Hey there 👋 I’m a curious engineer who enjoys building and experimenting with things that scale, and then figuring out how to make them faster, cheaper, and smarter.
I’ve spent a few years working on video streaming pipelines (HLS/DASH) and server-side ad insertion, using Node.js, FFmpeg, Kubernetes, and a bunch of cloud tools.
These days, I’m pursuing my M.S. in Statistics & Data Science, learning how mathematical and statistical models can be applied to real world problems. I love exploring different domains lately diving into quant finance, high-performance computing, and blockchain.
In particular, I’m interested in applying statistical models to analyze and improve the performance of HPC systems. I know it sounds like a jumbled mix, but I treat each project as a small experiment to learn something new.
Be kind, keep learning, and keep grinding. 💪
Interests & Current Work
-Monte Carlo Simulation for Stock Prices
Building Experimenting with simulating future stock price movements using Monte Carlo methods to estimate probabilities of different outcomes and visualize potential price paths.
-Option Pricing with Black–Scholes Formula
Implementing the Black–Scholes model to calculate European call and put option prices and explore put–call parity to understand option payoffs and risk management.
-Portfolio Optimization with Markowitz Model
Building a mean-variance portfolio optimizer to construct portfolios that minimize risk for a given expected return and visualizing the efficient frontier of selected assets.
Contact Me
Hobbies
Mobile Photography
Trekking & Hiking
Exploring New Places
Music
Anime & Manga