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Asmund Bekker

Asmund Bekker

Software engineer

Talent
London AreaMember since June 5, 2026
Software engineerAWS Data pipelinesVoice AI mobile applicationEvent driven automated trading pipelineReactDjangoDjango Rest FrameworkPython 3LambdaDynamoDBAPI GatewayGitLabMariaDBPython3PostgresCI/CDpybuilderGoCDpysparkpandasAirflowpytestTDDGit flowterraformECSDockerDatabricksSparkgit
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Software engineerAWS Data pipelinesVoice AI mobile applicationEvent driven automated trading pipelineReact

About

AWS Data pipelines Voice AI mobile application Event driven automated trading pipeline

Experience

Personal agentic projects

(2026-06)

  • AWS Data pipelines
  • Voice AI mobile application
  • Event driven automated trading pipeline

Senior Python Engineer - Department of Business and Trade (contract)

(2023-09 - 2026-06)

  • React, Django, Django Rest Framework

Senior Python AWS Engineer - Eseye (contract)

(2020-08 - 2022-11)

  • Migrating application from proprietary systems to AWS
  • Serverless architecture: Python 3, Lambda, DynamoDB, API Gateway, GitLab, MariaDB
  • Designed a config-driven Python API framework for chaining pipelines of different AWS services for fast API and AWS service integration.

Senior Software Engineer - Kainos (contract)

(2019-09 - 2020-07)

  • Python3/Django/Postgres web development for the Department of International Trade
  • Training and developing Junior level Kainos developers in Python and Django best practices

Data Engineer - Beamly (contract)

(2018-05 - 2019-09)

  • Python3, CI/CD pybuilder and GoCD pipelines, pyspark, pandas, Airflow, pytest, TDD, Git flow.
  • Training junior engineers in Python and AWS to inherit the project
  • Full life-cycle development of an ETL pipeline built on Qubole using Airflow, Python3 and Spark
  • Oversee a platform migration from Qubole to AWS; Qubole had limitations in scaling Airflow.
  • Deployment of full Airflow infrastructure on AWS - terraform, ECS, Docker, Airflow, Python3, Databricks, Spark, gocd pipelines, continuous deployment, git.

Software Engineer - Undisclosed AI Hedge Fund, UK - UK

(2018-01 - 2018-05)

  • Python, Pandas, Django, AWS
  • First project was to allow data scientists to run their experiments in AWS. Previously, they were constrained to running everything locally which was a major experimentation bottleneck
  • Second project is building out a centralised viewing platform for all experiment results.

Software Engineer - Yoyo Wallet - London, UK

(2016-07 - 2018-01)

  • Continuous, fast-paced development on a microservices system
  • Python, Docker, PostgreSQL, RabbitMQ, AWS, Django, Jupyter, Pandas, ECS
  • Lead engineer in a Core Payments team responsible for maintaining and improving the payment backend service
  • Developing a synchronous / asynchronous payments service run by a risk engine defined by rules or machine learning algorithms trained on transaction data
  • Part of the hiring team. Reviewing code challenges and making hiring decisions

Co-founder - full stack - sole developer - did not proceed to launch - Personal Project (Cibo)

(2015-10 - 2016-06)

  • Built a functional app for ‘home’ chefs to post their homemade meals to be collected. Users would see nearby chefs on a map and could request to buy and collect.
  • iOS Swift development. Google Maps, Alamofire, Socketio and various others for UI.
  • Played with backend technologies like Google Firebase and Parse but opted to build a backend on django and nodejs socketio for real-time processing.

Speech Data Engineer - Google UK Ltd - London, UK

(2014-06 - 2015-06)

  • C++, Python & Thrax FST algorithm development in Linux environment
  • Natural language processing
  • Development for a production environment
  • Text-to-speech quality evaluation and testing
  • Extensive unit testing
  • Google code reviews.
  • Large-scale software project.

Software Developer Intern - Electromagnetic Geo-Services - Trondheim, Norway

(2013-06 - 2013-09)

  • Independent project to develop an API using PyQt library. The final delivery is used by offshore engineers to generate large seabed-logging exploration reports and will save several weeks of manual report making. The reports are one of the company’s customer deliverables.
  • Working full-time with the PyQt Library.
  • Experience in writing scripts with Python and XML.
  • Taking responsibility for a first professional assignment
  • Understanding the importance of communicating with the target user to develop a successful application.

Education

MASTERS IN ADVANCED COMPUTING - Machine Learning, Data Mining and High Performance Computing - University of Bristol (2013-09 - 2014-09)

BACHELOR DEGREE IN COMPUTER SCIENCE - Computer Science - Anglia Ruskin University (2010-09 - 2013-06)

Skills

Software engineer

Reviews

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