Tim Hopper

Tim Hopper Email and Phone Number

πŸ‘¨πŸ»β€πŸ’» Experienced MLOps engineer and Python developer @ Spotify
Regeringsgatan 19, Stockholm, Stockholm County se
Tim Hopper's Location
Raleigh, North Carolina, United States, United States
Tim Hopper's Contact Details

Tim Hopper personal email

Tim Hopper phone numbers

About Tim Hopper

Skilled machine learning engineer with experience in machine learning, big data infrastructure, and software engineering. Proven ability to lead development of next-generation data platforms and tools. Trained and mentored team in best practices for data analysis and Python development. Strong background in research and development of machine learning platforms.

Tim Hopper's Current Company Details
Spotify

Spotify

View
πŸ‘¨πŸ»β€πŸ’» Experienced MLOps engineer and Python developer
Regeringsgatan 19, Stockholm, Stockholm County se
Website:
spotify.com
Employees:
1
Tim Hopper Work Experience Details
  • Spotify
    Machine Learning Infrastructure Engineer
    Spotify Oct 2024 - Present
    Stockholm, Stockholm County, Se
    I support the audio intelligence team and productionize audio machine learning products.
  • Varo Bank
    Senior Staff Software Engineer, Machine Learning
    Varo Bank Mar 2024 - Oct 2024
    San Francisco, California, Us
  • Varo Bank
    Staff Software Engineer, Machine Learning
    Varo Bank Dec 2021 - Mar 2024
    San Francisco, California, Us
    Develop machine learning platform for fraud detection, risk mitigation, lending, and marketingLead development of batch feature store using Tecton, enabling democratized feature creation and discoveryGuide team in implementing engineering best practices.
  • Dtn
    Data Science Architect
    Dtn Aug 2020 - Dec 2021
    Bloomington, Minnesota, Us
    Built and maintained data science infrastructure with AWS and CloudFormationEnabled machine learning product development by building tools and platforms for data scientistsTrained and mentored data scientists in Python tooling and software engineering practiceStrategized and lead the development of infrastructure for big data usability and accessibility
  • Blackberry
    Senior Machine Learning Engineer
    Blackberry Nov 2017 - May 2020
    Waterloo, Ontario, Ca
    Built pipelines for large scale feature extraction from malware datasets. Lead development of data lake and feature store using serverless AWS infrastructure.Lead team in integrating best practices for Python development and software testing. Train data scientists in software engineering with Python.Drove modernization and migration of internal Python libraries from 2.7 to 3.6.Researched and developed machine learning techniques for dynamic detection of malware.
  • Distil Networks
    Data Scientist
    Distil Networks Oct 2015 - Nov 2017
    San Francisco, California, Us
    Research and development of algorithms for real-time, automated detection and blocking of malicious web bots.Built and maintained real-time, streaming classification platform using Apache Storm, streamparse, and Kafka. Developed Python-based internal tools for fast querying of data warehouse. Introduced team to best practices in Python development and data analysis.Construct hierarchical Bayesian models for analysis of internet user behavior.
  • Qadium, Inc.
    Data Scientist
    Qadium, Inc. Feb 2015 - Oct 2015
    San Francisco, California, Us
    Lead developer on the DARPA-funded Data Microscopes project. Implemented fast MCMC for the nonparametric (HDP) latent Dirichlet allocation topic model.Developed tools for C++/Cython build automation and release to Anaconda.org using a continuous integration platform. Completed complex mathematical derivations (missing from academic literature) for Gibbs sampling in HDP-LDA and published online.
  • Parsely, Inc.
    Software Engineer
    Parsely, Inc. Jan 2014 - Feb 2015
    New York, Ny, Us
    Developed algorithms for analysis and storage of high volume streaming data. Used Python, Mongo, Redis. Cassandra, ElasticSearch, AWS, Pig, Storm, Streamparse and other data technologies.
  • Rti Int
    Data Scientist
    Rti Int Oct 2012 - Jan 2014
    Research Triangle Park, Nc, Us
    Provided analytics support across many domains for one of the leading nonprofit research institution. This included machine learning, data visualization, software development, and computational support.Projects included social media analysis, development of geological modelling software, hydrogeological and pharmacokinetic modeling, and distributed computation of large scale model fitting.Developed software in Python, R, C#, and Matlab.
  • North Carolina State University
    Research Assistant
    North Carolina State University May 2012 - Oct 2012
    Raleigh, North Carolina, Us
    Researched approximate dynamic programming methods for stochastic optimization in healthcare.
  • North Carolina State University
    Teaching Assistant In Mathematics
    North Carolina State University Aug 2010 - May 2012
    Raleigh, North Carolina, Us
    Independently taught calculus to NCSU undergraduates.
  • Kiva Systems
    Intern - Algorithms Research
    Kiva Systems May 2011 - Aug 2011
    North Reading, Ma, Us
    Analyzed patterns in e-commerce warehouse data and used results to optimize performance of automated materials handeling system.
  • University Of Virginia
    Teaching Assistant In Mathematics
    University Of Virginia Aug 2009 - Jul 2010
    Charlottesville, Va, Us
    Independently taught calculus to UVA undergraduates.
  • Wears Valley Ranch
    Mentor And Tutor
    Wears Valley Ranch Jun 2008 - May 2009
    Developed valuable leadership and instructional skills through teaching and mentoring students in a home for children from crisis family situations.
  • Rochester Institute Of Technology
    Student Researcher
    Rochester Institute Of Technology 2007 - 2007
    Rochester, Ny, Us
    Participated in National Science Foundation Research Experience for Undergraduates focusing on computational methods for combinatorial graph theory. Developed C code to search for a better bound on the Ramsey Number R_4(C_4). Built custom platform for distributing computation among 50 Unix machines.

Tim Hopper Skills

Machine Learning Python R Algorithms Operations Research Mathematics Optimization Statistics Data Analysis Bbq Statistical Modeling Mathematical Modeling Data Mining Latex Stochastic Processes Monte Carlo Simulation Mathematical Programming Probability Calculus Predictive Modeling Statistical Computing Linear Regression Applied Mathematics Data Science Trivia Linear Programming Numerical Analysis Big Data Linear Algebra Sql Stochastic Modeling Python Scikit Learn Dynamic Programming Visual C#

Tim Hopper Education Details

  • North Carolina State University
    North Carolina State University
    Operations Research
  • University Of Virginia
    University Of Virginia
    Mathematics
  • Grove City College
    Grove City College
    Mathematics

Frequently Asked Questions about Tim Hopper

What company does Tim Hopper work for?

Tim Hopper works for Spotify

What is Tim Hopper's role at the current company?

Tim Hopper's current role is πŸ‘¨πŸ»β€πŸ’» Experienced MLOps engineer and Python developer.

What is Tim Hopper's email address?

Tim Hopper's email address is th****@****rti.org

What is Tim Hopper's direct phone number?

Tim Hopper's direct phone number is +143490*****

What schools did Tim Hopper attend?

Tim Hopper attended North Carolina State University, University Of Virginia, Grove City College.

What skills is Tim Hopper known for?

Tim Hopper has skills like Machine Learning, Python, R, Algorithms, Operations Research, Mathematics, Optimization, Statistics, Data Analysis, Bbq, Statistical Modeling, Mathematical Modeling.

Who are Tim Hopper's colleagues?

Tim Hopper's colleagues are Federica Luraschi, Neelam Dehariya, Roman Ragazzo, Sheyla Sousa, Cut Aulia, Michael William, Uk Music.

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.