Gautam Jajoo

Hey folks! I am Gautam Jajoo, a final-year undergraduate student at BITS Pilani pursuing Bachelors in Computer Science and Masters in 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 Distributed Learning. I am also working on LLMs particularly prompt optimization and reasoning.

My hobbies include quizzing, playing chess, and watching movies(I am a movie buff ;)). Apart from that, I love writing jokes, and sometimes I try to do 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 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!

news

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
Mar 21, 2024	Launched the personal website!
Feb 21, 2024	Mentoring GSOC students with CloudCV. Prospective students, do checkout GSOC CloudCV
Feb 05, 2024	Started working as a research intern at the MIT Media Lab!!

experiences

MIT Media Lab

Research Intern and Open Source Developer

(Feb 2024 - Present)

Supervised by: Abhishek Singh

◦ Working on SONAR, a collaborative project where users self-organize to improve their ML models by sharing representations of data or model.
◦ Benchmarked decentralized learning algorithms and network topologies, ensuring fault tolerance and mitigating rogue client issues.

Atlassian

Data Science Intern

(June 2024 - July 2024)

◦ Created a performance scorecard dashboard on Tableau with relevant metrics used by 50+ stakeholders to get a comprehensive understanding of business, customer and product health and highlight the areas of success and pinpoint the issues
◦ 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)

◦ I am helping to actively maintain CloudCV Project which aims to make AI research more reproducible.
◦ 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

◦ Developed a new Active Learning (AL)-based Federated Learning (FL) framework (METALS : seMi-supervised fEderaTed Active Learning for intrusion detection Systems) of the Intrusion Detection Systems (IDS) in IoT networks to combine semi-supervised learning and FL to take advantage of the strengths of both approaches
◦ 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

◦ Developed an FL-based tiny model to estimate the Remaining Useful Life (RUL) of electric vehicle batteries
◦ 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

◦ Collaborated on developing and redesigning ln-dashboard, a seamless payment system on Bitcoin’s Lightning Network
◦ 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

◦ Created and hosted Deep Learning(DL) - based model, services, and workflow pipelines for a disaster risk reduction project
◦ 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 in the funding processes for startups by performing due diligence, attending pitches, and other venture screening processes
◦ 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 EvalAI where we replaced the existing UI with a new UI version and implemented new REST APIs
◦ 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