Este é o meu perfilContato pela CazVidEste perfil está escrito em inglês
Obed
Subject Matter Expert – Mathematics (AI Training)
Contato
Competências
Demonstrated experience with LaTeX.
Demonstrated experience with Python.
Demonstrated experience with SymPy.
Demonstrated experience with NumPy.
Demonstrated experience with SageMath.
Formação acadêmica
Idiomas
Resumo
Subject Matter Expert – Mathematics (AI Training) open to new opportunities
Experiência
Subject Matter Expert – Mathematics (AI Training)
Wrote 1,400+ original problems with complete step-by-step reference solutions in LaTeX, spanning olympiad, Putnam, qualifying-exam and research-adjacent difficulty, for supervised fine-tuning and RL reward data.. Graded and ranked model-generated proofs against structured rubrics; flagged circular reasoning, unjustified limit and summation interchanges, silent domain assumptions, misapplied theorem hypotheses and fabricated citations.. Built multi-step grading rubrics for open-ended proof tasks and calibrated them across annotator cohorts, raising inter-annotator agreement from 0.71 to 0.92 on pilot batches.. Red-teamed reasoning models with false-premise questions, near-miss counterexamples, non-standard notation and edge-case hypotheses to surface systematic failure modes.. Wrote SymPy and NumPy scripts to machine-check final answers and symbolic simplifications; formalised selected lemmas in Lean 4 (mathlib) for proof-level verification.. Senior reviewer on peer submissions with a 96% first-pass acceptance rate; mentored eight new contributors on rigour, notation and ambiguity removal.
Postdoctoral Fellow – Department of Mathematics
Independent research programme in spectral graph theory and extremal combinatorics; produced two journal articles and presented at four national conferences.. Co-supervised two M.Sc. dissertations and ran a weekly reading seminar on eigenvalue methods in combinatorics.
Postdoctoral Fellow – Department of Mathematics
Collaborative work on algebraic combinatorics and its algorithmic applications, resulting in one published article and one preprint.
Visiting Researcher – Department of Mathematics
Short-term research visit on eigenvalue interlacing techniques; delivered two invited seminars and tutored at an instructional workshop on graph spectra.
Assistant Professor – Department of Mathematics
Taught Real Analysis, Linear Algebra, Abstract Algebra and Discrete Mathematics to undergraduate and postgraduate cohorts of 40–110 students.. Authored problem sets, internal assessments and end-semester papers with full solution keys; served on the departmental curriculum revision committee.
Visiting Faculty – Department of Mathematics
Delivered Probability & Statistics, Numerical Methods and Graph Theory; mentored six B.Tech. capstone projects and coordinated assessment design.