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Welcome to my personal website! Let's stay connected!

I am a Master's student at the University of Illinois at Urbana-Champaign in the Department of Computer Science.

My research interests include optimization (SDP, LP, etc.), quantum information theory, and efficient machine learning systems. For more information you can explore this website and contact me directly!

Contact me at [email protected].

Portrait of Mayank Bhatia

Papers

Optimizing Teleportation Protocols

Mayank Bhatia, Felix Leditzky

May 2024

This undergraduate thesis explores noisy quantum teleportation protocols, focusing on optimizing fidelity and resource efficiency in quantum communication networks.

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PipeChurn

Kai-Siang Wang, Mayank Bhatia, Mingyue Tang

May 2024

This paper introduces PipeChurn, a reliable pipeline parallelism framework using Erasure Coding for edge environments. PipeChurn improves fault tolerance, accelerates recovery, and reduces end-to-end latency by 25.4% under failures, enhancing the efficiency of deep learning model training on edge devices.

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Resume

Experience

Software Engineer - Linen Labs Inc.

Current

  • Developed RAGHive, a no-code platform for custom Retrieval-Augmented Generation (RAG) systems, empowering businesses with advanced private data AI access.

Graduate Researcher - Leditzky Research Group

Current

  • Conducting research on measuring entanglement witnesses for graph states.

President - SigQuantum

8/2022 - 5/2024

  • Ran UIUC's quantum computing interest group, fostering club growth through hackathons, discussions, and equipping future leaders.
  • Led a team of newcomers to 6th place globally at MIT's iQuHACK.
  • Exposed the field of quantum computing to campus by presenting a guest lecture at CS 222, giving a public workshop for ECE PULSE, and doing outreach for CS SAIL.

Project Leader - Wagglenet Research Group

1/2023 - 5/2024

  • Developed a custom Golang server to store and transmit beehive data from distributed sensors using radios and Raspberry Pis to reporting dashboards.
  • Designed a multi-tier system linking field sensors to user-facing dashboards for real-time beehive monitoring.

Undergraduate Researcher - Leditzky Research Group

1/2023 - 5/2024

  • Overall, my research was about using variational optimization to better understand quantum communication networks
  • Specifically, developed efficient algorithms for variational quantum optimization of teleportion communication protocols by leveraging duality with dense coding communication protocols
  • Conducted detailed entanglement studies on 3-level and 4-level Werner states using variational quantum optimization and high performance computing (HPC), categorizing these states on if they offer a quantum advantage for teleportation.

Data Science Intern - Chalk Digital

5/2023 - 8/2023

  • Wrote a deep learning based recommender system to optimize the Real-Time Bidding process for hundreds of millions of daily requests.
  • Streamlined data collection and storage pipelines to support training and evaluation of complex models.
  • Engineered and managed feature sets for model performance and scalability.

Undergraduate Researcher - Illinois Geometry Lab

1/2022 - 12/2022

  • Showed asymptotic upper bounds on the quantum capacity of various high-dimensional quantum channels using semidefinite program formulations, representation-theoretic reductions, and efficient linear program computations.
  • Reproduced counter-intuitive findings that increased noise can reliably enhance communication efficiency.

Education

Master in Computer Science

University of Illinois at Urbana-Champaign

Expected Graduation: December 2025

Bachelor of Science in Computer Engineering

University of Illinois at Urbana-Champaign

Graduated with Highest Honors: May 2024

Skills

  • Python
  • Node.js
  • Machine Learning
  • Quantum Computing
  • Data Analytics
  • AWS
  • PennyLane
  • Deep Learning
  • Git
  • HPC (SLURM, sbatch, srun)

Endorsements

"Mayank is a highly motivated and capable student who I expect to achieve great things in academia and beyond. I have been mentoring and supervising him in undergraduate research programs at the University of Illinois Urbana-Champaign since the 2022 Spring term. In this time Mayank has studied mathematical and information-theoretic aspects of quantum information theory, and solved research-level problems together with undergraduate researchers under my supervision. In the current academic year 2023-24 Mayank is writing a senior thesis with me. It has been, and continues to be, a pleasure supervising him and engaging with him in discussions."
Felix Leditzky

Professor of Mathematics at University of Illinois at Urbana-Champaign

"Mayank was an outstanding intern who made significant contributions to our team's real-time bidding model based on reinforcement learning. He demonstrated exceptional intelligence, a strong work ethic, and a passion for machine learning. Mayank's attention to detail, analytical skills, and commitment to high-quality work were evident in his ability to identify critical insights and improve our project. He excelled in teamwork and communication, actively seeking feedback and fostering collaboration. Mayank's eagerness to learn and adapt to new challenges set him apart, and I have no doubt he will continue to excel in his career. I highly recommend Mayank to any organization seeking a talented individual with expertise in reinforcement learning and machine learning."
Ajit Brar

BA at Meta