Tsogt Baigalmaa

Bridging mathematics, physics, and computation

Systems-Oriented Software Engineering

I am a systems-oriented engineer and researcher focusing on the architecture and optimization of high-throughput computational systems. Driven by curiosity, I actively sharpen my skills by mapping mathematical abstractions onto software systems.

With formal training in Computer Science and Physics, I build software that is pragmatic, resilient and scalable.

Academic Background

École Polytechnique Fédérale de Lausanne (EPFL) M.S. in Data Science Lausanne, Switzerland • In Progress
École Polytechnique Fédérale de Lausanne (EPFL) B.S. in Computer Science Lausanne, Switzerland
University of Massachusetts Lowell B.S. in Physics Lowell, MA, USA

The Toolkit

Including but not limited to, below are the environments and methods that I am able to seamlessly utilize and apply.

Systems & HPC

C/C++ SIMD OpenMP Pthreads Linux Memory Optimization Profiling (Valgrind/GDB)

ML & Data Science

Python (PyTorch, NumPy, Pandas) Numerical Analysis SQL Stochastic Modeling Xarray

Application Architecture

Java Scala Kotlin TypeScript Distributed Systems Functional Programming

Graphics & Simulation

GPGPU WebGL/GLSL Shader Programming Computational Geometry

Infrastructure

Git CI/CD Docker Automated Testing Build & Deployment Tools

Engineering Philosophy & View on LLMs

Resource constraints drive architectural decisions. Accuracy and performance are coupled objectives.

I believe that the usage of LLMs for routine tasks is justifiable under thorough supervision. However, in the age of AI, we are becoming inceasingly susceptible to over automation. When subjectivity, creativity and correctness are of primary concern, it is crucial to understand where to draw the line.