I am an electrical engineer with an avid interest in data science, especially in the creation and optimization of distributed computing infrastructure to support analytic operations. I am deeply interested in how machine learning and cognitive computing projects could aid in the design of everything from smarter networks to more life-like prosthesis, and in providing the kind of data analysis capabilities that an individual, a team, or a company could use to make informed business decisions that would otherwise have been left to informed guesswork. I also have experience automating processes in many types of computing environments, using Python, Spark, Hadoop, Git, Excel, and various other tools and languages.

Quality Assurance Lead @ Created a testing system for Kindara's software, firmware, and hardware. Researched regulatory requirements for new hardware, including FCC, Industy Canada, FDA, and CE certifications. Managed in-house and contracted compliance testing. From October 2015 to Present (3 months) Enterprise SSD Test Automation Engineer @ Automated hardware tests in a data center environment using Python. Designed and created a production distributed computing cluster using Hadoop to store and analyze data from test servers. Used SQL and HBase databases and HDFS for data storage. Analyzed and visualized data using Spark, Hive and other Hadoop tools. Developed a code management strategy for a team of software engineers. Created a custom build environment for distributing code to test servers, including compiled (C++) tools, linked libraries, and Python scripts, and tied build/distribute functionality into the team's Git repositories. From December 2014 to October 2015 (11 months) Grant Writer @ Wrote grant proposals for the NSF and other organizations seeking funding for the Horus Biopsy Assistant. Assisted in researching the technical background and market strategies for the Horus. Managed various tasks relating to founding the start-up, including handling legal and financial paperwork and registration with government offices. From May 2014 to December 2014 (8 months) Intern @ Reverse-engineered the Data Highway Plus (DH+) communication protocol using broadcast output from PLCs. Programmed DH+ compatible drivers for SoftPLC hardware in C++. Developed interrupt-driven drivers for serial communication with ARM Cortex-based microcontrollers. Modified PLCs for embedded sensing and communications. From May 2013 to August 2013 (4 months) Research Assistant @ Manufacturing graphene for experimental transistors. Conducting experiments on methods for depositing thin films on graphene transistors. Measured characteristics of deposited films using ellipsometry and atomic force metroscopy (AFM). Documented experimental data for use in future experiments. From May 2013 to August 2013 (4 months)

Bachelor of Science (BS), Electrical and Computer Engineering @ The University of Texas at Austin From 2011 to 2014 Bachelor of Arts (B.A.), History @ University of Portland From 2003 to 2006 Toma M. is skilled in: Python, C++, Hadoop, Programming, Linux, Embedded Systems, Microsoft Excel, Apache Spark, Git, Java, Public Speaking, Matlab, Gradle, Software Engineering, Thin Films, Semiconductor Device