Kyle Brubaker Email & Phone Number
Who is Kyle Brubaker? Overview
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Kyle Brubaker is listed as Senior Principal Engineer at Arm, a with 10356 employees, based in San Diego, California, United States. AeroLeads shows a matched LinkedIn profile for Kyle Brubaker.
Kyle Brubaker previously worked as Principal Applied Scientist at Amazon Web Services (Aws) and Senior Data Scientist at Amazon Web Services (Aws). Kyle Brubaker holds Master Of Science (M.S.), Biomedical/Medical Engineering from Polytechnic Institute Of New York University.
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About Kyle Brubaker
Data scientist and machine learning engineer. Recent work has focused on quantum computing, as well as quantum-inspired and classical optimization solutions. Delivered on a variety of projects, from prototype/POC modeling exercises to production-ready systems builds, usually from scratch. Broad experience with statistical learning, machine learning, and deep learning, with a focus in natural language processing (NLP). Familiar with all stages of the machine learning model lifecycle.
Listed skills include Data Analysis, Statistics, Matlab, Research, and 21 others.
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Kyle Brubaker work experience
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Principal Applied Scientist
CurrentPrincipal Applied Scientist at the Amazon Quantum Solutions Lab (QSL).
Senior Data Scientist
Recent work leverages quantum computing, classical optimization, and machine learning to solve problems, as a member of the Amazon Quantum Solutions Lab. Customer projects include:• Peptide docking simulation using quadratic unconstrained binary optimization (QUBO)• Enrollment site optimization for clinical trials• Robot motion planning optimization (via quantum annealing)• Explainable AI formulations (via quantum annealing)
Data Scientist
Working as a data science consultant, delivered a variety of ML-based customer projects to production-ready settings. Helping define and build out ML Engineer role within the org. Customer projects include:• Automated document processing platform to expedite existing due diligence process• Telecom fraud detection platform to catch fraud faster and detect previously missed cases• Personalization engine for online classes to improve user engagement• Automated document parsing platform to expedite content extraction• Optimization of tensorflow-based distributed training on AWSInternal contributions include:• Defined ML Engineer job reqs and built work sample used to assess candidates• Developed abstract, reusable ML design patterns for use both internally and externally• Mentored junior team members in data science and ML engineering
Co-Founder + Data Scientist
Lead development of a fitness-based IoT platform to provide real-time weightlifting data to athletes. The technology was built in-house by a small team of engineers and developers. My responsibilities include:• Managing our Cloud (Amazon Web Services; AWS) servers (EC2: Ubuntu, Linux)• Managing AWS database architecture and use (RDS: PostgreSQL) • Building control programs for data to be received and sent to website (Python, PHP)• Building data processing and machine learning pipelines to properly leverage collected data (Python)
Machine Learning Engineer
Built and deployed a system to provide optimal price recommendations on Client's technology product offerings that would jointly maximize the Client's revenue on the sale and the customer's likelihood of purchasing at that price. API serviced global geographic regions for the Client. My duties included:• Building the platform communication + model implementation within the API • Redesigning the model implementations to improve accuracy and efficiency • Building + scaling COPRA architecture to serve all geographic regions, hosted on BlueMix • Continuing development of the Software model• Training customer team members on Python software development
Data Scientist
I automated data collection + processing workflows, and developed a variety of analytic tools, customized for the school and network teams. My projects included:• Developed and built custom data analytics apps, hosted via Bokeh on EC2• Built custom workflows for other departments to improve processes and facilitate data reporting• Engineered ETL processes and data structures for data within the organization• Prototyping prescriptive analytics including regressions, classification, clustering
Pre-College Tutor/Teacher
Private Teacher - Small/Medium Classroom* SAT I, ACTPrivate Tutor* SAT I, ACT, ISEE, SHSAT, SAT II - Math (Levels 1&2), SAT II - Physics, SAT II - Biology, AP Biology, AP Physics
Junior Research Scientist
I was tasked with helping to maintain and further develop the lab's current brain machine interface to allow for long lasting, dextrous individual finger control through a DARPA-funded project. I supported prep and execution of novel neuro-surgical techniques, signal data processing and organization, and maintenance of the physical brain machine interface and motion capture suite. My duties included:* Developing an upper limb neural prosthesis (brain machine interface) framework to allow for higher degree of freedom movement using advanced hardware, signal processing, and machine learning (Matlab)* Coded programs to automate extensive signal processing of kinematic and neural data including feature identification, classification, and extraction, and time-frequency spectral analysis (Matlab)
Research Associate
The goal of this project was to establish a common baseline number of CT scans that would be permissible for any given subject before radiation levels to key organs becomes hazardous, based on certain parameters. To do this, relevant patient data had to be generated from CT, MRI, and other imaging modalities, and then stored in a custom built SQL database using MSSQL. This data was then made available to radiologists and doctors via an app built into the current radiological suite at the VA hospital. My duties included:* Dosimetry: working to establish baseline number of CT scans permissible on patient, given physical characteristics (e.g. height, weight, sex) using a non-linear parametric model (Microsoft Visual C#)* Learned bioinformatics standards at VA hospital as means to access radiological records* Helped develop framework for networked user interface, integrated into a standard radiological suite, as a portal to the dosimetry information (Microsoft Visual C#, MSSQL)
Consultant
This project was designed primarily to facilitate Pathogenica's start as a biotech company; to get them off the ground with a proper understanding of the technology. To do this I worked with Pathogenica on proper wetlab procedure for padlock probe capture and analysis. This was a specialization that I learned in school, and was able to teach to Pathogenica's people. My responsibilities included:* Led efforts to establish and refine Pathogenica's laboratory operations within Harvard Medical School* Assisted Pathogenica by guiding efforts in padlock probe capture of DNA* Helped refine methods for DNA capture and quantification* Assisted members of Genetics department in DNA capture routines and protocols
Research Associate
Genomics Research under Dr. Kun ZhangDepartment of Bioengineering, UC San DiegoThis position was multi-faceted, but its focus was to assist Dr. Zhang's lab develop DNA sequencing and analysis capabilities as part of a research effort into questions about the genome of induced pluripotent stem cells. Much of this was wetlab work, which comprised DNA separation, isolation, amplification, and sequencing. My duties included:* Identifying methylated sequencces of the human genome* Assisted in creating viable probe-captured DNA for sequencing and analysis* Proficient in various wetlab procedures: PCR, gel imaging, cell culturing, microscopy
Paid Internship
Worked under Dr. Morioka and Dr. KangerlooThe goal of this project was to develop a database, built from CT and MRI scans, of various human organs to define volume for automated cancer detection. To accomplish this, the data images had to be labeled and stored via a proprietary databasing tool, and then automatically retrieved and processed into segments that could then be assessed for cancerous landmarks. My responsibilities included:* Assisted in 3D imaging research of the human body* Developed algorithm to automatically segment medical scan images (Java)* Assisted in building an online database (HTML)
Colleagues at Arm
Other employees you can reach at arm.com. View company contacts for 10356 employees →
Kumar Ravi
Colleague at ArmDelhi, India
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Tejas Bhagwat
Colleague at ArmAustin, Texas, United States
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钟立飞
Colleague at ArmShanghai, China
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Daniel Rahme
Colleague at ArmTrondheim Region, Norway
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Panesh Patel
Colleague at ArmGreater Leicester Area, United Kingdom
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Michele Zevassus
Colleague at ArmSweden
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Nicholas Gibbons
Colleague at ArmPeterborough, England, United Kingdom
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Miniko Harayama
Colleague at ArmJapan
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Rakshit Goyal
Colleague at ArmBengaluru, Karnataka, India
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Sudarshan Thorve
Colleague at ArmRaleigh, North Carolina, United States
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Kyle Brubaker education
Master Of Science (M.S.), Biomedical/Medical Engineering
B.S., Biomedical Engineering: Pre-Medical
Frequently asked questions about Kyle Brubaker
Quick answers generated from the profile data available on this page.
What company does Kyle Brubaker work for?
Kyle Brubaker works for Arm.
What is Kyle Brubaker's role at Arm?
Kyle Brubaker is listed as Senior Principal Engineer at Arm.
Where is Kyle Brubaker based?
Kyle Brubaker is based in San Diego, California, United States while working with Arm.
What companies has Kyle Brubaker worked for?
Kyle Brubaker has worked for Arm, Amazon Web Services (Aws), Fit A.I., Indellient Inc., and Success Academy Charter Schools.
Who are Kyle Brubaker's colleagues at Arm?
Kyle Brubaker's colleagues at Arm include Kumar Ravi, Tejas Bhagwat, 钟立飞, Daniel Rahme, and Panesh Patel.
How can I contact Kyle Brubaker?
You can use AeroLeads to view verified contact signals for Kyle Brubaker at Arm, including work email, phone, and LinkedIn data when available.
What schools did Kyle Brubaker attend?
Kyle Brubaker holds Master Of Science (M.S.), Biomedical/Medical Engineering from Polytechnic Institute Of New York University.
What skills is Kyle Brubaker known for?
Kyle Brubaker is listed with skills including Data Analysis, Statistics, Matlab, Research, Bioinformatics, Molecular Biology, Genomics, and Biotechnology.
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