Adam Smith

Adam Smith  new_releases

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Leicester, England, United Kingdom
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Résumé

Jobs verified_user 14% verified
  • Orderly
    Chief Information Officer
    Orderly
    Mar 2022 - Current (4 years 3 months)
  • Orderly
    Chief Technology officer verified_user Verified experience
    Orderly
    Nov 2021 - Current (4 years 7 months)
  • Orderly
    Chief Technology Officer
    Orderly
    Nov 2021 - Mar 2022 (5 months)
  • A
    Chief Technology Officer
    AJ Stack Solutions Pty Ltd
    Apr 2021 - Current (5 years 2 months)
  • S
    Chief Technology Officer
    STaC Solutions
    Apr 2021 - Current (5 years 2 months)
  • Orderly
    Head of Engineering verified_user Verified experience
    Orderly
    Nov 2020 - Oct 2021 (1 year)
  • S
    Managing Director
    STaC Solutions
    Apr 2018 - Apr 2021 (3 years 1 month)
    Providing contract and consultancy services in the technology sector, specialising in Azure cloud cost reduction, digital transformation and software team streamlining. Our consultancy services are usually provided alongside the rapid delivery of software utilising the latest technologies. These include .Net Core, ReactJS and the Azure stack.
  • S
    Software Development Manager
    Sytner Group
    Aug 2016 - Aug 2018 (2 years 1 month)
    Responsible for the rebuilding and modernisation of the entire software development operation while providing technical direction and writing coding. The software development team continues to support and enhance over 63 websites, 65 services, and over 150 databases. While also expanding the number of software offerings available to the business, and increasing the value they deliver.
  • S
    Senior Software Developer
    Sytner Group
    Nov 2015 - Aug 2016 (10 months)
    - Supporting and enhancing over 63 websites, 65 services, and over 150 databases. While also expanding the number of software offerings available to the business.
  • Next Retail Ltd
    Senior Developer (Product Systems)
    Next Retail Ltd
    Mar 2014 - Oct 2015 (1 year 8 months)
    - The Next Product Systems Team is responsible for all software required by the buyers, merchandisers, and designers to produce garments. This includes legacy VB6 applications, databases, nightly batches alongside C# applications and websites.
  • M
    Software Engineer
    Magnetic North
    Sep 2012 - Mar 2014 (1 year 7 months)
    - Rewriting large portions of Maximise and Optimise from C# and VB.Net Web Forms to take advantage of ASP.NET MVC. - Working on PoC and MVP products including SPAs and dashboards. Alongside monitoring and conducting penetration testing against the software.
  • C
    Software Engineer
    Central Systems & Automation LtdCentral
    Aug 2010 - Aug 2012 (2 years 1 month)
    - Heavily involved in the creation of their version 6 product. This was a faithful recreation and extension of the version 5 software from VB6 to WPF with a WCF backend. - In addition, all of the SQL was rewritten as to be convertible to T-SQL and Oracle optimised versions. Alongside out-of-hour support for all warehouses.
  • C
    Software Engineer
    Central Systems & Automation LtdCentral
    Aug 2010 - Aug 2012 (2 years 1 month)
    Heavily involved in the creation of their version 6 product. This was a faithful recreation and extension of the version 5 software from VB6 to WPF with a WCF backend. In addition, all of the SQL was rewritten as to be convertible to T-SQL and Oracle optimised versions. Alongside out-of-hour support for all warehouses.
  • C
    Software Engineer
    Central Systems & Automation LtdCentral
    Aug 2010 - Aug 2012 (2 years 1 month)
    Heavily involved in the creation of their version 6 product. This was a faithful recreation and extension of the version 5 software from VB6 to WPF with a WCF backend. In addition, all of the SQL was rewritten as to be convertible to T-SQL and Oracle optimised versions. Alongside out-of-hour support for all warehouses.
  • E
    1st Line Support (Placement)
    EIBS Ltd
    Sep 2008 - Aug 2009 (1 year)
    University Placement year: Providing first line support by phone and email. Issue logging and recreation. Product testing.
Education verified_user 0% verified
  • Udacity
    Nanodegree, Data Engineering
    Udacity
    Feb 2019 - Nov 2019 (10 months)
    - Data Modelling - PostgreSQL vs Apache Cassandra Cloud Data Warehouses - AWS, S3 and Redshift • Data Lakes - AWS, S3 and Apache Spark • Data Pipelines - AWS and Apache Airflow - Capstone project - A project demonstrating the culmination of skills learnt. Requiring data exploration, cleansing, staging, structuring, quality checks and querying to answer a student defined question.
  • Udacity
    Nanodegree, Data Engineering
    Udacity
    Jan 2019 - Dec 2019 (1 year)
    Project-based learning around the field of Data Engineering: • Data Modelling - PostgreSQL vs Apache Cassandra • Cloud Data Warehouses - AWS, S3 and Redshift • Data Lakes - AWS, S3 and Apache Spark • Data Pipelines - AWS and Apache Airflow • Capstone project - A project demonstrating the culmination of skills learnt. Requiring data exploration, cleansing, staging, structuring, quality checks and querying to answer a student defined question. Certificate https://graduation.udacity.com/confirm/9HFFPHRJ
  • Udacity
    NanoDegree (Term 1)- Computer Vision and Deep Learning, Self-Driving Car Engineer.
    Udacity
    Feb 2016 - Feb 2017 (1 year 1 month)
    A project based course with an emphasis on applying the following techniques to the realm of the self-driving car: • Computer vision for lane detection • Deep learning for traffic sign classification • Deep learning for behavioural cloning of steering from a simulator • Computer vision and Deep Learning for vehicle and lane identification.
  • Udacity
    NanoDegree (Term 1) - Computer Vision and Deep Learning, Self-Driving Car Engineer
    Udacity
    Jan 2016 - Dec 2017 (2 years)
    A project based course with an emphasis on applying the following techniques to the realm of the self-driving car: • Computer vision for lane detection • Deep learning for traffic sign classification • Deep learning for behavioural cloning of steering from a simulator • Computer vision and Deep Learning for vehicle and lane identification. https://www.udacity.com/drive
  • The University Of Leicester
    Master's Degree, Distance Learning- Web Applications and Services
    The University Of Leicester
    Feb 2014 - Aug 2016 (2 years 7 months)
    Modules Undertaken 1st Semester: • Semantic Web - Distinction - [78%] • Generative Development - Distinction - [81%] • Service Oriented Architectures - Distinction - [86%] Modules Undertaken 2nd Semester: • System Re-engineering - [70%] • Software Measurement and Quality Assurance - [67%] • Advanced Web Technology - [79%] Dissertation - Streamlining the Energy Footprint of a Home with the Aid of Ubiquitous Computing - Industry Support from EDF Energy.
  • University of Leicester
    Master's Degree, Distance Learning - Web Applications and Services
    University of Leicester
    Jan 2014 - Dec 2016 (3 years)
    Modules Undertaken 1st Semester: • Semantic Web - Distinction - [78%] • Generative Development - Distinction - [81%] • Service Oriented Architectures - Distinction - [86%] Modules Undertaken 2nd Semester: • System Re-engineering - [70%] • Software Measurement and Quality Assurance - [67%] • Advanced Web Technology - [79%] Dissertation - Streamlining the Energy Footprint of a Home with the Aid of Ubiquitous Computing - Industry Support from EDF Energy.
  • Nottingham Trent University
    Bachelor's Degree, Computer Science with Games Tech
    Nottingham Trent University
    Feb 2006 - Feb 2010 (4 years 1 month)
  • Nottingham Trent University
    Bachelor's Degree, Computer science with Games Tech
    Nottingham Trent University
    Jan 2006 - Dec 2010 (5 years)
Projects (professional or personal) verified_user 0% verified
  • S
    Streamlining the Energy Footprint of a Home with the Aid of Ubiquitous Computing - Industry Support from EDF Energy
    Jan 2015 - Sep 2015 (9 months)
    The purpose of this project is to identify ways in which smart technology can be used to improve energy efficiency in the home. The devices that are primarily used are smartphones, these are used to collect data. Information is collected about the device, user and environment. This is combined and additional data sources are added to provide feedback to the user about light, temperature and energy usage in their home. Active feedback is given for light and temperature readings, while passive feedback is given for energy usage. The results show that without additional hardware both light and energy usage feedback can be provided with some accuracy. Temperature feedback requires an onsite temperature logging system, but the software was still
Awards verified_user 0% verified
  • M
    Employee of the Quarter
    Magnetic North
    Jul 2013