John-Michaël To

Neogoma is the company behind the Stardust SDK which allows developers to achieve visual positioning at scale, without relying on any hardware (no wifi, beacons or GPS). Leveraging the latest computer vision and deep learning technologies, Neogoma offers a new solution to bring AR at world-scale, without losing accuracy.

Neogoma is also creating ARE4, a no-code platform designed for creating location-based & persistent augmented reality (AR) experiences aiming to make AR mainstream.

Leading the development of ARE4:
- Analyzed all competitors in the market to better define the product
- Developed & launched ARE4, a no-code platform (mobile app, dashboard, web viewer & editor) designed for creating location-based & persistent experiences within 1 year
- Improved ARE4’s official website to make it more user-friendly
- Collaborated with the marketing team to make video promotion

Technologies: WebGL, Babylon.js, Vue, Vuetify, Laravel, Unity, C#, TypeScript, PHP, iOS, Android, Web Development, Augmented Reality, GitLab

Sagemcom Broadband is one of Europe’s leading manufacturers of set top boxes and residential gateways.

Led continuous integration to deliver better quality Broadband (DOCSIS, DSL/PON, LTE) products for global clients within a cross-border international team:
- Reduced technical debt by 15% by setting up documentation as code, defining quality metrics & standards
- Improved code quality from 0.61 to 9.67/10 (pylint metrics) over 8 months
- Designed & implemented a fully automated test suite framework with its infrastructure & architecture to catch bugs before delivering to the clients as top contributor in Shenzhen (+75% of workload), second top contributor worldwide (+20% of workload)
- Created DOCSIS, DSL/PON, LTE testing environments to automatically test +30 devices in parallel spread into 5 servers
- Facilitated developments of +50 devs by creating Python libraries (serial & ecos console, data model, SNMP)
- Assisted in the reproduction of a WiFi extenders’ lab environment in Shenzhen

Proactively looking for improvements and provided solid solutions to internal teams:
- Saved +125 working hours per day for developers by setting up a Git mirror proxy for the whole R&D center
- Reduced infrastructure cost by 30% by using network switches VLANs instead of multiple Ethernet adapters
- Reduced shipping cost by 100% by reproducing power relay boards locally
- Reduced daily automated pipelines duration by 67% by spreading their execution time

Coached and mentored a dozen of software engineers on software development, DevOps, communication, cultural differences, preparation for overseas business trips

Technologies: DevOps, JIRA, GitLab, Jenkins, Python, Groovy, Grafana, Agile Methodologies (Kanban & Scrum), Network, Automation, Linux, Docker, containers, Bash, Raspberry Pi, C, Web Development (HTML/CSS/JavaScript), SVN, Git, Wireshark, Database, SQL, DOCSIS 3.0 & 3.1, Huawei & Cisco CMTS CBR8, RDK, SWAN, OpenWRT, Broadcom

EPAM is a global provider of software engineering and IT consulting services. I have been involved within 2 different accounts.

Schroders: British multinational asset management company (team of 10 people)
- Setting up a new project including control version tool, CI/CD pipeline, software design and architecture
- Acting as the main communicator between the team in Shenzhen, Singapore and the customer
- Developing and implementing a chatbot as a research project using Kore.ai platform
- Developing the API using NTLM authentication in C# ASP.NET application
- Implementing a front-end library of the chatbot in JavaScript
- Understanding needs and requirements of the customer

Technologies & tools: Microsoft Azure DevOps, Confluence, Visual Studio Code, Visual Studio, Git, C#, Python, JavaScript, Scrum, Kanban

Hongkong Land: leading property investment, management and development group (team of 7 people)
- Contributed to the development using Vue.js
- Implementing simple stories to build up JavaScript and Vue.js skills
- Fixing bugs
- Manual UI testing
- Understanding needs and requirement by communicating with QA to clarify them

Technologies & tools: JavaScript, ES6, Vue.js, Microsoft SQL Server, Visual Studio Code, Git, JIRA, Scrum

PerceptIn is a technology-based startup in the field of AI (Artificial Intelligence), committed to realize safe and reliable autonomous driving technologies with computer vision.

As Product Manager and FAE, my responsibilities are:
- Technical support to our distributors and customers
- Showing our products and solutions to customers
- Understanding the needs of our customers
- Developing global target customers
- Supporting sales and marketing teams

Technologies: Linux, Bash, Trello, G Suite

Sagemcom Broadband is one of Europe’s leading manufacturers of set top boxes and residential gateways.

I act as Software Engineer but also as Field Application Engineer in order to bring assistance to our customers worldwide such as:
- Worldwide on-site customer support to debug issues and clarify customers’ needs
- Customer support during homologation phases of our products to get the GO in mass production and/or mass deployment
- Technical intermediary between customers and development teams
- Fixing, testing cable-modems’ bugs, developing new features & internal processes automation

Supported customers: Altice USA, Magyar Telekom, Cablevisión Argentina, NET
Technologies: JIRA, Bugzilla, Scrum, Réseau, Automation, Linux, Bash, Python, Raspberry Pi, C, Web Development (HTML/CSS/JavaScript), SVN, Git, Wireshark, Tcl script

Under the partnership between IBM and PSA Peugeot Citroën (Groupe PSA), the project is about creating new services for the connected vehicle thanks to the Internet of Things and data analyses.

I worked on this project with PSA acting as software engineer for my graduation internship involving the following tasks:
- Production of PoC (Proof Of Concept) with IBM IoT solutions
- Contribution to the functional & technical design steps
- Contribution to the design & development of an IoT solution

Technologies : IBM Bluemix, IBM IoT Foundation, NodeJS, AngularJS, IBM SPSS Modeler