jinen.setpal.net Open in urlscan Pro
2606:4700:3033::6815:61b  Public Scan

Form analysis
0 forms found in the DOM

Text Content

Jinen Setpal
Jinen Setpal
 * Home
 * Publications
 * Talks
 * Blog
 * APtCO
 * Resume
 * CV
 * Research Statement


JINEN SETPAL


ML ENGINEER @ DAGSHUB


SLIDES ARCHIVE (FTP DIRECTORY)

 * 
 * 
 * 
 * 
 * 
 * 


ABOUT ME!

I’m a Machine Learning Engineer @ DagsHub. Independently, I research aspects of
ML theory, intrinsic & mechanistic interpretability, as well as domain
generalization; I aim to study & develop methods for leveraging intuitive biases
which enable learning parameters that produce emergent behaviors while remaining
interpretable by design.

Besides Machine Learning, I enjoy hiking, motor racing, chess, swimming,
mountain biking (although I suck at this one) & anything that gets my adrenaline
pumping.

Employment

 * Machine Learning Engineer
   
   Jun. 2022 - Present
   
   DagsHub

 * Student Researcher
   
   Jan. 2023 - Aug. 2023
   
   Purdue University

 * Systems Developer
   
   Sep. 2020 - Jul. 2021
   
   Teachiq AB / exam.net

Education

 * B.Sc in Data Science, 2021 - 2024
   
   Purdue University

Teaching

 * CS390-WAP Course Instructor
   
   Aug. 2022/23 - Dec. 2022/23
   
   Purdue University

 * STAT190 Teaching Assistant
   
   Feb. 2022 - May. 2022
   
   Purdue University


PUBLICATIONS

If and when this list becomes longer, it may be helpful to filter for relevance.
Yifei Hu, Jinen Setpal, Damin Zhang, Jacob Zietek, Alex Gonzalez, Jack Lambert,
Julia Rayz (2023). BoilerBot: A Reliable Task-Oriented Chatbot Enhanced with
Large Language Models. Alexa Prize 2023.

Cite Code Paper Webpage

Gokhan Unel, Sezen Sekmen, Anna-Monica Toon, Berare Gokturk, Bora Orgen, Arpon
Paul, Tojosoa Nantenaina Raveloarijaona, Jinen Setpal (2021). CutLang v2:
Advances in a Runtime-Interpreted Analysis Description Language for HEP Data.
Frontiers in Big Data.

Cite Code DOI Paper

Jinen Setpal, Gabriele Sarti (2020). ArchiMeDe @ DANKMEMES: A New Model
Architecture for Meme Detection. EVALITA 2020.

Cite Code Video Paper


TALKS

The Machine Learning Angle for Open Source Science
Establishing an extensible framework for reproducible Machine Learning.
Last updated on Jun 15, 2024
Slides

Interpretability Tools as Feedback Loops
Porting post-hoc techniques to intrisically interpretable neural networks.
Last updated on Jun 15, 2024
Code Slides Video



SELECTED BLOGPOSTS

Not Waiting for Two Days to Work on My Dataset
Sidestepping a bad ISP with Amazon’s infrastructure.
Jinen Setpal
Last updated on Jun 15, 2024

Grokking Large Language Models
Breaking LLMs, finding (stopgap) solutions and leveraging them.
Jinen Setpal
Last updated on Jun 15, 2024

Unraveling the Deep Learning Reproducibility Crisis
Enumerating shortcomings within deep learning research reproducibility.
Jinen Setpal
Last updated on Jun 15, 2024



AWESOME PEOPLE TO CHECK OUT

Through my time learning, I’ve met and collaborated with a lot of people
passionate about various topics in computer science. Below are a couple of my
favourites. If you have a free moment, you should check them out!

 * Alexiy Buynitsky
   
   Robotics Research, AI Engineer @ Armada

 * Aref Malek
   
   ML Research; SWE @ Starlink

 * Arnav Mehra
   
   Algorithms Expert, ♫ Programs in C(++) ♫

 * Bhavesh Pareek
   
   Literal Genius (Algorithms, Web, Networks)

 * Cole Roberts
   
   OS Dev, Embedded Systems Engineer

 * Harmya Bhatt
   
   Researcher; NLP & Explainable AI

 * Jacob Zietek
   
   Robotics Research, Entrepreneur; AI Engineer @ Armada

 * Mikail Khan
   
   PL Research @ CMU (NSF GRFP Fellow!)

 * Nicholas Wade
   
   Robotics, ML, Crypto, SWE

 * Nick Norton
   
   Algorithms, SWE

 * Sagar Patil
   
   NLP, SWE, Embedded Systems

© 2024 Jinen Setpal. This work is licensed under CC BY SA 4.0



CITE

×



Copy Download