Where I've worked
Extropic AI (Jan - Dec, 2023) - Research Engineer Intern
- Built the core codebase for the simulation of our analog thermodynamic-based AI hardware, laying the groundwork for subsequent R&D modelling and analysis initiatives.
- Enhanced the training pipeline efficiency, achieving a 2-fold increase in speed through meticulous memory optimization and bottleneck profiling across 100+ GPU training runs
- Created an internal state-of-the-art JAX library for tensor network simulation of quantum circuits on CUDA GPUs
Untether AI(Sept - Dec, 2022) - Compute Kernel Engineer Intern
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Developed 3 custom kernels in C++ specialized for rapid neural network inference on the UntetherAI chip architecture.
Institute for Quantum Computing(Jan - Apr, 2022) - Research Intern
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Researched a method to effectively realize Bose Hubbard Hamiltonian dynamics through Rydberg atom arrays.
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Built infrastructure to run 100+ theoretical simulations under various experimental conditions and constraints.
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Developed a python package for efficiently calculating sparse matrix exponentials using the Krylov Method.
Zapata Computing(Jun - Aug, 2021) - Quantum AI Intern
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Researched more efficient training methods for quantum generative models.
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Developed Orquestra codebase to enable effortless development of QGANs (quantum generative adversarial networks).
What I've done
May 2023 - Integrated Nvidia GPU compatibility into TensorFlow Quantum for large-scale speedups
- Became the largest non-google open source contributor to TensorFlow Quantum
- Implemented Bazel build infrastructure and cuQuantum SDK GPU kernels for quantum circuit simulation on heterogenous devices.
April 2022 - Authored article on quantum graph neural networks [article]
- Wrote a deep dive into classical graph neural networks, graph convolutions & attention-based graph learning, and QML applied to high energy physics [article]
Feb 2022 - Top 5 QHack 2022 Project [github]
- Improved a hybrid quantum graph neural network that was used to solve the particle trajectory reconstruction problem [link]
Dec 2021 - Authored closing chapter in the Qiskit QML course [link] [blog]
- As part of the Qiskit Advocate Mentorship Program, authored the chapter on QGANs for the newly released quantum machine learning course by IBM's Qiskit team [link]
June 2021 - Built a project applying
quantum generative adverserial networks to learn sequential data [link]
- Under the guidance of a research scientist from AWS
Braket, built a hybrid quantum-classical version of the Wasserstein generative
adversarial network. [link]
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Evaluated learnability of conditional QGANs for sequential data prediction [link]
- Investigated heuristics for optimal training of QGANs [link]
Feb 2021 - Quantum portfolio optimization project with QHack 2021 [link]
- Used quantum generative adversarial networks for portfolio optimisation
- We built an exploratory project applying qGANs and VQE to solve the mean-variance portfolio
problem. This placed our team in the 95th percentile of participants in the QHack quantum machine learning hackathon winning over $4000 in
AWS credits.
Apr 2021 - Authored an overview of quantum generative adversarial networks
[link]
- Explained QGANs for quantum computing enthusiasts.
- Derived the cost function and other mathematical properties stated in the original paper
Feb 2021 - Generalized QAOA to solve the Max-Cut problem [link]
- Built a general quantum approximate optimization algorithm for solving weighted cases of the
Max-Cut problem
Mar 2021 - Developed an AI SMS-based text engine in a project partnered with UN Women
[link]
- An alternative search engine that we’ve developed & trialed, allowing rural South Africans with
a mobile phone to be able to send internet search queries & receive back summarized results all
through SMS
- Placed top 3 in challenge out of 150+ teams — project built as part of a TKS challenge w/ United Nations.
Dec 2020 - Challenge project for Instacart [link]
- Addressed customer experience holdbacks by providing an easy-to-implement solution filling data
gaps in the Instacart to retailer to CGP pipeline.
- Won first place in consulting challenge out of 30+ teams.