About me

Turning complex data into actionable insights

I specialize in time series forecasting and data analysis, with a focus on building robust probabilistic models that work at scale. My workflow lives in Linux, powered by Python, R, and Rust.

Currently, I'm exploring the frontiers of Bayesian time series forecasting and benchmarking foundational models — pushing the boundaries of what's possible with modern ML architectures on HPC clusters.

4+
Languages
Python, R, SQL, Rust
HPC
Infrastructure
SLURM clusters
ML
Focus Area
Time series & Bayesian
Linux
Environment
Pop!_OS daily driver
Tech Stack

Tools I work with daily

Languages

🐍
Python
Primary language for ML & data
📊
R
Statistical computing & viz
🗄️
SQL
Data querying & management
⚙️
Rust
Systems & performance-critical code

Tools & Environment

🐧
Linux
Pop!_OS — daily driver
💻
VS Code
Editor of choice
📦
Miniconda
Environment management
🔀
Git
Version control

Infrastructure

🖥️
SLURM
HPC job scheduler
🏗️
HPC Clusters
High-performance computing
🐳
Docker
Containerized workflows
🔑
SSH
Remote access & tunneling