iamnnk

That's insightful.

Yes, I had moving-the-chair-in-physical-space class of capabilities in mind: robots guided by multimodal intelligence, cars 'surprising me' on a day I'm idle, etc. The challenge here may be in what can be achieved at the edge, the feedback control system for correction of successive prompts.

- there could be a community angle too; with someone in another part of the world suggesting possible remedies. This can take a reddit/quora-for-personal diseases form.

Want to build a platform to alleviate chronic suffering that can't be understood by one's local doctor.

Suggestions by this platform wouldn't interfere with treatment protocol straight away; it wouldn't ask the patient to stop medicines their doctor has prescribed, or itself prescribe scheduled drugs.

It will suggest complementary interventions. Case in point: anxiety, depression, brain degeneration & other related diseases - there's Rhonda Patrick's protocol of HIIT exercises to breach the blood-brain barrier & deliver positive effects; there's Dr Chris Palmer's method of looking at metabolism & mental health jointly & benefits of a keto diet to solve such issues.

Likewise, there can suggestions from Yoga-Pranayama where deep breathing can solve insomnia & hence other diseases downstream such as hypertension in many cases.

After being on such complementary protocols, the patient's suffering will be reduced, but also the body will heal enough to an extent that their local doctor could reduce/stop medication.

The tech is in the platform, combing through wisdom of all such complementary protocols for a start. If it gains traction, we could start involving experts have system route some queries specifically to them.

I have experience building the ML-LLM part. Anyone wants to join me and build the full stack part?

I want to scrape all possible items of a post: video or photo when that's there, the caption, the hashtags, location tag.

If all aren't possible, which are? Want to let my users derive searchable intelligence off this info - intent is commercial.

I didn't know about insurance paying for second opinion in Europe; that's interesting.

Liability - are doctors liable in Europe, except in extreme cases like anesthesia overdose or obvious negligence? Even if they were, I'm interested in cases where doctors are not being criminally negligent, but just ineffective due to not keeping themselves updated.

Do you have thoughts about where to collect the seed data, in the European system?

Location: Bengaluru, India

Remote: Yes, Perfectly fine to work with European & East Asian time zones.

Experience: Built entire imaging pipelines - starting with optics' design & ISP algorithms to image processing, & eventually tuning camera sight to computer vision. Deployed classical ML & statistical techniques, so I weigh that option before picking a Deep Learning approach. Have architected entire imaging pipelines , hired, led & mentored teams of research engineers. Previously run small startups .

Languages & tools: Python, TensorFlow-Keras, scikit-learn, C, MATLAB, Imatest

LinkedIn: https://www.linkedin.com/in/narasimha-kaushik-n-01340815/

email: kaushik.nnarasimha@gmail.com

Interesting, but isn't treatment being personalized contingent on medicines being personalized too? They'd have to be formulated specifically to individuals to avoid unfavourable interactions and be most effective.

Nascent | Bangalore/India | Part-time | Research Engineer: ML-imaging

We are re-designing academic curricula, at the intersection of art & Generative AI.

We're hiring research engineers in image processing; those experienced in deep work in other areas of ML are welcome as well.

Must have skills: Implementing latest papers, replicating SoTA results, eagerness to get intimate with mathematics, programming with considerations for performance, memory footprint, etc.

Nice-to-have skills: Experience authoring papers, filing patents.

Don't apply if: your only tryst with ML or CV is taking an online course or doing projects as part of such courses, you can only handle code but not the learn math & then turn that to code, unwilling to move to Bangalore in a couple of months.

We are currently part-time-full-interest, remote & equity-fed; and plan to work onsite and pay ourselves when we get traction in the coming weeks.

If you're up for it, email narasimha[at]friskframes[dot]com and ak[at]friskframes[dot]com

FriskFrames | Full stack software engineer | Remote & part-time till funding, Bangalore & full-time afterwards

We are building the antidote to Generative AI, preventing its outputs from flooding platforms where authenticity of the processed media is foundational: finance, insurance, law-enforcement...

We're looking to welcome onboard an all-rounder software engineer who's excited more about the impact of the tech they build than specific frameworks or languages; someone who can go on to be CSA of FriskFrames in the future.

Prior experience building systems to enable & efficiently serve ML will be a bonus!

If interested, please mail narasimha[at]friskframes[dot]com

Improvement made to this service - no email required now!

Location: Bangalore, India Remote: Yes Willing to relocate: No

Technologies: Camera ISP, Computational Imaging, Image Processing, Computer Vision (feature based and deep learning), Vision based systems and optics

Resume/CV: https://drive.google.com/file/d/1OgMMbRvK1CijPO9WDFVvwTKL9Na...

Email: kaushik.nnarasimha@gmail.com

I know the position is listed as onsite, but any consideration for remote candidate whose experience closely matches the company's core offering?

My Linkedin: https://www.linkedin.com/in/narasimha-kaushik-n-01340815