Shivesh Prakash

Department of Computer Science, University of Toronto

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Hey, thanks for stopping by! 👋

I’m a final-year Computer Science undergrad at UofT, specializing in AI with a Minor in Statistics. My journey combines a passion for cutting-edge AI and its real-world applications, particularly in finance, computational chemistry, and human-centric technologies.

From developing distributed learning systems to AI tools for trading and retrosynthetic pathway prediction, I focus on bridging theoretical advancements with impactful use cases. My work spans forecasting financial volatility, material sensing, and enabling spatial audio generation through AI.

I’m interested in distributed deep learning, reinforcement learning, and large language models (LLMs), emphasizing real-time decision-making in fintech, such as algorithmic and high-frequency trading.

I’m seeking summer 2025 internships and fall 2025 graduate school opportunities to contribute to groundbreaking projects. Let’s collaborate on something incredible! 🚀

news

Apr 3, 2025 Released MHNpath on arXiv and GitHub.
Apr 1, 2025 Won UC Merit Award, recognizing my academic achievements and contributions to the student community.
Aug 15, 2024 Won best research poster award at DSI SUDS Showcase 2024.

selected publications

  1. mhnpath.png
    A Deep Learning Framework for Step-Wise Synthesis Planning via Data-Driven Exploration
    S. Prakash, H. Jacobsen, and V. Prasad
    arXiv:2504.02191, Apr 2025
  2. gb.png
    Efficient Training of Transformers for Molecule Property Prediction on Small-scale Datasets
    S. Prakash
    arXiv:2409.04909, Sep 2024
  3. see2sound.png
    SEE-2-SOUND: Zero-Shot Spatial Environment-to-Spatial Sound
    R. Dagli, S. Prakash, R. Wu, and 1 more author
    ICMLW 2024, Jun 2024
  4. utat.png
    Beyond the Visible: Jointly Attending to Spectral and Spatial Dimensions with HSI-Diffusion for the FINCH Spacecraft
    I. Vyse, R. Dagli, D. Chadha, and 26 more authors
    arXiv:2409.04909, Jun 2024