Bradley (Phd) C.
Prompt Engineer & AI Ethics Specialist (Mathematics and Quantitative Domains)
Experience
Feb 2024 - May 2025
1 year 4 monthsPrompt Engineer & AI Ethics Specialist (Mathematics and Quantitative Domains)
Scale AI
- Engineered, tested, and refined prompts to optimize LLM reasoning accuracy in mathematical, financial, and scientific contexts.
- Annotate and review mathematical datasets, ensuring accuracy and compliance with project guidelines.
- Evaluated AI-generated responses for ethical compliance, factual reliability, bias mitigation, and logical soundness.
- Designed human-in-the-loop feedback loops to strengthen model transparency, fairness, and truthfulness.
- Create, evaluate, and refine data used for AI model training, focusing on calculus and algebra content.
- Adapt writing style to meet various customer requirements and project needs.
- Collaborate with interdisciplinary teams to provide insights on mathematical content and enhance data quality.
- Collaborated with cross-functional teams on prompt design strategies aligned with responsible AI and interpretability standards.
- Authored documentation and guidelines promoting ethical prompt engineering practices and model auditability.
Jan 2024 - Present
1 year 11 monthsAustin, United States
Professor of Mathematics & Curriculum Innovation Chair
University of Texas at Austin
- Lead undergraduate and graduate instruction in real analysis, numerical methods, applied statistics, and computational modeling.
- Chair the Mathematics Curriculum Innovation Committee, developing hybrid learning models that integrate theoretical mathematics with real-world applications in finance, manufacturing, and AI.
- Supervise 8 PhD candidates and 15 master’s students, guiding them through applied research projects in optimization and data science.
- Initiated Mathematics in Industry seminar series, resulting in collaborations with 5 corporations and 2 research institutes.
Sep 2022 - Aug 2023
1 yearData Annotator & Quality Assurance Specialist
Outlier
- Annotated and validated complex datasets in mathematics, finance, and logical reasoning domains for LLM fine-tuning.
- Applied domain expertise in optimization and operations research to ensure annotation accuracy, consistency, and relevance.
- Conducted quality assurance audits and provided performance feedback to improve labelling workflows and model understanding.
- Collaborated with AI researchers to refine task guidelines for mathematical reasoning and code evaluation.
Feb 2022 - Dec 2023
1 year 11 monthsLexington, United States
Research Scientist and Data Analyst
MIT Lincoln Laboratory
- Leading simulation-based optimization projects in aerospace logistics and defense systems.
- Developed algorithms for discrete-event simulation, reducing computational overhead by 35%.
- Published findings in SIAM Journal on Applied Mathematics.
Jun 2021 - Sep 2022
1 year 4 monthsAI Research Fellow (Master Level) (Mathematical Reasoning)
OpenAI
- Built and annotated mathematical datasets for training LLMs in symbolic reasoning and problem solving.
- Led design of problem-solving workflows in optimization, probability, and number theory.
- reviewed AI-generated proofs and structured feedback loops to refine neural reasoning capabilities.
Aug 2020 - Jan 2022
1 year 6 monthsAtlanta, United States
Data Scientist and Computational Mathematics Specialist
Emory University – Department of Mathematics
- Specialized in developing and implementing computational algorithms to address complex mathematical problems in various scientific domains.
- Provided expertise in numerical analysis, data modeling, and simulation techniques to support faculty and student research projects.
- Conducted workshops and seminars to educate students and staff on computational tools and methodologies pertinent to mathematical research.
- Collaborated with academic departments to integrate computational approaches into the mathematics curriculum, enhancing students' analytical skills.
- Maintained and updated computational resources, including software and hardware, to ensure optimal performance for research and educational activities.
Jul 2020 - Feb 2021
8 monthsAI Ethics Expert & Response Reviewer (STEM Mathematics/Quantitative)
Scale AI
- Reviewed and audited LLM-generated content for safety, bias, hallucination, and factual correctness within scientific and mathematical domains.
- Led ethics compliance assessments focusing on fairness and truthfulness of AI outputs across finance, logic, and applied science contexts.
- Flagged and corrected ambiguous or misleading outputs, improving model safety layers through human-in-the-loop training.
- Participated in internal forums on model alignment, transparency, and responsible AI development.
Jun 2019 - Aug 2020
1 year 3 monthsCambridge, United States
Mathematics Curriculum Developer
Massachusetts Institute of Technology
- Designed content for advanced mathematics and data science courses, including interactive problem sets.
- Worked with content leads to align learning modules with university-level STEM standards.
- Created visualizations and simulations for better conceptual engagement.
- Led post-graduate initiative to modernize computational mathematics curriculum for graduate-level courses.
- Incorporated MATLAB, Python, and R-based projects into course modules, improving applied skill competency scores by 20%.
- Developed industry-oriented project modules in collaboration with tech and engineering firms.
May 2019 - May 2020
1 year 1 monthPrompt Engineer (AI Evaluation & Instruction Design – STEM & Quantitative Reasoning)
Scale AI
- Designed, optimized, and stress-tested prompts for large language models in mathematics, logic, and quantitative analysis tasks.
- Developed structured evaluation rubrics to measure factual accuracy, reasoning validity, and interpretive precision in model outputs.
- Collaborated with AI researchers to refine prompt-response pairs, enhancing contextual reliability and minimizing hallucinations.
- Conducted A/B testing of prompt strategies to improve clarity, domain coverage, and alignment with ethical AI standards.
Aug 2018 - May 2019
10 monthsCambridge, United States
Lecturer in Mathematics and Statistics
MIT Department of Mathematics
- Taught undergraduate and graduate-level courses in Linear Algebra, Probability, and Optimization.
- Mentored over 50 students in applied research projects, several of which were published or presented at SIAM.
- Received the Dean’s Teaching Excellence Award in 2021.
Dec 2017 - Aug 2018
9 monthsPrinceton, United States
Mathematics Education Training Specialist
Princeton University
- Designed faculty training programs on active learning, flipped classrooms, and digital instructional tools for mathematics education.
- Led annual Mathematics Teaching Excellence Symposium attended by over 120 educators from across the U.S.
- Introduced data-driven teaching evaluation frameworks, improving student performance in targeted courses by 18%.
May 2017 - Dec 2017
8 monthsMountain View, United States
Data Science Specialist
Google AI
- Contributed to the development of scalable models for A/B testing using Bayesian methods.
- Automated large-scale anomaly detection using time-series decomposition.
- Presented findings to Google’s Applied Science leadership team.
Aug 2016 - Apr 2017
9 monthsNew York, United States
Industrial Mathematics Consultant (Optimization & Analytics)
McKinsey & Company
- Designed and implemented optimization models for supply chain efficiency in logistics and energy.
- Modeled pricing strategies and performed Monte Carlo simulations for retail clients.
- Contributed to proprietary tools for network design and inventory optimization.
Aug 2015 - Aug 2016
1 year 1 monthPrinceton, United States
Mathematics Lecturer & Research Fellow
Princeton University
- Taught advanced undergraduate and graduate mathematics with a focus on applied problem-solving and computational techniques.
- Published 3 peer-reviewed papers on stochastic processes, industrial optimization, and combinatorial modeling.
- Designed interdisciplinary graduate seminars linking mathematics with economics, engineering, and data science.
Jan 2014 - Aug 2015
1 year 8 monthsSchenectady, United States
Assistant Research Mathematician – Computational Modeling Unit
General Electric Global Research
- Built finite element and simulation models for turbine manufacturing, achieving a 12% reduction in material waste.
- Developed predictive maintenance algorithms that reduced downtime by 9% across monitored equipment.
- Collaborated with engineers to automate quality control checks, integrating mathematical models with IoT sensor data.
Sep 2013 - Dec 2013
4 monthsNew York, United States
Banking Risk Analytics Consultant
Goldman Sachs
- Created Monte Carlo simulation framework to estimate credit default probabilities under stress-test scenarios.
- Optimized portfolio risk allocation for fixed-income assets, contributing to a 5% improvement in VaR performance.
- Presented technical findings to senior risk committees and compliance regulators.
Jun 2012 - Aug 2013
1 year 3 monthsPeoria, United States
Operations Research Analyst – Manufacturing Sector
Caterpillar Inc.
- Designed production scheduling algorithms that reduced bottlenecks in high-demand product lines.
- Performed time-series and queuing theory analyses to improve machine utilization efficiency.
Sep 2011 - May 2012
9 monthsNew York, United States
Graduate Research Assistant, Centre for Financial Engineering
Columbia University
- Modeled exotic derivatives using finite difference and binomial tree methods.
- Conducted independent research on robust portfolio optimization under model uncertainty.
- Co-authored a working paper on volatility clustering in algorithmic trading.
Jul 2011 - Dec 2011
6 monthsNew York, United States
Actuarial Analyst Intern
MetLife
- Conducted risk modeling and reserve valuation using VBA and R.
- Supported product pricing analysis for life insurance policies.
- Prepared internal reports and regulatory filings under the supervision of credentialed actuaries.
Sep 2010 - May 2011
9 monthsNew Haven, United States
Undergraduate Research Assistant, Department of Mathematics
Yale University
- Studied ergodic theory and combinatorial number theory under Prof. Roger Howe.
- Presented at the Joint Mathematics Meetings (AMS-MAA) in 2018.
- Co-authored a paper on Diophantine approximations.
Summary
An accomplished mathematician, educator, and industry consultant with deep expertise spanning pure and applied mathematics, computational modeling, and mathematics education.
Holding a PhD in Pure and Applied Mathematics, combining rigorous academic credentials with practical experience in both research and applied industry contexts.
Taught at multiple levels, and a leader in curriculum innovation and educational training, notably serving as a Mathematics Education Training Specialist at Princeton University.
Has impactful roles in the manufacturing technology and banking sectors, leveraging advanced analytics, LLM training, algorithm development, and optimization techniques to improve operational efficiency and financial decision-making.
Adept at designing complex models, solving large-scale optimization problems, and translating mathematical theory into real-world impact.
Highly proficient in developing algorithms, managing cross-functional research, and mentoring students and professionals.
Languages
German
NativeEnglish
NativeFrench
AdvancedEducation
Oct 2017 - Jun 2019
Princeton University
PhD, Pure and Applied Mathematics · Pure and Applied Mathematics · Princeton, United States
Oct 2012 - Jun 2015
Columbia University
Master of Science in Computational Mathematics, Numerical Modelling, Network Optimization, Financial Mathematics · Computational Mathematics · New York, United States
Oct 2008 - Jun 2011
Yale University
Bachelor of Science in Mathematical Engineering · Mathematical Engineering · New Haven, United States · Magna Cum Laude
...and 1 more
Certifications & licenses
Certificate In Machine Learning
Stanford Online
Python For Data Science Specialization
Coursera
Certified Analytics Professional
INFORMS
SOA Exams P, FM, IFM
Actuarial
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