Patrick Nicolas
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Patrick Nicolas Email & Phone Number

Principal ML Engineer at Hands-on Geometric Deep Learning
Location: Los Altos, California, United States 13 work roles 1 school
1 work email found @agilesde.com 4 phones found area 650, 415, and 321 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 4 phones

Work email p****@agilesde.com
Direct phone (650) ***-****
LinkedIn Profile matched
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Role
Principal ML Engineer
Location
Los Altos, California, United States

Who is Patrick Nicolas? Overview

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Quick answer

Patrick Nicolas is listed as Principal ML Engineer at Hands-on Geometric Deep Learning, based in Los Altos, California, United States. AeroLeads shows a work email signal at agilesde.com, phone signal with area code 650, 415, 321, and a matched LinkedIn profile for Patrick Nicolas.

Patrick Nicolas previously worked as Director Data Engineering at Aidéo Technologies and Data engineer - Ad relevancy at Chartboost. Patrick Nicolas holds Master, Electrical Engineering from Toulouse Inp.

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Email format at Hands-on Geometric Deep Learning

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{first_initial}{last}@agilesde.com
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Profile bio

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

Listed skills include Agile Methodologies, Cloud Computing, Big Data, Software Development, and 41 others.

Current workplace

Patrick Nicolas's current company

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Hands-on Geometric Deep Learning
Hands-On Geometric Deep Learning
Principal ML Engineer
Los Altos, CA, US
AeroLeads page
13 roles · 38 years

Patrick Nicolas work experience

A career timeline built from the work history available for this profile.

Principal Ml Engineer

Hands-On Geometric Deep Learning

Los Altos, CA, US

Director Data Engineering

Current

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.
  • 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.
May 2017 - Present

Data Engineer - Ad Relevancy

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
Dec 2015 - Apr 2017

Data Architect

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.
Nov 2013 - Nov 2015

Vp Engineering

Cloudweaver
  • 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)
2012 - 2013 ~1 yr

Founder, Technical Lead

24X7 Content
  • 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.
2010 - 2012 ~2 yrs

Vp Engineering

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)
2010 - 2010

Director, Software Development

Onmeta
  • OnMeta provides interactive advertising solutions for reaching targeted audiences in digital media
  • Built web analytics solution, focusing on web demographics targeting.
2008 - 2010 ~2 yrs

Director Engineering

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)
2001 - 2008 ~7 yrs

Director Engineering

Diligent Software Systems

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)

1999 - 2001 ~2 yrs

Senior Software Engineer/Ui

Alameda, CA, US

Led the development of management console, pRISM for debugging and profiling embedded systems (C/C++, pSOS embedded OS, Windows SDK)

1996 - 1999 ~3 yrs

Senior Software Engineer

Praxis Engineers

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

1994 - 1996 ~2 yrs

Software Engineer

Network Integrated Systems

Created and supported a C++ library for scientific computation: Statistics, Calculus, Numerical Analysis, Simulation and Optimization.

1988 - 1994 ~6 yrs
1 education record

Patrick Nicolas education

  • Toulouse Inp
    Toulouse Inp
    Electrical Engineering
FAQ

Frequently asked questions about Patrick Nicolas

Quick answers generated from the profile data available on this page.

What company does Patrick Nicolas work for?

Patrick Nicolas works for Hands-on Geometric Deep Learning.

What is Patrick Nicolas's role at Hands-on Geometric Deep Learning?

Patrick Nicolas is listed as Principal ML Engineer at Hands-on Geometric Deep Learning.

What is Patrick Nicolas's email address?

AeroLeads has found 1 work email signal at @agilesde.com for Patrick Nicolas at Hands-on Geometric Deep Learning.

What is Patrick Nicolas's phone number?

AeroLeads has found 4 phone signal(s) with area code 650, 415, 321 for Patrick Nicolas at Hands-on Geometric Deep Learning.

Where is Patrick Nicolas based?

Patrick Nicolas is based in Los Altos, California, United States while working with Hands-on Geometric Deep Learning.

What companies has Patrick Nicolas worked for?

Patrick Nicolas has worked for Hands-On Geometric Deep Learning, Aidéo Technologies, Chartboost, Dell, and Cloudweaver.

How can I contact Patrick Nicolas?

You can use AeroLeads to view verified contact signals for Patrick Nicolas at Hands-on Geometric Deep Learning, including work email, phone, and LinkedIn data when available.

What schools did Patrick Nicolas attend?

Patrick Nicolas holds Master, Electrical Engineering from Toulouse Inp.

What skills is Patrick Nicolas known for?

Patrick Nicolas is listed with skills including Agile Methodologies, Cloud Computing, Big Data, Software Development, Software Engineering, Saas, Machine Learning, and Enterprise Software.

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