A heartwarming story about a teenager cold-emailing a famous mathematician and getting mentorship—provided that she lives ten blocks away, rapidly solves Herstein problems with original proof ideas, catches the interest of multiple topologists, and eventually helps solve a decades-old open problem.
The takeaway for ordinary students is presumably: “Simply be an extraordinary mathematical talent who happens to live next door to a lonely 92-year-old legend.”
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: 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.
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.
The takeaway for ordinary students is presumably: “Simply be an extraordinary mathematical talent who happens to live next door to a lonely 92-year-old legend.”
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