Eric Freiling, Developer in San Diego, CA, United States
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Eric Freiling

Verified Expert  in Engineering

Algorithms Developer

Location
San Diego, CA, United States
Toptal Member Since
September 20, 2018

Eric is a senior data scientist based in San Diego, and prior to his current career, spent six years in the defense industry. He has a strong academic background culminating in a master's degree in mathematics and a PhD in electrical engineering. Some of the areas that he's worked in are algorithm development, signal/image processing, and machine learning.

AlgorithmsClusteringMachine LearningMATLABPyCharmPythonKerasDeep LearningSciPyNumPyJupyterTeradataTableauSQLCPrincipal Component Analysis

Availability

Part-time

Preferred Environment

MATLAB, PyCharm

The most amazing...

...project I've worked on was fingerprinting radios.

Work Experience

Senior Data Scientist

2018 - PRESENT
Sotera Wireless
  • Created new SpO2 calibration techniques, SpO2 feature calculations, and a PPG beat classification for signal quality metrics.
  • Developed unsupervised learning and clustering techniques in Python.
Technologies: PyCharm, Jupyter, Python

Data Scientist

2017 - 2018
Teradata
  • Created event detection algorithms for several business use cases on signals regarding database health; developed those algorithms in Python and SQL.
  • Explored root cause data. Given a scenario of poor database performance or unusual behavior, explored massive data sets to find root cause with an accompanying explanation for customers (Python, SQL, and Tableau).
Technologies: Tableau, PyCharm, Python, SQL, Teradata

Software Engineer - Scientist III

2011 - 2017
KAB Laboratories
  • Worked with a team of software engineers and algorithm developers to create handheld push-to-talk radio fingerprinting algorithms.
  • Worked on feature extraction and pattern detection on radio signals to uniquely identify radio devices, make, and model independent of the speaker.
  • Developed algorithms in MATLAB and collaborated with engineers to convert the code to C for production and helped deploy the product.
  • Created unique digital signal filtering techniques for radio fingerprinting. The project had been successful with moderate noise, but real-world applications had more noise than expected. These unique filtering techniques led to the success of the project in real-world noisy environments.
  • Developed an algorithm in MATLAB and converted it to C for production; the product was deployed and deemed successful.
  • Wrote signal modulation detection algorithms, pattern detection in the Fourier domain. Satellites can be saturated by unwanted signals. Detection of signal modulation and frequency was a way to classify wanted versus unwanted signals.
  • Developed algorithms in MATLAB and converted the code to C for production.
  • Designed and trained deep learning techniques and other machine learning algorithms to identify ship vessel type based on transit patterns; this project was short term.
Technologies: C, MATLAB

Teaching Assistant

2011 - 2014
UCSD | University of California, San Diego
  • Assisted several professors in supplementing course material, hosting discussion sections, holding office hours, grading homework and exams for the following courses: Graduate Level Digital Image Processing, Graduate Level Random Processes, and Undergraduate Probability.
  • Received the "Best TA Award" in the Electrical Engineering department for a graduate class in digital image processing.
Technologies: MATLAB

Teaching Assistant - Instructor

2008 - 2010
SDSU | San Diego State University
  • Acted as an instructor for two classes per semester: Statistics and Business Calculus.
  • Designed lesson plans, course material, and graded homework and exams.
  • Worked with the professors to assure that the lesson plans aligned with his teaching materials.
Technologies: MATLAB

Transfer Learning on Small Datasets

I compared the benefits of transfer learning on a small dataset to deep learning with data augmentation.

Other

Algorithms, Software Development, Principal Component Analysis (PCA), Clustering, Digital Signal Processing, Image Processing, Deep Learning, Machine Learning

Languages

Python, SQL, C

Libraries/APIs

Keras, SciPy, NumPy

Tools

PyCharm, MATLAB, Jupyter, Tableau

Paradigms

Data Science

Storage

Teradata

2010 - 2014

PhD Degree in Electrical Engineering

University of California, San Diego - San Diego, CA, USA

2008 - 2010

Master's Degree in Applied Mathematics

San Diego State University - San Diego, CA, USA

2006 - 2008

Bachelor's Degree in Mathematics

University of California, San Diego - San Diego CA, USA

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