CV

Basics

Name Kaloyan Parvanov
Label Machine Learning Specialist
Email parvanovkaloyan@gmail.com
Phone 781-346-5802
Url https://www.kparvanov.com
Summary Machine Learning specialist with a strong background in Applied Mathematics and a proven ability to enhance AI model performance through meticulous data annotation. Consistently received top evaluator ratings (average 4.8/5) for quality and accuracy. Proficient in Python and ML frameworks; eager to drive innovation in AI and Data Science projects.

Work

  • 2024.07 - Present
    AI Training Specialist
    DataAnnotation & Outlier AI
    Freelance position enhancing AI models and collaborating with development teams.
    • Enhanced AI models by correcting coding and mathematical responses, improving accuracy and reliability.
    • Identified and rectified hallucinations in AI outputs, contributing to significant error rate reduction.
    • Consistently achieved high evaluator ratings (5/5 excellent 65% of the time) for quality and precision of annotations.
    • Collaborated with AI development teams to refine algorithms, leading to more precise AI solutions.
  • 2021.08 - 2024.05
    Graduate Teaching Assistant
    University of Colorado Boulder
    Assisted in teaching Calculus and Differential Equations courses.
    • Assisted in teaching Calculus and Differential Equations courses to over 100 students.
    • Developed and graded assignments, providing constructive feedback that enhanced student understanding and boosted exam performance.

Education

  • 2021.08 - 2024.05

    Boulder, CO

    M.S.
    University of Colorado Boulder
    Applied Mathematics
    • Data Science
    • Machine Learning
  • 2016.08 - 2020.05

    Lake Forest, IL

    B.A.
    Lake Forest College
    Mathematics, Economics

Skills

Programming Languages
Python
R
SQL
C++
JavaScript
Machine Learning Frameworks
TensorFlow
PyTorch
scikit-learn
Deep Learning
Neural Networks
NLP
Physics-Informed Neural Networks (PINNs)
Data Analysis
pandas
NumPy
SciPy
Data Visualization
Matplotlib
Seaborn
Power BI
Web Development
FastAPI
Next.js
Tools & Platforms
Git
Docker
LaTeX

Languages

English
Fluent
German
Fluent
Bulgarian
Fluent

Projects

  • 2024.08 - 2024.10
    Regime Shift Detection in S&P 500 Stocks
    Applied PCA and Sparse PCA to analyze regime shifts in S&P 500 stocks using high-frequency data.
    • Implemented full period and rolling window PCA analysis on 2-minute interval data for 457 S&P 500 stocks over 42 trading days.
    • Developed interactive visualizations to showcase sector-based PCA, correlation with ETF factors, and intraday pattern analysis.
    • Identified key market drivers and potential regime shifts, particularly around the September 2024 Fed rate cut.
  • 2024.08 - 2024.09
    MathBuddy: AI-Powered Math Tutor
    Full-stack AI tutor utilizing GPT-4 for interactions and GPT-3.5-Turbo for result extraction and difficulty estimation.
    • Engineered a full-stack AI tutor utilized by over 200 users.
    • Implemented serverless architecture with Next.js frontend and FastAPI backend, integrating OpenAI and Wolfram Alpha APIs to enhance problem-solving capabilities.
  • 2024.06 - 2024.06
    Tic-Tac-Toe with Alpha-Beta Pruning
    Tic-Tac-Toe game featuring an AI opponent using the Alpha-Beta Pruning Minimax algorithm.
    • Developed a Tic-Tac-Toe game featuring an AI opponent using the Alpha-Beta Pruning Minimax algorithm.
    • Improved AI decision-making speed by 40% by reducing evaluated nodes, enhancing gameplay experience.
  • 2023.10 - 2023.12
    ODE Solution via PINNs
    Solved the damped unforced pendulum problem using Physics-Informed Neural Networks.
    • Solved the damped unforced pendulum problem using Physics-Informed Neural Networks, demonstrating effectiveness in complex ODEs.
    • Achieved 15% higher accuracy compared to traditional numerical methods, validating the potential of PINNs in solving differential equations.