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.
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.
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.
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: [email protected]
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.
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.
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.
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.
This writing explained nearly everything I saw in the corporate world.
One thing I do disagree with is the promotion of enlightened underperformers. Those guys seemed to always end up leaving and starting their own companies.
I have seen and experienced some real extremes there.