ML Engineering & Research
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Kafka
scikit-learn
Git
Kubernetes
R
C++
GCP
Java
Rust
Hadoop
C
Numpy
Go
ElasticSearch
LATEX
Python
Amazon EC2/S3
Docker
MongoDB
LLVM
Spark/MLib
PyTorch
PostgreSQL
JAX
Unix
Grad student @ UT Austin (exp. Aug '23) with research experience in sequential decision-making ML (uncertainty quantification, risk-sensitive modelling, RL & Bayesian optimization) (4 conference papers, 2 in preparation). I’m also passionate & skilled at solving complex challenges that arise when building highly scalable multi-node systems to work with large-scale data corpora. I’m self-motivated & thrive on tackling complex problems, both independently & as part of a team.