Hi, I am Nazym. Based in SF.
CS major on paper, math and physics major at heart.
The CS I actually use, I taught myself, and it held up through every internship.
If you're short on time, here's my resume.

Thanks for stopping by, but I'm more than what my resume tells you.
My world is an unsolved puzzle. There's a lot going on in there. Solve it and step inside.

About Me

Hi! I'm Nazym, a CS major (Math track) at Minerva University, currently pursuing my studies while traveling and working on projects in different countries (so far I've studied in the USA, Taiwan, South Korea, Argentina, and Japan). I am an incoming Software Engineering Intern at Gusto!

I'm deeply interested in hard problems like quantum mechanics and machine learning. Beyond technology, I love expressing my creativity through coding and building dynamic 3D experiences. I also love football, Rubik's cubes, and physics!

me

Experience Timeline

Research Intern

Minerva Math Modeling Research Group
January 2026 - Present • Remote
  • Working on solving Navier Stokes equations with ALE formulations and Finite Element Method.

Software Engineer Intern

Nutrix AI
September 2025 - December 2025 • Buenos Aires, Argentina
  • Designed and shipped 4 end-to-end product features across Go (GraphQL backend) and React/TypeScript frontend, including gamification systems, shopping list history, and saved recipe workflows.
  • Integrated LLM-powered recipe generation from user-provided ingredients and titles, focusing on prompt structure, output reliability, and UX constraints.
  • Debugged and stabilized production features by tracing resolver logic, frontend state issues, and Firebase integrations.

CS113 Linear Algebra Teaching Assistant

Minerva University
September 2025 - April 2026 • Remote
  • Hosted weekly office hours and mock oral exams, helping 40 students strengthen understanding of proofs, problem sets, and key concepts.
  • Graded homework and provided detailed feedback, improving student accuracy and comprehension across the course.

Python & Machine Learning Instructor

iD Tech Camps
June 2025 - August 2025 • Berkeley, CA
  • Taught Python & ML to high school cohorts of 24 students, guiding them from zero experience to delivering 5-7 projects in 4 days.
  • Provided daily code reviews and debugging support, helping students refine their apps into polished demos such as ML image classifiers and chatbots presented at final showcases.

Projects

Shyraq - Language Learning Platform

React, TypeScript, Next.js, Neon/Drizzle ORM
An interactive language learning platform with voice features, progress tracking, and gamified challenges
GitHub

3D Portfolio Website

Three.js, HTML, CSS, JavaScript
Immersive 3D portfolio showcasing my projects and experiences.
GitHub Live Site

FEM Equations Visualizer

Python, Finite Element Method, Navier-Stokes
Interactive visualizer for Finite Element Method equations from Navier-Stokes / ALE research. Connects equations from one to another, tracks revisions, and enables side-by-side comparison.
GitHub Live Site

Obsidian MCP with Claude

Model Context Protocol, Claude Desktop, TypeScript, Obsidian
MCP server that lets Claude Desktop interact directly with my Obsidian vault: reads, writes, and navigates notes. Used for AI-assisted daily planning.
GitHub

Q-Read

Vanilla JS, HTML, CSS
A personal daily reading tracker for PDF books in Kazakh. Upload a PDF, read 5 pages per day, and save phrases you want to remember — all from a single HTML file with no server required.
GitHub Live Site

Quantum Mechanics Notes

Obsidian, LaTeX, Markdown
Personal Obsidian vault for quantum mechanics (NS142): interconnected notes mapping how concepts relate, from wave functions to operators. Reflects how I think through physics.
GitHub

Real Analysis Notes

Obsidian, LaTeX, Markdown
Structured Obsidian vault on real analysis (CS144): proofs, definitions, and theorems linked by concept.
GitHub

Navier-Stokes Notes

Obsidian, LaTeX, Markdown
Research notes on Navier-Stokes equations with ALE formulations and FEM.
GitHub

Statistical Mechanics Notes

Obsidian, LaTeX, Markdown
Structured notes on statistical mechanics (NS162)
GitHub Live Site

Neural Networks from Scratch

PyTorch, Jupyter Notebook
Collection of detailed notebooks that implement micrograd and basic language models from fundamentals.
GitHub

Snake Game: Reinforcement Learning

PyTorch, Q-Learning
Reinforcement learning agent with Q-Learning neural networks that masters Snake game through trial-and-error.
GitHub

AI Adoption Assessment Tool

React, Node.js, MongoDB
An assessment platform for financial institutions with dynamic questioning and automated personalized PDF-reports.
GitHub Demo

Blog

I write about machine learning, data science, and web dev on Medium.

Visit My Blog