Meena S.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Organic chemistry and chemical engineering training content

Computational chemistry and molecular simulation

Computational chemistry education and assessment frameworks

Top Data Types

Document

Text

Top Task Types

Question Answering

Data Collection

Freelancer Overview

Technical Consultant & Scientific Trainer — Bit Control Solutions (BCS). Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Don't disclose. Education includes Doctor of Philosophy, Institute of Chemical Technology (UDCT) (2017) and Master of Science, Pune University (2010). AI-training focus includes data types such as Document and labeling workflows including Evaluation, Rating, and Question Answering.

Labeling Experience

Technical Consultant & Scientific Trainer — Bit Control Solutions (BCS)

Document

Designed and delivered structured AI-training-oriented curricula by translating advanced computational concepts into scaffolded learning materials suitable for expert model training. Produced detailed technical documentation, problem sets, and assessment frameworks emphasizing precision and reproducibility. Conducted editorial reviews of scientific content by identifying ambiguities, logical gaps, and inaccuracies to support quality control for training datasets. • Created learning materials and assessment frameworks for scientific workflows • Performed editorial review to flag errors and inconsistencies in domain content • Produced problem sets and technical documentation as training inputs • Focused on conceptual depth, precision, and reproducibility for downstream AI training

2022 - Present

Visiting Fellow — Homi Bhabha Centre for Science Education (HBCSE)

OtherDocument

Developed instructional problem sets, instructional scenarios, and evaluation frameworks for computational chemistry education. Performed editorial quality reviews for scientific learning materials to improve clarity and correctness. Delivered national workshops focused on structuring complex domain knowledge for non-specialist communication. • Created problem sets and instructional scenarios for computational chemistry • Built evaluation frameworks for educational content • Conducted editorial quality review of learning materials • Trained educators and learners via national workshops

2021 - 2022

Postdoctoral Researcher — University of California, Riverside

Don't discloseDocumentQuestion Answering

Conducted computational chemistry research producing technical reports and writing that required expert-level scientific documentation. Designed complex, multi-variable simulation problems that validated domain knowledge, analogous to constructing challenging benchmark questions for model evaluation. Collaborated with interdisciplinary teams to communicate technical findings clearly and accurately for diverse audiences. • Generated expert scientific outputs used as reference training/benchmark materials • Designed multi-variable simulation problems requiring domain validation • Authored precise technical reports and documentation • Communicated complex scientific findings across disciplines

2019 - 2020

Researcher — IIT Bombay

Don't discloseDocumentData Collection

Designed high-throughput computational experiments in materials science and chemical engineering with emphasis on reproducible workflows. Authored SOPs, datasets, and technical documentation intended for repeatable scientific execution. This work supports the creation of structured reference data and consistent instructions for downstream training or evaluation of expert systems. • Produced SOPs for reproducible computational workflows • Authored datasets and supporting technical documentation • Ensured experimental procedures were structured and repeatable • Focused on workflow reproducibility and accurate documentation

2017 - 2019

Education

Work History