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# Kyle R.

**Headline:** Research Assistant
**Profession:** Research Assistant
**Location:** Fairfield, Connecticut, United States

## About

Kyle R. is a machine learning researcher at Fairfield University, where he works with Servo Robot on machine learning and robotics research. Kyle specializes in ML and AI, with particular strengths in model building, evaluation, feature engineering, data cleaning, normalization, and preparing raw data for machine-learning systems. He bridges academic research with production needs, making pragmatic choices between custom-built and pre-built solutions based on factors such as available data. Kyle is especially interested in hands-on model development and tuning, while remaining flexible across ML integration, API development, data engineering, and full-stack work. He built, deployed, and maintained a full-stack computer-vision system for a servo robot in production for one year, and he has published research in graph neural networks. Kyle has also worked with voice systems, where he focused on transcription accuracy and voice naturalness, and has prior experience with the Twilio telephony API. He holds a Master of Science in Software Engineering from Fairfield University and studied Computer Science there as well.

## Highlights

- Conducts machine learning and robotics research with Servo Robot through Fairfield University.
- Built, deployed, and maintained a full-stack computer-vision system for a servo robot in production for one year.
- Published research work in graph neural networks.
- Specializes in ML and AI model building and evaluation.
- Bridges academic ML research with production needs and pragmatically evaluates custom versus off-the-shelf solutions.
- Has academic experience training machine-learning models from scratch.
- Has used off-the-shelf models in workforce settings when data availability made them the practical choice.
- Experienced in ML integration, API development, data engineering, and full-stack work.
- Experienced in feature engineering, data cleaning, normalization, and preparing raw data for ML systems.
- Worked on voice systems with attention to transcription accuracy and voice naturalness.
- Has prior experience with the Twilio telephony API.
- Supported Fairfield University's Electrical Engineering lab as a Laboratory Assistant.
- Worked with Electrical Engineering lab equipment including laser cutters, soldering irons, and Arduino hardware.
- Trained for and performed teaching-assistant work for labs using basic circuitry, soldering irons, and Arduinos.
- Earned a Master of Science in Software Engineering from Fairfield University.
- Studied Computer Science at Fairfield University.

## Experience

- **Research Assistant at Fairfield University** (2021-09-01–present) — I am a machine learning researcher working with Servo Robot through Fairfield University. I conduct research coinciding with Servo Robot in the field of Machine Learning and Robotics.
- **Laboratory Assistant at Fairfield University** (2019-06-01–2021-05-01) — Keeping an Electrical Engineering lab together for labs and other various purposes. This also included me being involved with equipment like laser cutters, soldering irons, Arduino, etc. These jobs also included both the training and execution of being a teaching assistant for labs requiring the use of basic circuitry, soldering irons, and Arduinos.

## Education

- Master of Science - MS, Software Engineering — Fairfield University (2020-09-01–2022-05-01)
- Computer Science, Computer Science — Fairfield University (2017-01-01–2021-01-01)

## FAQ

### What does Kyle do now?

Kyle is a machine learning researcher at Fairfield University. He conducts machine learning and robotics research with Servo Robot through the university.

### What are Kyle's core technical strengths?

Kyle specializes in machine learning and AI, with a focus on building and evaluating models. His primary strength is ML integration, and he is also comfortable with API development, data engineering, and full-stack work.

### How does Kyle approach ML solutions for production?

Kyle connects academic ML research with production requirements. He can assess whether a custom model or an off-the-shelf solution is more appropriate, including when data availability affects that decision.

### What experience does Kyle have with custom and pre-built models?

Kyle has academic experience training models from scratch. In workforce settings, he has used off-the-shelf models when the available data made that the practical choice.

### What data-preparation work has Kyle done?

Kyle identifies feature engineering as a central challenge in ML work. He has experience cleaning and normalizing data and transforming raw data into features suitable for machine-learning systems.

### What did Kyle build for Servo Robot?

Kyle built a full-stack computer-vision system for a servo robot. He deployed and maintained the system in production for one year.

### What research has Kyle published?

Kyle has published research work in graph neural networks.

### What is Kyle's experience with voice systems?

Kyle has worked on voice systems. The primary challenges he addressed were accuracy in transcription and the naturalness of generated voice.

### Has Kyle worked with telephony APIs?

Kyle has prior experience with the Twilio telephony API.

### What did Kyle do as a Laboratory Assistant at Fairfield University?

As a Laboratory Assistant at Fairfield University, Kyle supported an Electrical Engineering lab for laboratory sessions and other uses. He worked with equipment including laser cutters, soldering irons, and Arduino hardware.

### What teaching-assistant experience does Kyle have?

Kyle received training and carried out teaching-assistant responsibilities for labs involving basic circuitry, soldering irons, and Arduinos.

### What is Kyle's education?

Kyle holds a Master of Science in Software Engineering from Fairfield University. He also studied Computer Science at Fairfield University.

### What kind of work does Kyle prefer?

Kyle prefers opportunities that involve in-depth, hands-on model development and tuning rather than integration work alone. He also describes himself as flexible across multiple dimensions of work and role scope.

### What opportunities and work arrangements is Kyle open to?

Kyle would jump at opportunities with FAANG or FAANG-adjacent companies. He is open to on-site, hybrid, and remote work arrangements.

### What working environment does Kyle value?

Kyle prefers environments with strong team support for handling production incidents.

## Links

- LinkedIn: https://www.linkedin.com/in/kyle-r-24986b133

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