Gautam Jajoo
Work hard. Be optimisitc. Enjoy the journey.

Hey folks! I am Gautam Jajoo, a final-year undergraduate student at BITS Pilani pursuing B.E. Computer Science and M.Sc. Economics. I like to code and love to work at the intersection of tech, business and research.
My research interests include Federated Learning, Privacy Preserving & Secure ML, and Causal Reasoning. I am also working on LLMs particularly prompt optimization and reasoning.
My hobbies include quizzing, playing chess(always up for a match, lichess id: gautamjajoo), and watching movies(I am a movie buff ;)). Apart from that, I love writing jokes(I have even tried standup!).
I have actively participated in a diverse array of competitions spanning various domains, including product development, case studies, financial analysis, programming contests, and data analytics and science competitions.
I love to talk and interact with people(not an extrovert, but an ambivert). I bring plenty of energy and optimism to life, striving to stay upbeat even on tough days.
I am always looking opportunities to collaborate and work on interesting projects. Feel free to reach out to me if you have any questions or just want to say hi!
Joining Georiga Tech next semester as a visiting research student!
news
Nov 02, 2024 | Paper “Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model” has been selected in the 2025 AAAI Undergraduate Consortium. Will be there at AAAI in Philadelphia! |
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Oct 02, 2024 | In the Bay Area till 12th October, attending the GSOC Summit, SFTechWeek, and the BayLearn Symposium. |
Sep 21, 2024 | Attended Pycon India 2024 as an invited speaker. Slides and recording available soon |
Aug 24, 2024 | Attended Pycon MY 2024 as an invited speaker to talk on “Unveiling the Private: Federated Learning and Model Compression for Secure AI at the Edge” |
Aug 19, 2024 | Started working as a Research Intern at Microsoft Research, BLR |
Jun 03, 2024 | Started working as a Data Science Intern at Atlassian |
May 01, 2024 | Paper “METALS: Semi-Supervised Federated Active Learning for Intrusion Detection Systems” has been accepted at the IEEE ISCC 2024 |
Feb 21, 2024 | Mentoring GSOC students with CloudCV. Prospective students, do checkout GSOC CloudCV |
Feb 05, 2024 |
Started working as a collaborator at the MIT Media Lab!! ![]() |
experiences
Microsoft Research Lab
Research Intern
(Aug 2024 - Present)
Supervised by: Amit Sharma and Nagarajan Natarajan

◦ Working on causal discovery benchmarking and LLM memorization and reasoning.
MIT Media Lab
Research Collaborator and Open Source Developer
(Feb 2024 - Present)
Supervised by: Abhishek Singh

◦ Benchmarked decentralized learning algorithms and network topologies, ensuring fault tolerance and mitigating rogue client issues.
2. Fluid Interfaces Group:
◦ Working on nudging agents on the web
Atlassian
Data Science Intern
(June 2024 - July 2024)

◦ Authored 150+ complex SQL queries to build the scorecard to gain an extensive understanding of business, customer, and product health.
◦ Developed forecasting & anomaly detection models to detect outliers & predict the metric values to benchmark against the truth values.
CloudCV
Developer, Mentor, Contributor
(2018 - Present)

◦ GSOC Organization Administrator 2024 - Leading a team of 5+ mentors and students working on EvalAI on two awesome ideas, "Admin Tools Enhancement and Cost Optimization" and "Enhanced Exception Handling & Leaderboard Porting".
◦ GSOC Mentor 2023 - Mentored 2 students for Google Summer of Code 2023 who are working on improving the usre interface and infrastructure of EvalAI
Nantes Universite, France, LS2N (STACK team)
Research Intern
(May 2023 - Jan 2024)
Supervised by: Prof. Kandaraj Piamrat and Dr. Ons Aeoudi

◦ Conducted testing, benchmarking our model against state-of-the-art methodologies, including Classical Machine Learning models (Random Forest, SVM, Decision Tree, KNN etc.), classical FL, and introducing new Active-based FL
ADAPT Lab, BITS Pilani
Undergraduate Student Researcher
(Jan 2023 - May 2024)
Supervised by: Prof. Poonam Goyal

◦ Exploring techniques for model compression such as Binarization, Quantization, Pruning, and Knowledge Distillation to reduce memory constraints for deploying on edge devices and enhance the Machine learning(ML) model’s performance
Summer of Bitcoin
Student Developer
(May 2022 - July 2022)
Supervised by: Vincenzo Palazzo

◦ Worked on integrating components like QR codes, enhancing APIs and implementing new APIs using GraphQL for metric display
North Eastern Space Application Centre
Student Intern
(May 2022 - Aug 2022)
Supervised by: Dr. Avinash Chouhan

◦ Successfully deployed ML model based on Sat2Graph Paper to production environment at scale using KServe and BentoML
Indian Angel Network Pvt Ltd
Investment and Portfolio Management Intern
(Feb 2022 - April 2022)
Supervised by: Prafful Garg

◦ Worked on formulating an investment thesis on potential investment niches in the BioTech and Web3 industry
Google Summer of Code
Student Developer
(May 2021 - Aug 2021)
Supervised by: Ram Ramrakhya and Rishabh Jain

◦ Worked on adding new features, improving UI, fixing bugs, and optimizing data loading by reducing loading time by 66%
◦ Improved the infrastructure by reducing API requests by 40% and implementing unit tests using Jasmine and Mocha