About Me

Convocation

Hey there! Welcome to my personal website.

I am a Research Engineer at Google DeepMind in Mountain View Office.

I previously graduated with a Research Masters degree in Computational Science at Harvard University advised by Prof. Himabindu Lakkaraju. I work broadly in the realm of trustworthy machine learning, and particularly in explainability, uncertainty quantification, interpretability, and fairness in the context of foundation models.

Prior to graduate school, I was a Lead Product Engineer in Machine Learning at Sprinklr AI for three years developing distributed machine learning systems for vision, language and speech processing. A few products I worked on - Visual Insights, Conversational AI, Voice AI. In what seems like a lifetime ago, I graduated with a Bachelors degree from Indian Institute of Technology Madras where I was advised by Prof. Balaji Srinivasan. I had a fun time working on problems in computational fluid flow simulations and numerical methods, which gradually turned into an interest in machine learning.

Updates

Sep, 2024 Couple of my works [1, 2] were cited in OpenAI O1 Model report.
Aug, 2024 Started at Google DeepMind.
Jul, 2024 Paper accepted for lightning talk at TiFA Workshop at ICML 2024.
Jan, 2024 Paper accepted at AISTATS 2024, Spotlight at R0FoMo Workshop at NeurIPS 2023.
Jul, 2023 Paper presented at Deploying Generative AI Workshop at ICML 2023

Publications

  1. Sree Harsha Tanneru*, Dan Ley*, Chirag Agarwal, Himabindu Lakkaraju. On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language Models, Preprint. Under Review. Accepted at ICML 2024 Workshop on Trustworthy Multi-modal Foundation Models and AI Agents.

  2. Chirag Agarwal, Sree Harsha Tanneru, Himabindu Lakkaraju. Faithfulness vs. Plausibility: On the (Un)Reliability of Explanations from Large Language Models, Preprint. Under Review.

  3. Himabindu Lakkaraju, Sree Harsha Tanneru*, Chirag Agarwal*. Uncertainty In Natural Language Explanations of Large Language Models, Accepted at AISTATS 2024, and a Spotlight Paper at NeurIPS R0-FoMo 2023 Workshop

  4. Alexander Lin*, Sree Harsha Tanneru*, Lucas Monteiro Paes*, Suraj Srinivas, and Himabindu Lakkaraju. Word-Level Explanations for Analyzing Bias in Text-to-Image Models, Presented at ICML 2023 Workshop on Challenges of Deploying Generative AI

  5. Sree Harsha Tanneru*. Edge Importance Scores for Editing Graph Topology to Preserve Fairness, Presented at ICML 2023 Workshop on Topology, Algebra, and Geometry in Machine Learning

  6. Dr. Balaji Srinivasan, T Sree Harsha*. Reconstruction of Flows using Convolutional Neural Networks, ISME Journal of Thermofluids Volume 5(1): 01-15. doi: 112019

Reviewing

Experience

Research Engineer

Aug 2024 - Present

Machine Learning Engineer

May 2023 - Sep 2023

Masters Student

Aug 2022 - May 2024

Lead Machine Learning Engineer

Jun 2019 - Aug 2022

Bachelors Student

July 2015 - May 2019

Find Me

email    twitter    github    google scholar    linkedin    goodreads   

Teaching Experiences

I had the fortune of being a teaching fellow for following classes during my masters.

Here's what my students have to say about me. Not so subtle *humble brag* follows.

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  • "Sree was extremely helpful during office hours in explaining more complex topics discussed in class."
  • "Absolutely stellar TF, very grateful for his help during the course."
  • "Super helpful when I was confused about something!"
  • "He was an invaluable TF for so many of us and helped us whenever we had questions or concerns."
  • "He was extremely nice with everybody and made sure every single person fully understood the concepts and had their questions answered in their entirety."
  • "Couldn't have gone through 187 without him!"
  • "I wasn't able to go to Sree's office hours until about halfway through the semester, and I really regret that I couldn't go sooner."
  • "His office hours were very helpful in understanding the material but he also answered our (usually dumb) questions in such a respectful way that encouraged us to ask more questions so that we could fully comprehend the material."
  • "One of the best tf's i've had in a class. Would not have made it through this class without Sree."

Books

I (make an attempt to) read. Find me on goodreads.

Currently reading

Next up