Kim-Adeline Miguel

Senior Software Engineer

France6 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led development of GitHub Copilot Chat.
Presented at GitHub Universe 2024.
Contributed to Python extension for VS Code.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in AI and web development.

Contact

Skills

Core Skills

TypescriptGenerative AiPythonJavascriptReactObjective-c

Other Skills

A/B testingGoOpen-sourceReact NativeElectronjQueryBackboneDjangoC++CUDASoftware EngineeringSoftware DevelopmentReact.js

About

Experienced problem-solver, bug-and-features-maker and mistakes-learner. I love plants and short descriptions. Have a good day! 🌼

Experience

6 yrs 2 mos

Total Experience

1 yr 6 mos

Average Tenure

Current Experience

Github

Senior Software Engineer

Jun 2022 – Nov 2025 · 3 yrs 5 mos · France · Remote

Worked with and on GitHub Copilot: https://github.com/features/copilot
📈 Joined the team when Copilot had just become generally available, to 20 million users today: https://www.linkedin.com/posts/ashtom_github-copilot-has-crossed-20-million-users-activity-7356439413066743809-Ltep/
🧪 Brought a blend of science and engineering skills to the party:
Shipped the first version of Copilot Chat in VS Code: https://github.blog/news-insights/product-news/github-copilot-x-the-ai-powered-developer-experience/#a-new-ai-powered-developer-experience-%f0%9f%a7%91%f0%9f%92%bb
Shipped project context in Copilot Chat for JetBrains using @project, and presented it at GitHub Universe 2024!
Improved the quality and responsiveness of code suggestions for millions of users by leading the implementation of new features, running A/B experiments and analyzing the resulting data
🔑 Keywords: TypeScript, Generative AI, RAG, A/B testing and 🤏 a tiny bit of Python and Go

TypeScriptGenerative AIA/B testingPythonGo

Microsoft

Software Engineer 2

Jun 2019 – Jun 2022 · 3 yrs · Vancouver, British Columbia, Canada

🐍 Worked on the Python extension for VS Code: https://github.com/microsoft/vscode-python
📣 I gave talks from time to time:
PyCon 2020: Decoding bias and narrative in competitive video games broadcasts with video analysis - https://pycon-archive.python.org/2020/schedule/presentation/107/
Microsoft Reactor: Mapping your career journey - https://www.youtube.com/watch?v=I26wWrXlM_I
🎙 I also co-hosted the Sad Python Girls Club podcast: https://anchor.fm/sad-python-girls-club
📝 I was part of the review committee for the open-source track of the 2020 edition of the Grace Hopper Celebration.
🔑 Keywords: TypeScript, open-source, bread, Python

PythonTypeScriptOpen-source

Finger food studios

Software Developer

Sep 2016 – May 2019 · 2 yrs 8 mos · Vancouver, British Columbia, Canada

✍ Wrote:
code, mostly front-end
documentation and bug descriptions 🐛
feedback: code reviews, UI/UX mockups
🚒 Broke:
code
CI pipelines
the paper shredder (once)
👩‍💻 Some of the projects I worked on:
Sphero Edu
PBC
Kuri
🎨 Technologies: JavaScript, React, TypeScript, React Native, Objective-C, Electron

JavaScriptReactTypeScriptReact NativeObjective-CElectron

Xtel aps

Software Engineer

Nov 2013 – Jul 2016 · 2 yrs 8 mos · Aalborg, North Jutland, Denmark

Involved all stages of product development as part of Xtel's front-end team, with a focus on web and iOS projects. I also tinkered with back-end development and data processing.
🌍 Web: Requirement analysis, prototyping and development of energy monitoring interfaces (jQuery, Backbone).
📱 iOS: Principal developer of the Docospot iOS app. Docospot (http://docospot.dk) is a documentation and quality control system consisting of a mobile app on one end, a PC interface on the other end, automated synchronisation between them and secure cloud storage (Objective-C).
🖨 Back-end: Prototyping of Docospot's customer management interface, and implementation of automated report generation using server-stored data (Python, Django, ReportLab).

jQueryBackboneObjective-CPythonDjango

Thales

Software Engineer Intern - End of studies internship

Feb 2013 – Aug 2013 · 6 mos · Singapore

Particle Video Algorithms for Crowd Tracking and Analysis
Worked on crowd density estimation through CCTV images and machine learning in order to detect and track crowd flow
Performed crowd segmentation using a clustering algorithm
Implemented a crowd density estimation system using Support Vector Regression
Ported the crowd density estimation system from Python to GPU programming using C++/Cuda

PythonC++CUDA

Cea

Software Developer Intern

Sep 2011 – Feb 2012 · 5 mos · Bruyères-le-Châtel, Île-de-France, France

Worked on a stereoscopic display software for large dimensions images on a video wall made of video-projectors, each wired up to a CPU+GPU pair
Improved communication between Qt4 GUI and displaying software by replacing UNIX pipes with a TCP client/server architecture
Added a GUI to manage automated playing scripts situated on the displaying side
Implemented the generation of optimized image sequences in emulation mode