Tech Talent Vault

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Software Engineer - Scrum Master

Chris Steven

Chris Steven
Willing To Relocate Anywhere in the United States
Base ID: 73042

Education

UCLA Ph.D. Physics

UCLA M.S. Physics

UCLA B.S. Physics

Magna Cum Laude and with Physics Department Honors, UCLA

UCLA Dean’s Fellowship

Professional Experience

  • 26+ years of experience in the Tech Industry as a Software Engineer
  • Tech professional with C++ (19 years), Modern C++, C (20+ years), M.S. Visual C++ / eVC++ / MFC
  • Microsoft SQL Server (10 years), SAP/Sybase ASE (10 years), IQ (10 years), and some PostgreSQL
  • ANSI SQL and T-SQL (10 years), ODBC
  • Agile/Scrum, Scrum Master (2 years)
  • Software developer professional that developed for collaboration, database monitoring, vision systems, scientific applications, business forecasting applications, and more.

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VP Data Science

Yury Grinberg

Yury Grinberg
Willing To Relocate Anywhere in the United States
Base ID: 70429

Education

Ph.D., Managerial Economics and Strategy, Northwestern University

B.A., Economics, Wayne State University, Detroit

Professional Experience

  • 11+ years of IT Experience
  • Director of Central Algorithms, Economics, and Science Executive with years of experience in e-commerce, U.S. federal government, and academics.
  • Building and leading successful data science, economics, and machine learning teams, working both with experimental and with observational/real-world data
  • Led a team of twenty data scientists, economists, engineers, and machine learning scientists, analyzing the effectiveness of Amazon’s worldwide marketing spend.
  • VP of Data Science with a Data Science Certificate.

Previous Company

Amazon

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Data Scientist

Adrian Bailay

Adrian Bailay
Willing To Relocate Anywhere in the United States
Base ID: CH6701

Education

2011- Master of Science in Computer Systems Engineering – Northeastern University

2005- Bachelor of Science in Mathematics University of Huston

Professional Summary

  • 8+ years of experience as a tech professional in data science/machine learning, driving insights from complex data, forecasting, predictive and explanatory analysis, modeling and simulation, optimization, coding in open source programming language.
  • Data Science professional who pioneered technology transformation and optimization projects in multiple companies.
  • Data Scientist skilled in Python, R, SQL, Linux, Big Data, NPL, Analytical Models, Database Architecture, ML, Power BI, and IBM Cognos

Previous Company

Certificates

MLC Exam/4

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Machine Learning Engineer: NLP Specialist

Clyde Marx

Clyde Marx
Willing To Relocate Anywhere in the United States
Base ID: 71555

Education

MS, B. Eng: Physics, Material Science Engineering
SM, Nuclear Engineering & Applied Sciences

Profesional Experience

  • Data Science professional who delivers engineering solutions that systematize management by automating decision-making at the company level. This includes processing unstructured text data (e.g PDFs) into query-able tables of interesting entities.
  • The AI COE resides at the intersection of all core activity within Fidelity investments by providing AI-driven insights for the $5.7 T of assets managed for clients.
  • A Machine Learning Engineer who implemented ML & data science techniques to process call data leveraging knowledge graphs, ontology, named entity recognition, speech/written language/voice recognition, and interactive chatbots.
  • Data Engineer who published an internal white paper detailing a Laplace smoothing technique he implemented for noise reduction in time series data.

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DevOps Data Engineer / Programmer DevOps Data Engineer / Programmer

Patrick Holmes

Patrick Holmes
Willing To Relocate Anywhere in the United States
Base ID: 1721

Education

Master of Science, Statistics – New York University

Professional Experience

  • Big Data expert with extensive software engineering and data scientist skills, an insatiable intellectual curiosity, and the ability to mine hidden gems located within large sets of structured, semi-structured, and unstructured data.
  • A Senior DevOps Engineer who is able to leverage a heavy dose of mathematics and applied statistics with visualization and a healthy sense of exploration using predictive analytics is another area that he thrives in.
  • A Data Science professional experienced in Spark, Scala, and Java are tools that he primarily used to gain insight into our data as well as leverage it.
  • Using Spark to process large data sets, Kafka, and AWS to Stream data as well as to get real-time analytics.

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Azure Cloud Engineer

Raul Lammens

Raul Lammens
San Francisco, California - United States
Base ID: CH0783

Education:

MS in Computer Science at the University of Washington

Professional Summary:

  • 10+ years of experience in Information Technology, with hands-on experience in Cloud, Systems Engineering and Application Development
  • Domain in integration technologies such as Azure for DevOps, Jenkins, Puppet, and Spinnaker. 
  • Application server technologies, cloud application design, software architecture and practices (Agile, SCRUM, ALM)
  • Deep knowledge of cloud platforms and services in Azure
  • Strong working knowledge on Azure development/ Cloud Security/ Cloud DevOps services with a background in Java/.Net/Python.
  • Hands-on experience across multiple scripting technologies and tools such as JSON, Python, Bash, Shell, PowerShell

Previous Company:

3M

Certificates:

Microsoft Certified: Azure DevOps Engineer

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