Career OverviewMerrimack College Alumnus possessing a strong aptitude and interest in topics of Mathematics and Finance. Currently employed at AIR Worldwide as an SQA Engineer III. Additionally I have further developed my skill sets and broadened my professional expertise through two internships with Fidelity Investments. QualificationsSQL, C , C Microsoft Office Suite Education and TrainingMerrimack CollegeNorth Andover,MAExpected inMay 2014 B.A Mathematics-GPA Mathematics,Expected in B.S Business Administration Finance-GPA 3.17Business Administration Finance 3.17 Member of Pi Mu Epsilon National Mathematics Honor Society,Expected inJuly 2016 Exam P 1 September 2014 Exam FM 2 October 2015 Exam MFE 3 Expected -GPA Work ExperienceAbbott Laboratories-Software Quality Assurance Engineer IIAugusta,GA,11 2014-PresentEnsure the quality of flagship product Touchstone, a platform for assessing the catastrophic risk associated with an insurer s portfolio, through quality assurance methods, performance benchmarking and bug testing.Utilize automated testing to ensure the addition of new features bug fixes does not result in performance and quality regressions.Regularly present findings to stakeholders in order to aid in the decision making process of prioritizing new features and bug fixes.Hca-Process Innovation InternWest Hills,CA,06 2013-08 2013Developed a process map detailing the workflows and deliverables of the various Asset Management divisions in support of their multi-year business plans.Collaborated with business unit representatives to understand the interdependencies across teams, in an effort to streamline internal operations.Fidelity Investments-Global Data Services InternCity,STATE,05 2012-08 2012Worked closely with members of the Investment Services team in order to develop an acute understanding of their data needs regarding department wide investment decisions.Led quality assurance of data received from Bloomberg, Morningstar and other industry resources to ensure accurate global security reference data. Skillsstreamline, Asset Management, benchmarking, Bloomberg, business plans, C , decision making, features, financial analyses, Mathematics, C , Microsoft Office Suite, quality, quality assurance, FM, SQL  SEP  Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As a Machine Learning Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what s to come. We re the people helping to define the metaverse. We may not have all the answers. But together, we re getting closer. Software Engineer, Machine Learning - Reality Labs Responsibilities Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the trade-offs of already shipped featuresML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe a go-to person to escalate the most complex onlineproduction performance and evaluation issues, that require an in-depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering team Minimum Qualifications 6 years of experience in software engineering, or a relevant field or 4 years of experience if you have a PhD2 years of experience in one or more of the following areas machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in CC and Java, or experience with scripting languages such as Python, Perl, PHP, andor shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsBachelor s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Preferred Qualifications Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applications Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext fb.com.

ATS compatibility: Good Fit (score: 86.7)