09/14/2026 updated
100 % available
Specialist in Mathematics and Theoretical Physics combining domain knowledge, and numerical analysis
Helsinki, Finland
Only remote
Master degree in Theoretical Physics and Bachelor in MathematicsAbout me
Over 4 years of targeted academic support, problem design, and training undergraduate students with rigorous curricula in advanced mathematics and physics. Worked at expert-level applying rigorous scientific standards to RLHF, LLM alignment, and reasoning validation in English, Italian, and Finnish.
C (Programming Language)C Sharp (Programming Language)C++ (Programming Language)Computational PhysicsPython (Programming Language)Mathematical AnalysisMathematical ModelingMathematical OptimizationMathematical ProgrammingMathematical SciencesMathematical SoftwarePhysicsSQL DatabasesMath Functions
Mathematical Methods: Real and Complex Analysis, Differential Geometry and Tensor Analysis, Functional
Analysis, Hilbert Spaces, ODE’s and PDE’s, Stochastic Calculus, Discrete Mathematics, Lie Groups and Lie
Algebras, Dynamical Systems and Chaos Theory, Harmonic Analysis, Integral Equations.
Theoretical Physics: Quantum Mechanics and Quantum Field Theory, General Relativity and Gravitational
Physics, Hamiltonian Dynamics, Statistical Mechanics, Exactly Solvable Models, Electrodynamics and
Classical Physics.
Computational & Software: Python (NumPy, SciPy, SymPy, Matplotlib), C++ (Template Metaprogramming,
STL), C Programming, SQL and Relational Databases, LaTeX, XML and JSON, R for Statistical Modeling.
Analytical Techniques: Numerical Solutions of Nonlinear PDEs with Python, Finite Element and Finite
Difference Discretization, Monte Carlo Methods, Markov Chain Sampling, Perturbation Theory,
Bifurcation Analysis and Stability Analysis, Matrix Exponentials and Time Evolution Operator Computations.
Experience
Professional experience10+ years
Freelancer since2020
Languages
FinnishFluentEnglishFluentItalianNative speaker
Project history
Review and Quality Control: performed review of mathematical proofs, physical problems’ solutions, and code
implementations submitted by contributors to ensure technical accuracy and client’s specification alignment.
Problem Formulation & Reference Solutions: authored step-by-step solutions for advanced STEM problems
to create benchmark training and alignment datasets for Large Language Models.
LLM Error Analysis: evaluated model outputs for logical fallacies, false assumptions, or calculation errors
in multi steps physics and math problems.
Localization in Three Languages: proof read that the mathematical and physical responses provided by
the models, were correctly localized across English, Italian, and Finnish.
Numerical Modeling: implemented numerical algorithms in Python and R to model non linear dynamic
systems and compute physical simulations.
Applied Statistical Analysis: applied statistical modelling, regression analysis, and data analysis to solve data
heavy problems for client projects.
Algorithmic Optimization: worked on the optimization of computational workflows to streamline data
processing, execution speed, and numerical stability.
Undergraduate Students Tutoring: delivered targeted instruction in real analysis, linear algebra,
multivariable calculus, and classical mechanics for university engineering and physics students.
Problems and Exam Design: authored custom practice problems, evaluations, and step-by-step solutions
to build core analytical reasoning.
Proof Mastery: Guided students through rigorous mathematical proofs, physical derivations,
and problem-solving strategies to prepare for university examinations.