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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In my free time, I’m an MS student at the MLD at SCS, CMU. I'm a part of 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.
My efforts lately are towards modeling probability distributions and associated operators/functionals with only neural networks (no scaffolding to enable likelihood computation). Our goal is to use such methods in deep preemptive exploration/decision making, and inference from tabular data. I get to study a broad variety of exciting ideas in ML, e.g. variational and simulation-based inference, flow matching, semi/nonparametric inference, experimental design.
I also have some background in federated learning and robotics. Much of this was acquired during my undergraduate studies at IIT Kharagpur. In 2025, I got my 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 with Prof. Debashish Chakravarty's undergrad robotics group, AGV, and 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's Robotics Institute.
Interested in my earlier work (mostly on MLSys and robot perception)? Consult my Google Scholar profile.
A list of recent projects here.
For samples of my code, check out my GitHub profile. Sadly most of it is in Python, but I can spin up a mean C++ or Haskell codebase too. I have recently adopted AI-assisted programming, and consider myself to be proficient at that too. I wager >75% of my commits since February 2026 have used some AI.
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.