Working through PRML and creating a full solution set, albeit very slowly.

https://github.com/abhimanyu-jain/PRML_Solutions

Location: India

Remote: Yes

Willing to Relocate: Yes — ideally to Canada, US, EU or Australia

Technologies: PyTorch / NumPy / Scikit-learn / Math / AI/ML / Research

Résumé/CV: Available on request

GitHub: https://github.com/abhimanyu-jain/

Email: abhimanyujain2k6@gmail.com

I’m a machine learning researcher and former software engineer, currently working independently on a deep dive into probabilistic models, inference, and machine learning theory — including a comprehensive solutions manual for Bishop’s Pattern Recognition and Machine Learning.

You can have a look at my progress here : https://github.com/abhimanyu-jain/PRML_Solutions

I’m looking for work where I can apply this theoretical depth — ideally roles involving ML research, prototyping, or model optimization — or contribute to academic or open-source projects with strong mathematical foundations.

I have a Master’s from Boston University focused on ML, and ~5 years industry experience (Python, backend). I’m especially interested in:

Algorithmic research and model development

Teams that blend theory and implementation

Teams working on open-ended problems

I’m flexible, fast-learning, and love pushing through complexity.

SEEKING WORK

Location: India Remote: Yes Willing to Relocate: Yes — ideally to Canada, UK, US, or Australia Technologies: PyTorch / NumPy / Scikit-learn / Math / AI/ML / Research Résumé/CV: Available on request GitHub: https://github.com/abhimanyu-jain/ Email: abhimanyujain2k6@gmail.com

I’m a machine learning researcher and former software engineer, currently working independently on a deep dive into probabilistic models, inference, and machine learning theory — including a comprehensive solutions manual for Bishop’s Pattern Recognition and Machine Learning.

You can have a look at my progress here : https://github.com/abhimanyu-jain/PRML_Solutions

I’m looking for work where I can apply this theoretical depth — ideally roles involving ML research, prototyping, or model optimization — or contribute to academic or open-source projects with strong mathematical foundations.

I have a Master’s from Boston University focused on ML, and ~5 years industry experience (Python, backend). I’m especially interested in:

Algorithmic research and model development

Teams that blend theory and implementation

Teams working on open-ended problems

I’m flexible, fast-learning, and love pushing through complexity.

Working through PRML and creating a full solution set, albeit very slowly.

https://github.com/abhimanyu-jain/PRML_Solutions

So many professors in college are detached and tone-deaf about their syllabus, their approach to teaching, and their workload, that the smart students adapt.

One of those adaptations is cheating. I have seen really hardwokring students in grad school finally resort to cheating because the workload was insane, and they realized everyone else was cheating.

Damn this is a lot of work. Bookmarked.

It has not been stress tested, or optimized, tread lightly and thanks a lot for appreciating the work.

Sometimes, no matter how much work you put in, you will NOT get better at something.

All these advice pieces are garbage. Easy to say, but then you put in thousands of hours of practice and dont seem to get any better.

Most of the time, those take home tests cannot be done in 2 hours. I remember one where I wasn't even done with the basic setup in 2 hours, installing various software/libraries and debugging issues with them.

People mostly fix some issue, or implement a feature at work. And then somebody outside can do the same in the same time.

In reality they need to look at this like onboarding a new team member.