John Knowles

Physicist Data Scientist Research Engineer

San Lius Obispo, California 93405

+1-206-***-**** ac2imu@r.postjobfree.com jknowles.science madmansn0w joknowle @madmansnow Summary

American physicist with 10+ years in computer science, 5+ years in R&D and electronics, and 3+ years in electrical engineering. Highly tech savvy and quick-witted. Motivated to creatively research, develop and implement quantum-based solutions for interesting optimization problems in data science and to foster strong experience in machine learning, deep learning, artificial intelligence, and associated domains. Skills

Programming Fluent in Excel, labVIEW, Mathematica, and Python Experience in C++, C# and MATLAB Tools Fluent in AWS, Matplotlib, NumPy, Pandas, and SciPy Intermediate in scikit-learn and TensorFlow Laboratory Function/ Signal / Pattern / Waveform Generator Optics Oscilloscope Power Supply Signal / Spectrum Analyzer General Autodidact Decisive Flexibility Linux Leadership Management Numerical Analysis Problem Solving Research and Development Scientific Computing Self-Confidence Self-Starter Teamwork Technical Writing Education

California Polytechnic State University: San Luis Obispo San Luis Obispo, California Bachelor of Science in Physics - Minor in Mathematics Sept. 2013 - June 2017

• Advised seniors and peers, over three years, on how to extensively improve their capstone projects with distinct and measurable results.

• Top performing student in laboratory experiments, reports and research ability. Highly resourceful and motivated to create new technology.

• Eight experimental labs, three years of undergraduate research, three independent research projects, and several project collaborations. San Diego Mesa College San Diego, California

Associate of Science in Physics Aug. 2010 - March 2013

• Twice recognized for academic achievements: Dean’s Honor List and achieved 4.0 GPA for academic year before transferring.

• A+ Honors Physics III: Waves, Optics & Modern Physics Experience

QwidgetCo Remote

Quantum Machine Learning Intern Sept. 2017 - Present

• Research and devise ensemble techniques for machine learning / deep learning problems based on strong classifiers to reduce training com- plexity; achieved good performance on binary and multi-label classification problems with large datasets.

• Design and customization of computational models and algorithms from scratch and from academic code / scientific papers.

• Conduct numerical computations and develop algorithms and algorithmic systems using Python in the iPython / Jupyter platform.

• Adept operation of toolkits such as TensorFlow, scikit-learn, word2vec, SciPy, NumPy, and Matplotlib in unsupervised research development. California Polytechnic State University: San Luis Obispo San Luis Obispo, California Cosmic Air Shower Array (CASA) Research Associate June 2015 - Sept. 2016 Trusted to extrapolate meaningful information about the geospatial origin of incident muons and the associated vector of primary cosmic rays. Project required the design and implementation of an array of low-cost, secondary cosmic muon detectors, but was ultimately limited to R&D of the detectors and the array construction was left to future students.

• Successfully demonstrated independence and drive by self-educating on all aspects of project; signal aquisition, coincidence, biasing, detec- tion, data collection, circuit design, signal analysis, and surface-mounted diode (SMD) soldering were investigated and implemented.

• Designed and constructed a high-speed pulse generator with CAD; utilized ground plane design, radio frequency shielding, PCB layout design, modulation/waveform design, biased amplifiers, and thermal profiling.

• Achieved comprehensive understanding of Altium, data visualization tools, circuit analysis, as well as the use of electrical signal, function, waveform, and pattern generators, oscilloscopes, power supplies and signal analyzers in an independent setting. California Polytechnic Physics Labs Cal Poly: San Luis Obispo Quantum Mechanics I-III, Polymer Electronics, Advanced Electronic Instrumentation, Chemistry Sept. 2013 - June 2017

• Consistently top performer in experimental laboratories. Worked well in project collaborations and fully endorsed by all laboratoryprofessors.

• Advanced proficiency with use of electrical equipment, lasers, detectors, optics, et al. Operated ten thousand-dollar equipment often.

• Explored the production of bulk heterojunction organic photovoltaics and performed substrate cleaning, polymer spinning, metal deposition, and device testing by operating ultra-sonic baths, spin-coat devices, vacuum evaporator, and equipment inside a nitrogen-filled glove box.

• Applied knowledge of SSD fabrication and characterization to build and analyze the performance of a semiconducting polymer solar cell. Raspberry Pi Mathematician: A Mobile Optical Character Recognition System Cal Poly: San Luis Obispo Senior Project Sept. 2015 - June 2016

• Successfully constructed a mobile photoelectric device with algorithmic solutions for handwritten and textual image detection by utilizing python, bash, shell scripts, Raspberry Pi 2, GPIO, parallel threading, hardware interrupts, Tesseract, ImageMagick and OpenCV.

• Improved computer vision clarity using image segmentation, object detection, and artifact removal.

• Improvedaccuracyofresultsusingimagepreprocessing(intensity, stroke, historical input), trainingdata,andothermachinelearningmethods.