welcome. i'm a masters student in machine learning at Carnegie Mellon.
i like computing. i really like computing that approximates the complex real-world. here is my curriculum vitae.
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I’m an MS student at the MLD at SCS, CMU. I've joined Prof. Pradeep Ravikumar's group. These days, I mostly work on representation learning. My overarching agenda is to discover learning paradigms that are democratic & usable in some sense.
Pragmatically, I have been working on some exciting problems at the intersection of variational inference, experimental design, generative models and SSL.
I also have some background in nonparametric statistics, federated learning and robotics. Much of this was acquired during my undergraduate studies at IIT Kharagpur. After 5 years of pain, I recently got a B.Tech in ECE and M.Tech in Vision & Intelligent Systems (from the E&ECE department), and a minor in CS (from the CS&E department). I worked on robots with Prof. Debashish Chakravarty's AGV group, and conformal prediction and neurosymbolic learning with Prof. Saumik Bhattacharya.
The NSF, Boeing and IIT KGP Foundation supported my summer research on vertical FL and greedy DL with Prof. David Inouye at Purdue and on fast map matching and anomaly detection for Amelia at CMU SCS’ RI.
Interested in my earlier work (mostly on MLSys and robot perception)? Consult my Google Scholar profile.
Some misc curriculum non-vitae here.
For samples of my code, check out my GitHub profile. Sadly most of it is in Python, not my favorite language.
My e-mail is aviamala@iitkgp.andrew.co.cmu..comedu. I anticipate your hate mail.
My email and LinkedIn are probably the easiest way to get a hold of me.
I also have a Twitter (avi_amalanshu) but I don't really use it.
Check out my blog: malansh on Medium.
I'm always on the lookout for interesting puzzles and research problems, especially stuff that's interdisciplinary or niche (underappreciated). Let's talk if you have something interesting and can use my contributions.
I enjoy dispensing advice and mentorship (to the extent that I often do so unsolicited). So feel free to solicit if you're interested! Folks who have taken my advice are doing great and those who've ignored it are invariably suffering.