Skills

Applied through research and project work

Numerical Methods

Finite Element Method

Finite Volume Method

Finite Difference Method

Nonlinear Solvers

Sparse Linear Solvers

Time Integration

Most people conflate FVM, FDM, and FEM — I use all three and know when each applies.

Scientific Computing & Software

Python

C++

MATLAB

NumPy

SciPy

Pandas

Numba

Scikit-Learn

Anaconda

Jupyter

Spyder

Git

GitHub

Docker

Linux

VS Code

Python is my primary language — from numerical solvers to AI agent orchestration. Dev tools included because good research software is version-controlled and reproducible.

Simulation Tools

Ansys Fluent

Ansys Icepak

PyAnsys

SolidWorks

ReliaSoft

From GUI-based CFD to fully scripted automation — I use Ansys tools at every level of abstraction. RelaiSoft for reliability modeling and analysis.

Experimental

ONGOING

Data Acquisition (DAQ)

DMA Testing

DSC Calorimetry

ONGOING

Cold Plate Testing

Uncertainty Analysis

ONGOING

LabVIEW

Transitioning to hands-on experimental work as part of thesis — closing the loop between simulation and hardware.

Research Communication & Management

Matplotlib

Origin Pro

Illustrator

LaTeX

PowerPoint

Canva

Jira

Obsidian

Zotero

The bridge between my research and the scientific community — from raw data plots to publication-ready figures and conference presentations. I use Jira for managing research projects and collaborations, obsidian for personal knowledge management, and Zotero for reference management.

AI & ML for Engineering & Research

LLM Agents

RAG Pipelines

OpenClaw

LlamaIndex

Physics-Informed ML

Workflow Automation

Not just using AI tools — actively building agent frameworks that connect LLMs to physics-based simulation engines. Exploratory work at the intersection of Phd productivity, thermal engineering and AI.