Hi! I'm Aadit Deshpande, a graduate student at the School of Computer Science, Carnegie Mellon University. I am pursuing a Master's degree in the Language Technologies Institute (LTI), where I am a research collaborator with Prof. Carolyn Rose's group. Through my NLP research projects and courses at CMU, I have gained expertise in all levels of computational language processing. In my current internship with Siemens DISW, I have the opportunity to apply these skills, allowing me to make informed decisions while deploying LLMs for a variety of use cases including engineering software (as well as healthcare and finance through my past experiences). I am set to graduate in Dec 2024, and I'm currently on the job market for MLE and SWE roles! Please feel free to reach out :)

At CMU, I designed my curriculum and research to gain experiences ranging from shallow language processing, while working with massive Search Engines to cultivating an in-depth knowledge of linguistics (morphosyntax and phonology), such as in my work with Prof. David Mortensen. In addition, I've diversified my skillset by exploring different modalities of NLP, as I demonstrated in my project on speech translation systems with Prof. Shinji Watanabe. In the next semester, I will be working with Prof. Lori Levin and Prof. Lei Li on my capstone project on medical translation systems.

Right before joining CMU, I graduated from Birla Institute of Technology and Science, Pilani (BITS Pilani ), India in May of 2023 with a bachelors degree in Computer Science. At BITS Pilani, I most recently worked with Prof. Vinay Chamola with the IoT Lab, where we conducted research on Split Learning for privacy-preserving deep learning applications in healthcare (code).

In 2022, I was an intern with the Advanced NLP Team at American Express, AI Labs. At Amex, I worked on unsupervised methods to gain insights such as intent and sentiment from external consumer complaints, particularly from social media channels. At BITS, I have also worked with Prof. Sundaresan Raman on biomedical feature selection and retinal image processing.

Outside of work, I do digital art (see below, more to come soon!). I am passionate about the inclusion of LGBTQ+ folks in CS research and I've previously volunteered with QueerinAI. Feel free to email me for research collaborations or anything that I could help you with (for BITS undergrads).

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Updates

• May 2024: Started as a SDE Intern with Siemens, in the NX LLM Integration team.


• May 2024: Finished second semester at CMU!
• Apr 2024: Demonstrated project on Cascaded vs. end-to-end S2ST models to Prof. Shinji Watanabe's group.
• Apr 2024: Presented research project on LLM rhyming capability to Prof. David Mortensen's group.
• Apr 2024: Gave a talk on Extended LLM text generation (medical personas) to Prof. Carolyn Rose's group.
• Jan 2024: Started as a TA for 10301/601 (Introduction to ML) with Prof. Henry Chai and Prof. Matt Gormley.


• Dec 2023: Finished first semester at CMU!
• Dec 2023: Submitted report on synthetic medical note generation, research work done with Prof. Carolyn Rose.
• Aug 2023: Joined LTI, CMU as a graduate student!


• May 2023: Graduated with B. Eng. Computer Science from BITS Pilani, India.

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Projects

Evaluating the Rhyming capabilities of Large language models.
Aadit Deshpande, David Mortensen
[code][report][talk slides]

Cascaded vs. End-to-End Speech-to-Speech Translation systems.
Aadit Deshpande, Evan Fellman, Alexander Raskin, Sophia Topi
[code][report]

Maintaining Consistency in extended LLM text generation.
Aadit Deshpande, Carolyn Rose
[code][report][talk slides]

Split Learning for privacy-preserving healthcare, threat models and defensive techniques for decentralized learning.
Aadit Deshpande, Vinay Chamola
[code]

Unsupervised summary generation from social media posts with intent features (work done at AMEX, AI Labs)
Aadit Deshpande, Shreya Goyal, Prateek Nagwanshi, Avinash Tripathy
[paper]

An ImageJ macro tool for OCTA-based Quantitative Analysis of Myopic Choroidal Neovascularization.
Aadit Deshpande, Sundaresan Raman, Amber Dubey, Pradeep
[code][paper]

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Experience

Software Development Intern, Siemens DISW, Cincinnati, OH
May 2024 - Present

Graduate Researcher, Teledia Research Group, CMU, Pittsburgh
Aug 2023 - May 2024

Undergraduate Researcher, IoT Lab, BITS, Pilani
Jan 2023 - Jun 2023

NLP Intern, American Express, AI Labs, India
Jul 2022 - Dec 2022

Research Intern, Boston University, CV Lab
Feb 2022 - Apr 2022

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Teaching Experience

Teaching Assistant at CMU for 10-601 Introduction to Machine Learning
Instructors: Hoda Heidari , Henry Chai, and Matt Gormley
Course Website: 10-601
Semesters Taught: Spring 24

Teaching Assistant at BITS for CS F241 Microprocessors and Interfacing
Instructors: Vinay Chamola
Semesters Taught: Spring 22, 23

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Other Links

Blog Posts for creative writing, tutorials and other thoughts.

My Art page