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Richard Mah, Phd Email & Phone Number

Member of Technical Staff at Unconventional AI
Location: San Francisco Bay Area, United States, United States 15 work roles 2 schools
1 work email found @mcmaster.ca 1 phone found area 905 LinkedIn matched
4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email m****@mcmaster.ca
Direct phone (905) ***-****
LinkedIn Profile matched
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Current company
Role
Member of Technical Staff
Location
San Francisco Bay Area, United States, United States

Who is Richard Mah, Phd? Overview

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Quick answer

Richard Mah, Phd is listed as Member of Technical Staff at Unconventional AI, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at mcmaster.ca, phone signal with area code 905, and a matched LinkedIn profile for Richard Mah, Phd.

Richard Mah, Phd previously worked as Staff DevOps Engineer at Databricks and DevOps/MLOps Engineer at Mosaicml. Richard Mah, Phd holds Doctor Of Philosophy (Ph.D.), Cognitive Science from Mcmaster University.

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Email format at Unconventional AI

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*@mcmaster.ca
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Profile bio

About Richard Mah, Phd

Experienced DevOps engineer with experience in architecting and maintaining AWS, GCP, and Azure deployments using Terraform and Terragrunt both on VMs and in Kubernetes. Additionally, has a strong data science and analytics background, with a Doctor of Philosophy (Ph.D.) focused in Cognitive Neuroscience from McMaster University.

Listed skills include Research, Public Relations, Analysis, Management, and 17 others.

Current workplace

Richard Mah, Phd's current company

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Unconventional AI
Unconventional Ai
Member of Technical Staff
California, United States
Website
AeroLeads page
15 roles

Richard Mah, Phd work experience

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

Staff Devops Engineer

San Francisco, CA, US

Devops/Mlops Engineer

San Francisco, California, US

Devops & Data Analytics Engineer

  • Developed and maintained microservices in two regional Kubernetes clusters for an upgraded blockchain tracker and associated APIs for the ICON Foundation
  • Maintained regional Kubernetes clusters hosting microservices; deployed with ArgoCD, ingress with Ambassador Edge Stack, and service mesh with Consul and Envoy
  • Productionized an arbitration bot to execute trades on the Balanced Dex
Feb 2021 - Mar 2022

Devops & Data Analytics Engineer

San Francisco, CA, US

  • Created a Python ETL package for transaction & token analytics for the ICON blockchain to be deployed on Airflow
  • Developed and maintained blockchain data microservices running on Kubernetes, powered by Apache Kafka, PostgreSQL, MongoDB, and FastAPI in partnership with the ICON Foundation
Nov 2020 - Jan 2021

Devops Engineer

San Francisco, CA, US

  • Created Terraform modules to deploy infrastructure on AWS, GCP, Azure, and DigitalOcean as both native instances and as Kubernetes clusters for load balanced API endpoints for the Polkadot and Substrate blockchains
  • Wrote Terratest automated tests for modules to be used in CircleCI pipelines
  • Built a benchmarking suite to optimize blockchain syncing in sentry nodes deployed in autoscaling groups
  • Integrated Terraform modules into a Terragrunt deployment framework to support quick and easy deployments of the load balanced endpoints
Mar 2020 - Nov 2020

Fellow

San Francisco, CA, US

  • Implemented a Prometheus/AlertManager-based monitoring platform for a blockchain validation platform
  • Leveraged Terraform and Terragrunt to create reproducable deployments of fully configured EC2 instances with supporting networking and permissions infrastructure
  • Created and tested alerts used for monitoring and automatic instance redeployment using AlertManager and AWS Lambda
  • Used Consul for service discovery between managed AWS EKS and unmanaged EC2 instances
Sep 2019 - Feb 2020

Research Assistant

Mcmaster English Language Development, Mcmaster University
  • Collected eye movement and standardized language testing data for ESL bridging program quality assessment of over 300 students
  • Cleaned and prepared data for further analysis using Eyelink Data Viewer, R, and Python
  • Performed analyses of data using linear mixed effects regression and ensemble learning techniques such as Random Forests in R and Python
  • Developed curriculum modifications for English-language which are currently being implemented to improve student outcome scores and undergraduate program retention
Sep 2018 - Apr 2019

Researcher - Univeristies Sector

Cupe Ontario
  • Prepared model contract language for use in provincial sector-wide bargaining
  • Prepared and facilitated a series of travelling workshops on topics including current campaigns and bargaining support, public sector bargaining in Ontario, and current political affairs
  • Delivered invited talks on university budget analysis, Strategic Mandate Agreements within Ontario, and the current state of Ontario politics
  • Development of a toolkit to help member locals navigate the university governance structures, with the aim of introducing model language around procurement policies
  • Provided general research support for the sector committee
Sep 2018 - Jan 2019

Secretary-Treasurer

Cupe Local 3906
  • Planned and oversaw three years of $1.5M CAD annual budgets
  • Recruited and hiring of temporary local staff
  • Provided daily management of staff in a collectively bargained work environment, including compliance with and bargaining of staff collective agreement
  • Maintained financial regulatory compliance and provided accounting services using QuickBooks
Sep 2015 - Sep 2018

Research Assistant

Language, Memory & Brain Laboratory, Mcmaster University
  • Managed desktop and high performance computing infrastructure using MS Active Directory for centralized deployments, and implemented reproducible data processing pipelines using Docker
  • Provided primary laboratory management and maintenance; trained and supervised undergraduate and graduate students, and led research teams for NIH and NSERC funded grants
  • Collected and cleaned data from >100 subjects to develop a normative sample of brain responses to 7 stimulation methods to assess a patient's state of consciousness, which will be integrated into the VoxNeuro clinical.
  • Performed analyses using ANOVA, linear mixed effects regression, generalized additive models, and ensemble algorithms in R and Python, resulting in the publication of 2 papers with 4 additional papers forthcoming
Jan 2013 - Sep 2018

Teaching Assistant

Hamilton, Ontario, CA

  • Planned and led multiple sections of labs and tutorials for courses such as Introductory Linguistics, Phonetics, and Statistics
  • Coordinated and graded examinations for courses of 300+ students
  • Lectured on topics such as digital sampling theory, use and interpretation of ANOVA, and EEG for language research
Sep 2011 - Feb 2018

Undergraduate Honours Research Student

Erpling Laboratory, University Of Ottawa

Psycho- and neurolinguistics research into the perception of speech using event related potentials (ERPs).Use of software such as BESA, Presentation, PsyScope and SPSS for experimental data gathering and analysis.

Aug 2009 - May 2010

Assistant Laboratory Technician (Chemistry)

Ottawa, On, CA

  • Maintaining lab supplies and chemical stores
  • Preparing solutions and samples for teaching labs
  • Managing and running storefront for selling supplies
Jan 2010 - Apr 2010
2 education records

Richard Mah, Phd education

Doctor Of Philosophy (Ph.D.), Cognitive Science

Mcmaster University

B.Sc. Hons., Biomedical Sciences, Linguistics

University Of Ottawa
FAQ

Frequently asked questions about Richard Mah, Phd

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

What company does Richard Mah, Phd work for?

Richard Mah, Phd works for Unconventional AI.

What is Richard Mah, Phd's role at Unconventional AI?

Richard Mah, Phd is listed as Member of Technical Staff at Unconventional AI.

What is Richard Mah, Phd's email address?

AeroLeads has found 1 work email signal at @mcmaster.ca for Richard Mah, Phd at Unconventional AI.

What is Richard Mah, Phd's phone number?

AeroLeads has found 1 phone signal(s) with area code 905 for Richard Mah, Phd at Unconventional AI.

Where is Richard Mah, Phd based?

Richard Mah, Phd is based in San Francisco Bay Area, United States, United States while working with Unconventional AI.

What companies has Richard Mah, Phd worked for?

Richard Mah, Phd has worked for Unconventional Ai, Databricks, Mosaicml, Geometry Labs, and Insight Data Science.

How can I contact Richard Mah, Phd?

You can use AeroLeads to view verified contact signals for Richard Mah, Phd at Unconventional AI, including work email, phone, and LinkedIn data when available.

What schools did Richard Mah, Phd attend?

Richard Mah, Phd holds Doctor Of Philosophy (Ph.D.), Cognitive Science from Mcmaster University.

What skills is Richard Mah, Phd known for?

Richard Mah, Phd is listed with skills including Research, Public Relations, Analysis, Management, Teaching, Data Analysis, Web Design, and Statistics.

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