Angel Michel Yam Profile

Angel Michel Yam

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Bilingual physics graduate from UC Berkeley with 8+ years of experience tutoring STEM subjects across educational levels and platforms. Hands-on experience in laboratory instrumentation, circuit analysis, and data modeling using Python and Tableau.

About Me

Transforming complex physics concepts into innovative data solutions

Physics Foundation

UC Berkeley Physics graduate with comprehensive education in quantum mechanics, thermodynamics, classical mechanics, electromagnetism, and scientific computing. Strong foundation in mathematical modeling and experimental physics.

Educational Excellence

8+ years of experience tutoring STEM subjects across educational levels and platforms including WyzAnt, BetterGradez, and institutional settings. Specialized in adapting communication strategies to diverse student needs and learning styles.

AI & Data Analysis

Professional experience in AI content evaluation and data annotation with Scale AI and MindNT. Proficient in Python, data modeling using Tableau, and laboratory instrumentation including circuit analysis and spectroscopy.

Academic Excellence

Machine Learning95%
Python Programming90%
Statistical Analysis88%
Data Visualization85%

Education

Academic foundation in physics and mathematics

University of California, Berkeley
Bachelor of Arts in Physics
Summer 2023

Comprehensive physics education with focus on theoretical foundations and experimental methods.

Relevant Coursework:

Quantum Mechanics
Thermodynamics
Classical Mechanics
Electromagnetism
Instrumentation Lab
Scientific Computing
Statistical & Thermal Physics
Ventura College
Associate of Arts in Mathematics and Physics
Fall 2017

Strong foundational education in mathematics and physics, preparing for advanced studies at UC Berkeley.

Relevant Coursework:

Linear Algebra
Differential Equations
General Chemistry
Biology
Organic Chemistry
Multivariable Calculus
Intro to Engineering

Featured Projects

Cutting-edge research combining physics and machine learning

Electric Circuits and Instrumentation
Fall 2021

Designed and analyzed analog/digital circuits using oscilloscopes, function generators, and Multisim. Modeled sensor behavior and constructed amplifier circuits with impedance matching.

Circuit design and analysis
Signal-to-noise ratio calculations
Formal lab reports and presentations
Multisim
Python
Excel
Oscilloscopes
Gamma Ray Spectroscopy
Spring 2022

Calibrated NaI detectors with known radiation sources to identify energy peaks. Applied Gaussian fitting and statistical analysis to evaluate spectral resolution and detector efficiency.

Radiation source calibration (Cs-137, Co-60)
Gaussian fitting and statistical analysis
Peer-review presentations
NaI Detectors
Statistical Analysis
Gaussian Fitting
Optical Pumping of Rubidium Atoms
Summer 2022

Explored hyperfine structure in rubidium using magnetic fields and optical transitions. Automated data analysis in Python and calculated nuclear g-factors and relaxation times.

Lock-in amplifier data collection
Python automated analysis
Lab colloquium presentation
Python
Lock-in Amplifiers
Spectral Analysis
Double Pendulum Simulation
Fall 2022

Developed Python-based numerical solver using Runge-Kutta method to simulate chaotic motion. Demonstrated sensitivity to initial conditions and linked to classical chaos theory.

Runge-Kutta numerical method
Dynamic plotting and phase space
Chaotic motion analysis
Python
Runge-Kutta
Numerical Methods
Chaos Theory
Atomic Force Microscope Analysis
Spring 2023

Conducted nanoscale imaging using AFM to observe surface topology and mechanical behavior. Investigated surface roughness, adhesion forces, and sample stiffness.

Nanoscale surface imaging
Image analysis software
Material science applications
AFM Imaging
Surface Analysis
Material Science

Technical Skills

Comprehensive toolkit for data science and research

AI & Machine Learning
Generative AI & ML Libraries
Generative AI (LLMs)
Prompt Engineering
RLHF & Data Annotation
Model Evaluation
Supervised Learning
Pandas
NumPy
Scikit-learn
Matplotlib
Languages
Programming & Human Languages
Python
SQL
Java
R
C
Bash
LaTeX
JavaScript
Bilingual (English, Spanish)
Software & Cloud
Development & Cloud Tools
Git
REST APIs
Docker
AWS
CI/CD
Flask
Spring Boot
PyTest
MongoDB
Scientific Computing
Instrumentation & Analysis
MATLAB
Multisim
LabView
Numerical Methods (Runge-Kutta)
Signal Processing

Experience

Professional journey in AI and education

Freelance Tutor (Online and In-Person)
WyzAnt, BetterGradez, Homework Helper
Fall 2016 – Present
  • • Tutored Physics, Algebra, Precalculus, Statistics, Chemistry, and Calculus I–III
  • • Customized lessons to student goals, improving average test scores by 15–30%
  • • Developed asynchronous learning tools including solution videos, quizzes, and flashcards
  • • Coached students in problem-solving and self-advocacy skills across multiple learning styles
MindNT – STEM Content Evaluator
AI Content Evaluation
Fall 2022 – Fall 2024
  • • Evaluated large language model (LLM) outputs for correctness in STEM topics
  • • Assessed AI-generated content for clarity, logical structure, and educational effectiveness
  • • Labeled data and participated in annotation quality reviews for model fine-tuning
Scale AI – Math and Physics Annotator
Data Annotation & Machine Learning
Fall 2021 – Fall 2022
  • • Provided detailed mathematical annotations and problem explanations for machine learning datasets
  • • Reviewed and corrected AI-generated STEM solutions for logical consistency and academic accuracy
  • • Ensured alignment with grade-level standards for use in training and validation of educational models
A One Institute & Ignision Education
In-Person STEM Instructor
2023 – Present
  • • Delivered structured in-person lessons to middle and high school students in STEM disciplines
  • • Designed worksheets, diagnostic tests, and video-based feedback for concept reinforcement
  • • Monitored academic performance trends and held review sessions before major exams
Student Learning Center – UC Berkeley
Physics & Mathematics Tutor
Fall 2018 – Fall 2019
  • • Led one-on-one tutoring and small group sessions in physics and mathematics
  • • Provided supplemental instruction for students in large lecture-based physics courses
  • • Aligned lesson content with course syllabi and professor expectations

Let's Connect

Interested in collaborating on machine learning projects, quantum research, or AI applications? Let's discuss how we can work together.

© 2025 Angel Michel Yam. UC Berkeley Physics Graduate & Data Scientist.