Ben Summers, Artificial Intelligence (AI) Developer in Uppsala, Sweden
Ben Summers

Artificial Intelligence (AI) Developer in Uppsala, Sweden

Member since April 26, 2019
With a PhD in pure maths, Ben would describe himself as an academic at heart, which means he’s deeply passionate about his work. Since finishing his PhD in 2012, he’s worked professionally as a back-end and data engineer for both a large global company and a small startup. For the past four years, he's been obsessed with machine learning, especially neural networks, and enjoys applying these techniques to solve real-world problems.
Ben is now available for hire

Portfolio

  • Instabridge
    EMR, BigQuery, Spark, PyTorch, Pandas, Scikit-learn, TensorFlow, Keras, Dataflow
  • Instabridge
    Ruby on Rails, Heroku, AWS, GCP, RabbitMQ, MongoDB, Spark
  • Cadence Design Systems
    PHP, MySQL, Perforce, Oracle, Linux, Microsoft Office

Experience

  • Linux, 17 years
  • Python, 16 years
  • Artificial Intelligence (AI), 5 years
  • Natural Language Processing (NLP), 4 years
  • Neural Networks, 4 years
  • Convolutional Neural Networks, 2 years
  • Fast.ai, 1 year

Location

Uppsala, Sweden

Availability

Part-time

Preferred Environment

JupyterLab, PyCharm, Git, Linux

The most amazing...

...project I've worked on is my PhD thesis because it was the first time I was really challenged. Writing did not come naturally at all. I always want to explore.

Employment

  • Data Scientist

    2018 - 2019
    Instabridge
    • Migrated data system from AWS to Google Cloud.
    • Developed models to identify moving WiFi hotspots, e.g., those hotspots on trains or mobile devices.
    • Built models to estimate locations of WiFi hotspots from scans and connections by Android devices.
    • Wrote and deployed data models in/with dbt (data build tools).
    • Produced various ad-hoc analyses for stakeholders.
    • Deployed Snowplow event pipelines on the Google Cloud Platform (GCP) with Cloud Pub/Sub, Dataflow, BigQuery, and Google Compute Engine.
    Technologies: EMR, BigQuery, Spark, PyTorch, Pandas, Scikit-learn, TensorFlow, Keras, Dataflow
  • Back-end Developer

    2015 - 2018
    Instabridge
    • Designed and implemented the back-end architecture utilising Heroku, AWS and GCP.
    • Implemented data pipelines in Spark running on EMR scheduled with Airflow.
    • Applied machine learning to solve core data problems such as estimating locations of WiFi hotspots, quality of hotspots, classifying hotspots as moving or stationary, public or private, matching hotspots and venues.
    • Implemented near real-time data pipelines using AWS Kinesis, lambda functions and DynamoDB.
    Technologies: Ruby on Rails, Heroku, AWS, GCP, RabbitMQ, MongoDB, Spark
  • Solutions Engineer

    2013 - 2014
    Cadence Design Systems
    • Developed internal productivity/process web applications for one of the two leading electronic design automation companies.
    • Improved my ability to work effectively in teams.
    • Developed communication skills.
    • Continuously evaluated and ranked priorities based on business value.
    Technologies: PHP, MySQL, Perforce, Oracle, Linux, Microsoft Office
  • Associate Tutor

    2008 - 2012
    University of East Anglia
    • Communicated successfully difficult concepts to a range of students.
    • Marked coursework.
    Technologies: Pen and Paper, Blackboard

Experience

  • Web-based Server Monitor and Admin Tools for Medal of Honor (Other amazing things)

    This was written in PHP and has lots of socket programming, sessions, and user authentication. The client tool was built using C# and .NET.

Skills

  • Languages

    Python, SQL, Python 3, JavaScript, Haskell, Scala
  • Libraries/APIs

    LSTM, PyTorch, TensorFlow, Fast.ai, Spark ML, FFmpeg, Keras, PySpark, Sklearn, Pandas, NumPy, OpenCV
  • Tools

    BigQuery, Amazon Elastic MapReduce (EMR), Spark SQL, Apache Airflow, RabbitMQ, Google Compute Engine (GCE)
  • Platforms

    Linux, Heroku, Arduino, Anaconda
  • Other

    Convolutional Neural Networks, Linear Algebra, Google BigQuery, Neural Networks, Deep Learning, Artificial Intelligence (AI), Machine Learning, Deep Neural Networks, Natural Language Processing (NLP), Probability Theory, Stream Processing, IP Networks, Image Recognition, Statistics, Deep Reinforcement Learning, Data Engineering, Generative Adversarial Networks (GANs), Computer Vision, Audio, Audio Processing, Digital Signal Processing
  • Frameworks

    Spark, Flask, Django, Ruby on Rails (RoR)
  • Paradigms

    Functional Programming, Object-oriented Programming (OOP), ETL, Data Science, Agile
  • Storage

    PostgreSQL, MySQL, MongoDB

Education

  • B2 CEFR in Greek Language and Culture
    2014 - 2015
    University of Ioannina - Ioannina, Greece
  • PhD degree in Mathematics
    2008 - 2012
    University of East Anglia - Norwich, UK
  • Master's degree in Mathematics
    2004 - 2008
    University of East Anglia - Norwich, UK

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