Patrick Nicolas

Patrick Nicolas Email and Phone Number

Principal ML Engineer @ Hands-on Geometric Deep Learning
Los Altos, CA, US
Patrick Nicolas's Location
Los Altos, California, United States, United States
Patrick Nicolas's Contact Details
About Patrick Nicolas

As the Director Data Engineering at aidéo technologies, I lead and mentor global data engineering and science teams to deliver AI solutions for health care. I have over 25 years of experience in software and data engineering, architecture design, machine learning, and end-to-end deployment and support.My mission is to leverage the power of frameworks such as Spark, Kafka, Airflow, NoSQL and PyTorch to extract, process, and deploy diagnostic codes and claims from electronic health records. I have reduced models deployment time from 7 to 1 day, scaled processing throughput from 2.5 to 46 medical records/sec, and implemented a Neural Architecture Search library and Tensorization of datasets. I am also the author of "Scala for Machine Learning", Packt Publishing ISBN 978-1-78712-238-3, 2014-2017, a comprehensive guide to the functional capabilities of Scala for machine learning algorithms.Some of my contributions are available at https://github.com/patnicolas

Patrick Nicolas's Current Company Details
Hands-on Geometric Deep Learning

Hands-On Geometric Deep Learning

View
Principal ML Engineer
Los Altos, CA, US
Patrick Nicolas Work Experience Details
  • Hands-On Geometric Deep Learning
    Principal Ml Engineer
    Hands-On Geometric Deep Learning
    Los Altos, Ca, Us
  • Aidéo Technologies
    Director Data Engineering
    Aidéo Technologies May 2017 - Present
    Palm Beach, Florida, Us
    • Led and mentored global data engineering/science teams for the extraction of diagnostic codes and claims from health records with strong focus on data quality and traceability.• Built a problem-solving oriented and customer-centric culture with KPIs, clearly defined goals, ownership, and risk management (test-driven development).• Applied large language models to automated code and documentation generation.• Spearheaded MLOps roadmap implementation.--- Data engineering ---• Reduced models deployment time from 7 to 1 day by implementing dynamic routing, auto-replay, snapshots/data quality control, declarative configuration, latent documentation, data observability, data contracts, and CI/CD automation.• Scaled processing throughput from 2.5 to 46 medical records/sec using scalable architecture: Kafka, Spark, batching vs. streaming, Airflow, NoSQL/MongoDB, lambda architecture, Databases, Kubernetes.• Implemented a Neural Architecture Search library and Tensorization of datasets for data scientists: Spark, Parquet, PyTorch.• Orchestrated 58 successful releases to production, AWS/EMR/RDS/S3 leveraging agile development, pre/postproduction tests/updates: A/B, Thompson sampling.--- Machine learning ---• Evaluated clinical notes embedding techniques: Word2Vec, Autoencoders, BERT.• Developed a 74.9% accurate transformer model for health insurance claims prediction.• Applied HIPAA compliant data augmentation, reducing training set imbalance by 28%.
  • Chartboost
    Data Engineer - Ad Relevancy
    Chartboost Dec 2015 - Apr 2017
    San Francisco, California, Us
    Mobile game discovery and monetization platform• Designed and deployed ad targeting models, processing 25,000 ad campaign requests/sec.• Implemented Feature hashing, class balancing, and online exploration using Spark/NoSQLCourse: Functional program design in Scala
  • Dell
    Data Architect
    Dell Nov 2013 - Nov 2015
    Round Rock, Texas, Us
    Dell big data analytics enable business users to rapidly transform structured and unstructured data into analytic insights.• Led unstructured data transformation for Dell big data analytics platform using databases and emerging distributed computing technologies.• Implemented Feature hashing, class balancing, and online exploration.
  • Cloudweaver
    Vp Engineering
    Cloudweaver 2012 - 2013
    Cloudweaver's Application Defined Network solution allows developers and operation engineers to monitor, manage and optimize cloud networking resources• Led agile development, testing, deployment of a SaaS platform for resource optimization. • Applied machine learning for bottleneck remediation on AWS. (Company acquired by F5 Network)
  • 24X7 Content
    Founder, Technical Lead
    24X7 Content 2010 - 2012
    24x7 Content solutions helps enterprises and public institutions to search and navigate large amount of documents.• Designed semantic search platform, patented semantic topology extraction design.
  • Zvents
    Vp Engineering
    Zvents 2010 - 2010
    San Francisco, Ca, Us
    Zvents, the leading producer of entertainment guides online, helps more than 10 million monthly users find local events, and helps thousands of event advertisers increase attendance at their venues.• Reduced production issues by 40% and enhanced traffic conversion through data mining.(Company acquired by StumbleUpon as part of eBay)
  • Onmeta
    Director, Software Development
    Onmeta 2008 - 2010
    OnMeta provides interactive advertising solutions for reaching targeted audiences in digital media• Built web analytics solution, focusing on web demographics targeting.
  • Resonate
    Director Engineering
    Resonate 2001 - 2008
    Derby, Gb
    Resonate’s traffic management solutions maximize application delivery and availability.uilt web analytics solution, focusing on web demographics targeting.• Restructured product development, QA, support, and IT operations with enhanced SLA.• Drove customer retention rate to 94% through test-driven, agile development.• Directed offshore engineering groups, reducing costs by 40%.(company acquired by private investors)
  • Diligent Software Systems
    Director Engineering
    Diligent Software Systems 1999 - 2001
    Built up the engineering department from 5 to 40 engineers to develop and maintain a hosted B2B procurement SaaS on the market. Responsbile for $1M quarterly budget.(company acquired by VerticalNet)
  • Wind River
    Senior Software Engineer/Ui
    Wind River 1996 - 1999
    Alameda, Ca, Us
    Led the development of management console, pRISM for debugging and profiling embedded systems (C/C++, pSOS embedded OS, Windows SDK)
  • Praxis Engineers
    Senior Software Engineer
    Praxis Engineers 1994 - 1996
    Developed process and emission control software for power utilities. Applied linear programming and Neural Network to predict emission of pollutants (EPRI contract).=> acquired by General Electric - Energy division
  • Network Integrated Systems
    Software Engineer
    Network Integrated Systems 1988 - 1994
    Created and supported a C++ library for scientific computation: Statistics, Calculus, Numerical Analysis, Simulation and Optimization.

Patrick Nicolas Skills

Agile Methodologies Cloud Computing Big Data Software Development Software Engineering Saas Machine Learning Enterprise Software Java Start Ups Natural Language Processing Scrum Distributed Systems Web Applications Javascript Hadoop Web Analytics Executive Management Mobile Devices Databases System Architecture Mobile Applications Data Mining Text Analytics Scalability Software Design Python Search Engine Technology Test Driven Development Analytics Ruby On Rails Entrepreneurship Algorithms Rest Software As A Service C++ Strategy Open Source Information Retrieval Scala Virtualization Amazon Web Services Representational State Transfer Apache Spark Apache Kafka

Patrick Nicolas Education Details

  • Toulouse Inp
    Toulouse Inp
    Electrical Engineering

Frequently Asked Questions about Patrick Nicolas

What company does Patrick Nicolas work for?

Patrick Nicolas works for Hands-On Geometric Deep Learning

What is Patrick Nicolas's role at the current company?

Patrick Nicolas's current role is Principal ML Engineer.

What is Patrick Nicolas's email address?

Patrick Nicolas's email address is pn****@****sde.com

What is Patrick Nicolas's direct phone number?

Patrick Nicolas's direct phone number is +165081*****

What schools did Patrick Nicolas attend?

Patrick Nicolas attended Toulouse Inp.

What are some of Patrick Nicolas's interests?

Patrick Nicolas has interest in U2 (Band), Gary Johnson, Microtask, 1/2 Marathon, Cisco Systems, Abc News, Education, Ruby (Programming Language), Science And Technology, Running.

What skills is Patrick Nicolas known for?

Patrick Nicolas has skills like Agile Methodologies, Cloud Computing, Big Data, Software Development, Software Engineering, Saas, Machine Learning, Enterprise Software, Java, Start Ups, Natural Language Processing, Scrum.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.