Tech Talent Vault

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Senior Artificial Intelligence Researcher / NLP Engineer

Gautam Mohar

Gautam Mohar
Willing To Relocate Anywhere in the United States
Base ID: 71019

Education

M.S in Computer Science, New Jersey Institute of Technology

Professional Experience

  • Built an AI framework consisting of a Deep Convolutional Neural Network for identifying patterns in the historical datasets.
  • Improved the analyst consensus from 52% to 74% for predicting the Lines of Influence in Stock Market using the Natural Language Processing framework and financial data.
  • Extract meaningful topics out of a corpus of large text data or real-time streaming data. Reduced the manual human effort for hierarchical topic discovery from an average of 140 individual hours across 500,000 to 1 million tokens to less than 2 minutes.
  • Led a team of data scientists and software engineers to source data from multiple data sources such as DBPedia, WikiData, NewsAPI, etc., and helped them perform ETL transformations/analytics on it.
  • Improved the business value and efficiency for automatically validating the incoming text data from multiple sources and the benchmark was more than 95% of improved accuracy.
  • Summarized huge amounts of real-time streaming multi-modal data with regards to the specialized topics that can change on a daily basis. (Approximately 9 billion tokens of text data were summarized over a period of 24 hours).
  • Artificial Intelligence Researcher & Data Science Certified

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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.

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Data Science Manager

Joseph Thomas

Joseph Thomas
New Jersey, Jersey City - United States
Base ID: 65302

Education

2009 – B.S. Electrical Engineering & B.S. Computer Science – Texas Tech University

Professional Experience

  • Global technical leadership experience with 10+ years of professional experience.
  • Leading the global Computer Vision / AI organization, responsible for researching, developing, and delivering market-disrupting production-grade technologies to the automotive insurance and repair industries.
  • Develop and maintain technical roadmaps, project schedules, staffing plans, and budgets to align with product priorities, sales needs, and financial targets
  • Delivered technical presentations at trade shows, public seminars, and private events with up to 200 attendees.
  • Staffed and managed a team of 5 controls engineers researching and implementing novel control algorithms and hardware for Extreme Ultraviolet (EUV) light sources used in semiconductor manufacturing.

Previous Experience

ASML

Certificates

AI & Machine Learning Certificate

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Chief Data Scientist

Erica Mackeson

Erica Mackeson
Willing To Relocate Anywhere in the United States
Base ID: 54983

Education

Exec MS Technology, Penn State University

Professional Experience

  • Data Science professional with 30 + years of experience in data mining and analytics projects in Risk Modeling, and Profiling and Segmentation analysis
  • A Chief Data Scientist highly experienced in Logistics Modeling Credit Scoring, Fraud Detection, Operations Research, Forecasting, and Optimizations.
  • Multiple Awards for Process Improvements and Projects as Lead Role.
  • Big Data Team Lead for all forecasting activities and evaluation of customers and operational needs.

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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

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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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