Mieszko B.

Key Skills

Software

Mindrift

Top Subject Matter

Advanced STEM and mathematics (proof verification, LLM output validation)

Olympiad mathematics (proof evaluation and reasoning feedback)

University algebra (proof writing and grading)

Top Data Types

Text

Top Task Types

Question Answering

Freelancer Overview

Computationally Intensive STEM AI Trainer (AI solution evaluation and proof-based feedback) at Mindrift. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Mindrift, N, and A. Education includes Doctor of Philosophy, University of Warsaw (2023) and Master of Arts, University of Warsaw (2023). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Question Answering.

Labeling Experience

Computationally Intensive STEM AI Trainer (AI solution evaluation and proof-based feedback) at Mindrift

MindriftText

Evaluated AI-generated solutions to advanced STEM and mathematics problems for correctness, logical consistency, attention to detail, and reasoning quality. Verified model outputs against rigorous proof expectations and identified subtle errors or invalid implications. Produced corrected step-by-step solutions and expert feedback suitable for mathematics training and LLM evaluation workflows. • Checked reasoning quality and logical consistency in advance mathematical arguments • Authored and reviewed expert prompts and problem designs emphasizing rigorous reasoning and computation where useful • Repaired flawed solutions with clear mathematical language and LaTeX-style formatting • Used Python-supported computational checks (NumPy/SciPy/pandas) to support verification when appropriate

2026 - 2026

University Teaching - Linear Algebra at University of Warsaw

TextQuestion Answering

Led university-level linear algebra classes with a focus on proof-based problem solving. Prepared and assessed exercises covering core linear algebra topics such as vector spaces, linear maps, matrices, eigenvalues, diagonalization, bilinear forms, and canonical forms. Provided evaluation support that emphasized rigor, logical consistency, and correct solution structure. • Prepared and assessed proof-focused linear algebra exercises • Supported students in constructing correct arguments for standard results • Covered vector spaces, linear maps, matrices, and spectral concepts • Assessed solutions for logical validity and completeness

2025 - 2026

University Teaching - Algebra at University of Warsaw

TextQuestion Answering

Provided instructional guidance for university algebra problem sessions centered on rigorous proof writing. Graded written solutions and supported students by clarifying reasoning gaps in abstract algebra constructions. Prepared and reviewed exercise materials that functioned as evaluation and feedback inputs for learning workflows. • Taught algebra topics with emphasis on theorem-style proof structure • Supported problems involving groups, rings, fields, homomorphisms, and quotients • Graded written work and explained reasoning deficiencies with precise feedback • Enabled structured learning assessments using proof-based expectations

2024 - 2025

University Teaching - Linear Algebra at University of Warsaw

TextQuestion Answering

Delivered undergraduate linear algebra problem sessions and feedback focused on correct mathematical reasoning. Graded written solutions and explained gaps in reasoning with precise mathematical feedback. Supported students with proof-based problem-solving practices aligned with course evaluation. • Facilitated problem sessions and provided detailed feedback • Graded written solutions for logical correctness • Highlighted and explained reasoning gaps and missing steps • Reinforced rigorous proof-based approaches for learning

2023 - 2024

Olympiad Paper Grading / Assessment at University of Warsaw / Polish Academy of Sciences

Text

Assessed olympiad-level mathematical solutions for correctness, rigor, originality, and completeness. Reviewed proof-based arguments to identify gaps in reasoning and required additional justification. Delivered structured written assessment feedback focused on improving proof quality for training and evaluation purposes. • Evaluated advanced mathematical arguments for validity and completeness • Identified gaps and weaknesses in logical structure of candidate solutions • Provided structured feedback for proof-based problem solving • Supported an olympiad assessment workflow emphasizing rigor and attention to detail

2020 - 2023

Education

Work History