Hi, I'm Varul Srivastava
Jack of all trades
Jack of all trades
International Institute of Information Technology (IIIT) Hyderabad | B. Tech + MS by research in Computer Science
CGPA: 9.65
Awarded Institute Gold Medal
Dean's List 2019-2023, Research Award 2023
St. Joseph's College - Prayagraj India | Mathematics & Computer Science - CISCE
Class XII: 98.75%
College Valedictorian
Class X: 94.6%
[1] Optimal Strategies for Federated Learning Maintaining Client Privacy [pdf]
Uday Bhaskar K, Varul Srivastava, Avyukta V, Naresh Manwani, Sujit Gujar
Arxiv, 2025
[2] Decent-BRM: Decentralization through Block Reward Mechanisms [pdf]
Varul Srivastava, Dr. Sujit Gujar
Autonomous Agents and Multi-Agent Systems (AAMAS) 2024
[2] No Transaction Fees? No Problem! Achieving Fairness in Transaction Fee Mechanism Design [pdf]
Sankarshan Damle, Varul Srivastava, Dr. Sujit Gujar
To appear in European Conference on Artificial Intelligence (ECAI) 2024. Appeared in AAMAS 2024 as an extended abstract.
[3] Towards Rational Consensus in Honest Majority [pdf]
Varul Srivastava, Dr. Sujit Gujar
To appear in IEEE International Conference on Distributed Computing Systems (ICDCS), 2024
[4] QuickSync: A Quickly Synchronizing PoS-Based Blockchain Protocol. [pdf]
Shoeb Siddiqui, Varul Srivastava, Raj Maheshwari, Dr. Sujit Gujar
IEEE International Conference in Blockchain and Cryptocurrencies (ICBC) 2023
[5] PRAGTHOS: Practical Game Theoretically Secure Proof-of-Work Blockchain. [pdf]
[6] Robust In-Context Learning via Multi-Armed Bandit-Based Partition Selection
System and method for securing a Proof-of-work-based blockchain using game theory
Varul Srivastava, Sujit Gujar | Provisional Patent Filed
Google Deepmind - Pre Doctoral Researcher
Working as a Pre-Doc in the Agents (AQUA) Team
Working on Knowledge Graphs and Reinforcement Learning to improve Gemini for Health
Oracle - Application Developer
Full Stack Application Developer in Oracle Fusion
Working on development of Supply Chain Planning products
Microsoft Research India - Research Intern
Under the supervision of Dr. Rahul Sharma
Worked on LLM based Superoptimizers for C++/C compilers with equivalence checking using SAT-solvers observing speedups from 2x to 20x in benchmark codes.
Machine Learning Lab (MLL), IIIT Hyderabad - Student Researcher
Under the supervision of Dr. Sujit Gujar
Working in the domain of Security and Privacy using applications of Cryptography and Game Theory in Distributed Systems, Blockchains and Federated Learning.
Game Theory - Machine Learning Intern
Working in a team of 4 people to propose, design and implement a Rating and Matching algorithm for skill-based matching and seamless user experience.
SSE-AVX intrinsics, Boost/C++, Truffle, Hardhat, PyTorch, Flask
Math, System Design, Cryptography, LLMs, RL