Skip to content
View daniel-falk's full-sized avatar
21 followers · 1 following

Achievements

Achievement: Galaxy Brainx3Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Sharkx3Achievement: YOLOAchievement: Arctic Code Vault Contributor
BetaSend feedback

Achievements

Achievement: Galaxy Brainx3Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Sharkx3Achievement: YOLOAchievement: Arctic Code Vault Contributor
BetaSend feedback
Block or Report

Block or report daniel-falk

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
daniel-falk/README.md

AI, EdgeAI, Computer Vision, Machine Learning, Axis ACAP and video analytics

What I do

I'm the lead consultant and founder of FixedIT.ai where we help companies create cutting edge video analytics for edge devices. We offer developer tools, platforms, advice and consultation to ACAP developers. Our core focus is edge applications for the Axis Communications network cameras. I'm a specialist in Computer Vision, Machine Learning and edge computing with many years of experience of both the deep learning field and the embedded field. I focus on the engineering aspects needed to maximize the bottom line profit for companies.

I share a lot of my knowledge about ACAP development in our e-learning portal (you can sign-up for free): https://learning.fixedit.ai

How I do it

  • I design and implement advanced algorithms and helps teams deliver more valuable code and better algorithms by knowledge sharing and strategic leadership.
  • I use C, C++ and Python and have my expertise in the Linux and embedded Linux environment. I use my experience to build more robust and more efficient code that is easier to read and understand.
  • I improve tooling, agility and robustness by applying engineering best practices to MLOps, training code and data management.
  • I increase product performance by benchmarking, optimizing implementations and writing extensions for python code.
  • I increase accuracy by designing evaluation platforms, profiling code and redesigning algorithms.
  • I enable strategic planning by implementing dashboards, tracking KPIs and integrating data lineage, experiment tracking and automating live feed-back loops.

What I've done

Before getting into consulting I worked both as a senior developer and as a technical lead at Axis Communications in the video analytics teams. I've got experience from both product development and maintenance as well as software and ML research. I have worked at tiny start-ups with a few developers and at international fortune 500 giants. I have been mentoring new employees, I've been supervisor for master's thesis students, teacher for machine learning classes and have done public speaking and knowledge sharing to teach and inspire people to become the best engineers.

Some well known MLOps projects I have contributed to:

Some other projects I have contributed to or participated in discussions in:

Get in touch with me

Pinned

  1. python-app-on-axis-camera python-app-on-axis-camera Public

    A show case application for how to perform rapid development with python using an Axis Communication network camera and the official SDK

    Dockerfile 4

  2. camera-analytics camera-analytics Public

    Micropython in an AXIS network camera! The base in this repository is the pipeline to cross compile micropython and to deploy and run it on an ARMv7 AXIS camera (e.g. the Ambarella S2L SoC).

    Python 4

  3. computer-vision-for-embedded computer-vision-for-embedded Public

    An introduction to edge based image analytics in an AXIS network camera. As the foundation for for a webinar this code base shows how to build an edge application, how to understand NV12 raw images…

    C 1

  4. Fun-with-c Fun-with-c Public

    Linking, compiling, undefined behavior, it's all fun! Here are some learning by doing examples that you don't see every day.

    C

  5. ujpeg ujpeg Public

    Jpeg decoder library for micropython

    C 8 1

  6. rpi-rotary-encoder-and-button-lib rpi-rotary-encoder-and-button-lib Public

    Python library to make a simple and effective interface for a control panel built with push buttons and rotary encoders. Designed for the Raspberry Pi and uses pigpio daemon.

    Python 6 2