# Rachel Manzelli

> Machine Learning Tech Lead at Modulate

Location: Boston, Massachusetts, United States
Profile: https://flows.cv/rachelmanzelli

## Work Experience
### Staff Machine Learning Engineer (Tech Lead) @ Modulate
Jan 2025 – Present | Somerville, Massachusetts, United States

### Machine Learning Team Lead @ Modulate
Jan 2024 – Jan 2025 | Somerville, Massachusetts, United States

### Senior Machine Learning Engineer @ Modulate
Jan 2022 – Jan 2024 | Cambridge, Massachusetts, United States

### Research Software Engineer @ Modulate
Jan 2020 – Jan 2022 | Cambridge, Massachusetts, United States

### Machine Learning Software Engineer @ Marlo
Jan 2019 – Jan 2020 | Boston, MA
Designed and implemented machine learning models, including CNNs and clustering models, to solve various audio and NLP tasks in the remote coworking space. Assisted with deployment of machine learning models to production via Google Cloud Platform. Contributed to backend integrations and applications with Slack, Google Calendar, and Zoom using Python, Django, JavaScript, and ElectronJS.

### Researcher @ Information and Data Sciences Lab
Jan 2017 – Jan 2019 | Boston University
Conducted research under Dr. Brian Kulis. The work focused on unique music generation in the form of raw audio using integration of different variations of deep neural network models, and feature extraction with these models in TensorFlow. Periodically presented progress and findings for various groups, seminars, and workshops.

### Teaching Assistant (EC414) @ Boston University College of Engineering
Jan 2019 – Jan 2019 | Boston, MA
Course: Introduction to Machine Learning (EC414). Assisted 70+ students with understanding fundamental machine learning concepts and completing algorithm implementations using Python and TensorFlow. Developed homework assignments using Jupyter to improve comprehension and promote exploration of material, including topics such as classification/regression models, Bayesian models, clustering, and deep neural networks. Led recitation weekly with 35 students.

### Software Engineering Intern @ Boston University Software & Application Innovation Lab
Jan 2018 – Jan 2019 | Boston, MA
Worked on developing systems that employ secure multi-party computation in accessible, scalable ways. Primarily contributed to JIFF (JavaScript Implementation of Federated Functionalities), a platform for MPC protocol prototyping and privacy-preserving web application development. I focused on extending JIFF by integrating secure machine learning algorithms into the framework.

### Research Assistant @ Rafik B. Hariri Intitute for Computing
Jan 2018 – Jan 2018 | Boston, MA
Assisted with conducting research in a team under Dr. Andrei Lapets. Worked on developing systems that employ secure multi-party computation in accessible, scalable ways, particularly in deep learning applications.

### Teaching Assistant (EK127/125) @ Boston University College of Engineering
Jan 2016 – Jan 2018 | Boston, MA
Course: Introduction to Programming for Engineers (EK125). Assisted 350+ students per semester with development of algorithm and problem solving skills using MATLAB and C.  Contributed to development of group projects and auto-graded online problems to improve comprehension and promote exploration of material. Led recitation weekly with ~50 students.

### IT Lead @ Peter Sanborn Place
Jan 2014 – Jan 2016 | Reading, MA
Pioneered and completed the deployment of Response Care, Inc. as a new emergency resident call system platform. Trained employees to use RCare smartphone app and computer interface.


## Education
### Bachelor’s Degree in Computer Engineering
Boston University

### Computer Engineering
Universidad Pontificia Comillas

### High School
North Reading High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/rachel-manzelli

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Source: https://flows.cv/rachelmanzelli
JSON Resume: https://flows.cv/rachelmanzelli/resume.json
Last updated: 2026-03-31