Tech Talent Vault

All tech talent candidates names and images have been substituted for privacy reasons*

Senior Cloud Engineer

Sean Harris

Sean Harris
Willing To Relocate Anywhere in the United States
Base ID: 75418

Education

University Of Buea, B.Sc, Computer Science, 2006-2009

Stevens Institute Of Technology, Master’s in Enterprise & Cloud Computing, 2020-10-Present

Professional Experience

  • 12+ years in the IT Industry
  • 10+ years as a Software Engineer
  • 9+ years as a Cloud Software Engineer
  • Created AWS Multi-Factor Authentication (MFA) for instance RDP/SSH login, worked with teams to lockdown security groups.
  • Worked on AWS Elastic Beanstalk building and deploying Web Apps and integrating web server and worker environment
  • A Senior Software Engineer who automated front-end platform into highly scalable, consistent, repeatable infrastructure using automation tools like Kubernetes, Jenkins, and cloud formation.
  • Tech Professional who worked on Designing, Architecting, and implementing scalable cloud-based web applications using AWS, AZURE & GCP.

 

Previous Company

Show more
Lead Data Science/Operations Research Analyst

Jake Linus

Jake Linus
Willing To Relocate Anywhere in the United States
Base ID: 71568

Education

Doctor of Philosophy, Biology (Bioinformatics) University of Houston

Master of Science (Management Information Systems) Wright State University

Professional Experience

  • 20+ years experience as an IT Professional. Experienced with Jupyter Notebook, Microsoft Visual Studio, Cygwin, Eclipse, XCode, Android Studio, RStudio, and MixTex (Latex) software development environments.
  • 20+ years experience in OOD algorithm development using C++, C#, Objective C, Java/JavaScript/JScript, VB, R, MatLab, Julia, Python, ASP/.Net, CGI/Perl, and Latex (back-end, front-end, and GUI-based software), including Pandas, SciKitLearn, MLBench.
  • 20+ years of experience in web development using HTML/XML/CSS and combinations of languages and databases.
  • 13 years of experience as a Data Scientist professional with experience in big data applications. Including data mining, biological modeling, standard statistical analysis, and, recently, machine learning/artificial intelligence platforms including TensorFlow and the Microsoft Cognitive Toolkit

Previous Company

Show more
Chief Data Officer

Sol Amara

Sol Amara
Willing To Relocate Anywhere in the United States
Base ID: 56493

Education

Harvard: Executive Program in Disruptive Strategy

Professional Summary

  • 20+ years of Data IT Professional experience
  • 6 years working directly for IBM. First-generation to take IBM Watson to market. 
  • 7 patents issued,  21 files, and receiving the “Top 21 CDO’s in New York in 2020” award, ”Top 100 Innovators in Data & Analytics”, and “2020 Top 50 Leaders in Entertainment” for her thought leadership in the technology space
  • By using Data & Analytics, Data Science, Automation/RPA, AI, Engineering, Enterprise Information Management Practices, Product Development, Cloud-Based Architecture, Design Thinking, and the latest in Information Systems, Security, and Compliance, Sol is helping organizations become innovative and modern.

Previous Company

Amazon

Certificates

Watson Cognitive Computing C101, Watson Cognitive Computing C201, Business Intelligence BI0101, Cyber Security SC103, Master Data Management MDM100, MDM101, and MDM400, SAP Data Services 4.0, SAP MDG 4.1, SAP NetWeaver NW001, SAP Business Solutions SAP125, PMP

Show more
Senior Data/AI Scientist

Adya Dara

Adya Dara
Los Angeles, California - United States
Base ID: 71560

Education

Ph.D. Chemical Engineering, University of Tennessee, Knoxville, TN

Professional Experience

  • 10+ years in the IT space.
  • AI Scientist, Data Scientist with Engineering, and Computational Science background.
  • Exploring the capabilities of modern artificial intelligence and deep neural network solutions to practical problems.
  • As a Data Scientist professional, experimenting and implementing data analysis methods with efficient tools to derive accurate outcomes from big data.
  • Experience in developing end-to-end ML pipelines and deployments. Provided computational collaboration to scientific research through molecular models, simulations, and data analysis in academia.

Previous Company

Show more
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

Show more
Data Science Vice President

Jonathan Lewis

Jonathan Lewis
Willing To Relocate Anywhere in the United States
Base ID: 46111

Education

2019 – Technical Leader Program | Carlson Executive Education

2010 – Masters | Healthcare Administration | University of Minnesota

2007 – Bachelor of Arts | Philosophy and Great Ideas | Carthage College

Professional Summary

  • A Data Science Vice President with 11+ years in the market.
  • Created a world-class data science team and expanded it globally to 23 people 
  • Generated $17M in cost savings by improving adherence machine learning models in 2018 
  • Led 2019 Medicare Data Science strategic planning and identified key areas of focus that would differentiate UnitedHealthcare from competitors 
  • Founded the Machine Learning Center of Excellence to identify emerging trends and create best practices for machine learning throughout the enterprise  
  • Established end-to-end machine learning processes for model creation, validation, design, and deployment, reducing model completion times by 42%

Previous Company

Show more