In my last company (before I left tech forever) I would tell my team that I am blocked on something or my progress is slow because of whatever reason and it would all get ignored lol.

It was almost like they required the standup as part of the process but never used it the way it should be used.

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.