Eric Freiling
Algorithms Developer
Location
San Diego, CA, United States
Toptal Member Since
August 4, 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.
Eric is available for hire
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Sotera Wireless
PyCharm, Jupyter, Python
Teradata
Tableau, PyCharm, Python, SQL, Teradata
KAB Laboratories
C, MATLAB
Experience
Algorithms - 8 yearsDigital Signal Processing - 6 yearsClustering - 6 yearsMachine Learning - 3 yearsPython - 3 yearsImage Processing - 3 yearsData Science - 3 yearsKeras - 1 yearLocation
Availability
Part-time
Preferred Environment
MATLAB, PyCharm
The most amazing...
...project I've worked on was fingerprinting radios.
Work Experience
2018 - PRESENT
Senior Data Scientist
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
2017 - 2018
Data Scientist
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
2011 - 2017
Software Engineer - Scientist III
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
2011 - 2014
Teaching Assistant
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
2008 - 2010
Teaching Assistant - Instructor
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
Experience
Transfer Learning on Small Datasets
I compared the benefits of transfer learning on a small dataset to deep learning with data augmentation.
Skills
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
Education
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