dgr582systems

SEEKING WORK | REMOTE | WORLDWIDE

Location: London, UK Remote: Preferred

Willing to relocate: Probably not, but am willing to discuss.

Technologies: My main tech stack is: Python, C++, HTML/CSS, React but the full list is extensive.

Resume/CV: https://www.dkgrdatasystems.com/pdfs/DKEGreen-CV-2023.pdf

Linkedin: https://www.linkedin.com/in/dr-david-k-e-green-823180134/

Website: www.dkgrdatasystems.com

---

I have been the Head of Data Science at a startup and am currently run data science at a large corporation. My work spans academia and industry. I am experienced as both an IC and a leader in the Data Science/Machine Learning/Artificial Intelligence space. I work on big data problems, forecasting and predictive analytics and simulation.

I have a PhD in Computer Science and Civil Engineering. I have a strong interest in simulation (real time and physics simulations) and was for a time a Research Fellow in a top-level mathematics department where I worked on Bayesian probability.

Some of my work is visible on my website, www.dkgrdatasystems.com.

While I am very interested and experienced in R&D I also work on production systems. I have extensive experience in both SaaS and hardware products.

Location: London, UK

Remote: Preferred

Willing to relocate: Probably not, but am willing to discuss.

Technologies: My main tech stack is: Python, C++, HTML/CSS, React but the full list is extensive.

Resume/CV: https://www.dkgrdatasystems.com/pdfs/DKEGreen-CV-2023.pdf

Linkedin: https://www.linkedin.com/in/dr-david-k-e-green-823180134/

Website: www.dkgrdatasystems.com

---

I have been the Head of Data Science at a startup and am currently run data science at a large corporation. My work spans academia and industry. I am experienced as both an IC and a leader in the Data Science/Machine Learning/Artificial Intelligence space. I work on big data problems, forecasting and predictive analytics and simulation.

I have a PhD in Computer Science and Civil Engineering. I have a strong interest in simulation (real time and physics simulations) and was for a time a Research Fellow in a top-level mathematics department where I worked on Bayesian probability.

Some of my work is visible on my website, www.dkgrdatasystems.com.

While I am very interested and experienced in R&D I also work on production systems. I have extensive experience in both SaaS and hardware products.

SEEKING WORK | London, UK | Remote

I am an experienced consultant who works to convert hard, tech related research problems into deliverable products and, ultimately, ROI for your business.

I have worked extensively in industry and in academia. I mainly work in Data Science/AI/ML but am flexible.

Some examples:

- My PhD combined Machine Learning and AI with scientific computing techniques (e.g. Finite Element Analysis) and probability theory.

- I have built and delivered full stack applications (e.g. React and FastAPI) for Data Science applications.

- I have worked extensively on real time 3D software for games and other interactive simulations.

- I have helped to deliver an AI strategy and roadmaps, translating what is possible into realistic deliverables.

Some areas I have worked in that may interest you: Time series forecasting, time series anomaly detection, Computer vision, Finite element analysis, 3D modelling and simulation, Probability and information theory, Neural Networks

Some of my tech: Python (e.g. Numpy, Tensorflow, FastAPI), C, C++, C#, Java, Databases (SQL, NoSQL), Web Development (React, Javascript, HTML, CSS), Node, Cloud (Azure, AWS, Docker)

LinkedIn: https://uk.linkedin.com/in/david-k-e-green-823180134

Email: david <at> dgr582.com

Website: https://www.dkgrdatasystems.com/

CV: https://www.dkgrdatasystems.com/pdfs/DKEGreen-CV-Feb2022.pdf

If you have interesting problems that you need help solving, please get in contact!

Not sure about other countries, but in Australia powerful construction lights are referred to as ‘day makers’ (and for good reason!).

I don’t know how they did it, but a doctor surgery near me (UK) had a large number of negative reviews up for several years. About one week ago, I looked and they now have one single 5 star review. So, anecdotally, there is at least some way to get the reviews removed.

The idea (how to organise society if you won’t know your position within it) is discussed extensively by philosopher John Rawls. It is called either the “Original Position” or “veil of ignorance” thought experiment. The idea itself goes a little further back, as discussed in the linked wiki article.

https://en.m.wikipedia.org/wiki/Original_position

To clarify, I only meant that the telescope has not been maintained (do nothing) lately as per the article. My fault for not writing more clearly.

As you say, it would be a lot of work to maintain if they wanted to keep Arecibo running.

I think part of it (as some other comments have alluded to) is that maybe the low quality production brings the kids closer to it because they feel like they could possibly build something if they wanted to. Or that someone like them built the game they are playing. It’s perhaps more relatable than some ultra polished AAA title.

Agreed, but it is still more expensive in terms of direct costs than ‘do nothing’ which seems to be the case for the telescope.

Whoever downvoted me, thanks a bunch. Not sure why.

Running a team of painters still costs more than nothing. The cost of painting doesn’t cover the cost of ongoing inspections for metal fatigue etc etc. Engineering reviews, government oversight and so on.

Large bridges, especially with vehicle traffic, vibrate quite a lot and this is causes major ongoing concerns with fatigue, which means extensive monitoring along with the painting. More costs (not saying it’s unjustified).

Keeping a team going is efficient as you say, but more expensive than nothing.

Like the (iconic) Sydney Harbour Bridge which requires continuous repainting. It’s very expensive to maintain.

https://www.australiangeographic.com.au/blogs/ag-blog/2013/1...

This is in relation to the ‘say more’ part, not specifically about the halting problem or P/NP.

Since computation is physical, there are theoretical bounds on the energy consumption of computation. (Landauer’s principle [0]).

Physical limits computation are at least one way to think about the relationship between thermodynamics and software.

[0] https://en.m.wikipedia.org/wiki/Landauer%27s_principle

Exactly this. Where is the verification?

Predictions don’t count for much unless you check that the expectations line up with reality.

Dear ImGui is so easy to get working compared to other similar C++ libraries. For small dev teams using C++ that alone makes it super valuable.

I hate losing a day to figure out how to link in some crazy, clashing dependencies. Never had that problem with this library.

This book really is worth a read. It is helpful for getting your ego out of your work and, instead, taking on the users perspective. Not affiliated with the book, but I did find it super useful.

SEEKING WORK

Location: London, UK

Remote: Preferred

Willing to relocate: Potentially

Technologies: Tensorflow, Scikit-Learn, Node, MongoDB, InfluxDB, OpenGL, HTML/CSS/JS, Arduino, MPI, OpenMP, many more

Programming Languages: C, C++, Python, Java, JS, GLSL

Main website: https://dgr582.com

LinkedIn: https://www.linkedin.com/in/david-k-e-green-823180134/

Résumé/CV: CV Available at https://dgr582.com/pdfs/DKEGreen-CV-Oct2020.pdf

Email: [email protected]

PhD Computer Science and Civil Engineering background, I have worked in academia and industry. My work centres on Machine Learning/AI for probabilistic engineering problems/simulations. Recent work includes a full time research position at the Alan Turing Institute (the UK National Centre for Data Science and Artificial Intelligence).

Looking for new opportunities in the Data Science/simulation/programming space.

Location: London, UK

Remote: Preferred

Willing to relocate: Potentially

Technologies: Tensorflow, Scikit-Learn, Node, MongoDB, InfluxDB, OpenGL, HTML/CSS/JS, Arduino, MPI, OpenMP, many more

Programming Languages: C, C++, Python, Java, JS, GLSL

Main website: https://dgr582.com

LinkedIn: https://www.linkedin.com/in/david-k-e-green-823180134/

Résumé/CV: CV Available at https://dgr582.com/pdfs/DKEGreen-CV-Oct2020.pdf

Email: [email protected]

(PhD) Computer Science and Civil Engineering background, I have worked in academia and industry. Currently working at the the Alan Turing Institute: the UK National Centre for Data Science and Artificial Intelligence. My work centres on Machine Learning/AI for probabilistic engineering problems/simulations.

Looking for new opportunities in the Data Science/simulation/programming space.

People are working on it (disclosure, that includes me - https://arxiv.org/abs/2005.13028)

There is a special interest group at The Alan Turing Institute in the UK dedicated to working on problems of this sort.

There are a number of challenges that vary depending on both the system and the forcing.