Vita
Last updated: 09/09/2024
Summary: Looking for engineering roles in AI. I have a strong foundation in mathematics coupled
with advanced programming ability. This enables me to quickly iterate on and implement complex ideas. I am
naturally optimistic, an effective team player, a quick learner, and possess high stamina.
Here is some
illustrative work, see my GitHub and website for more.
- Sherlock Holmes Eval (video/repo): Test a LLM's ability to identify the culprit in murder mysteries.
- Guaranteeing JSON from GPT-2 (video/repo): Reproduced GPT-2 on 8xA100 GPUs, fixed a subset of tokens in the output sequence to be JSON schema leaving gaps for model to generate the values.
- Training algorithm for regularized models on arbitrarily large data sets (video/arXiv/repo): Eliminates requirement of storing O(n) quantities in memory, and allows for training data to be stored in distinct sites for privacy concerns.
- Debiased high-dimensional logistic regression (video/arXiv/repo): Conjecture to debias model in setting where both the number of features and observations are asymptotically increasing.
Technical Skills
- Languages: Python, R, JavaScript, SQL
- Packages, Frameworks: PyTorch, CUDA, HPC clusters, React, Django, AWS
- Expertise: numerical optimization, computational linear algebra, and ML theory (transformers, stochastic gradient descent, deep learning, Markov processes)
Education
PhD in Mathematical Statistics. University of
Warwick.
Oct 2020 - Aug 2024.
Supervisor: Prof. Ioannis
Kosmidis
Publications: On fitting models to
very
large data sets and debiasing high-dimensional
logistic regression, see my Google Scholar.
MSc in Statistics. University of Warwick. Oct 2019 -
Sep 2020.
Dissertation: Bias-reduced logistic regression in high
dimensions and model estimation with arbitrarily large n.
Awards: Winton Award
(Finished 1st in class)
BCom Actuarial Science with Honours in Statistics. University of Cape Town. Feb 2015 - Nov 2018.
Awards: STA4006W Class Medal
(Finished 1st in class), Commerce Faculty Scholarship, Dean's Merit List.
Experience
Data Scientist. Barrows
Global.
May 2019 - Aug 2019.
Cleaned and extracted features from major retailer's data, built models to analyse and
draw inference on the sales performance in the store environment to inform the advertising strategy for
clients.
Actuarial Intern. Old Mutual
Limited. Feb
2017.
Performed Value at Risk (VaR) modelling and worked with the reinsurance team to rectify a database
error which produced duplicate policy holders.