro 🧠
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Extensive experience architecting, deploying, and monitoring high-scale products. Skilled in managing product development, optimizing system performance, and leading agile teams
Massachusetts Institute of Technology
Bachelor of Science - BS, Computational Neuroscience
January 1, 2016 – January 1, 2020
Massachusetts Institute of Technology
Summer Program
January 1, 2015 – January 1, 2015
Thomas Jefferson High School for Science and Technology
High School, Computer Science
January 1, 2012 – January 1, 2016
Suno
Engineering Manager
April 1, 2026 – Present
Cambridge, MA · On-site
Suno
Staff Software Engineer
July 1, 2024 – April 1, 2026
Cambridge, MA · On-site
Spatial Labs
Lead Engineer
May 1, 2023 – June 1, 2024
Los Angeles Metropolitan Area · Remote
Pearl
Co-Founder & CTO
January 1, 2022 – May 1, 2023
United States
Jobble
Senior Software Engineer
January 1, 2021 – April 1, 2023
Boston, Massachusetts, United States · On-site
Gibson Sotheby's International Realty
Realtor, The Lauren Holleran Team
September 1, 2019 – March 1, 2023
Cambridge, Massachusetts, United States
Jobble
Software Engineer
August 1, 2019 – December 1, 2020
Boston, Massachusetts, United States · On-site
MIT Media Lab
Undergraduate Research Assistant
March 1, 2019 – August 1, 2019
Boston, MA
Qume, Inc.
Frontend Engineer
February 1, 2018 – March 1, 2019
San Francisco Bay Area
Minimum, Inc.
Backend Engineer
April 1, 2017 – December 1, 2017
Greater Boston Area
Sieve Inc
Machine Learning Engineer
May 1, 2016 – February 1, 2017
Delaware
FreeBusy
Front-End Developer Intern
March 1, 2016 – September 1, 2016
San Francisco Bay Area
Tive
Frontend Web Developer Intern
March 1, 2016 – May 1, 2016
Washington D.C. Metro Area
Handicapped Parking Space Usage Determination Through Image Processing
May 1, 2015 – Present
Are the handicapped parking spaces actually being used by those who have the authorization to use them? As Senelick points out, there are handicapped parking spaces that are being used by people who are not handicapped, while others who need the handicapped parking space are forced to wait until the space becomes open. On the other hand, there are times where all the available handicapped parking spaces are actually being used by handicapped people. Both of these scenarios relate to the efficiency of handicapped parking spaces. Whether or not stores and attractions should allocate more handicapped parking spaces depends on how much, if at all, these parking spaces are being used. We need to be able to gather data on handicapped parking spaces. Who uses them? How often? At what times? The simplest way to acquire such statistics would be to have someone stand outside all day and night and check to see who is using the parking space, but this solution is expensive and inefficient. However, the technology behind image processing allows for a simple but effective solution. There is already technology developed that detects license plates, thus the only technology that would need to be developed is the detection of the handicapped indicator.
Insights for Innovation
IDEO U
June 28, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across startups (Suno, Spatial Labs, Pearl, Minimum, Sieve Inc) and research (MIT Media Lab) indicates adaptability and an entrepreneurial spirit. The project on handicapped parking space usage demonstrates a focus on real-world problem-solving and social impact, which could align well with a culture valuing innovation and purpose. However, the primary experience is heavily skewed towards software engineering and leadership, rather than pure data analysis, which might require adjustment to a data-focused team culture.
Soft Skills & Operational Fit
The candidate's experience as a Lead Engineer and Co-Founder/CTO suggests strong leadership, project management, and problem-solving skills. Descriptions of leading cross-functional teams, optimizing workflows, and securing funding indicate operational acumen. The project on handicapped parking space usage also shows initiative and a practical approach to data collection and analysis.