Martin C.

Key Skills

Software

Other

Data Annotation Tech

Google Cloud Vertex AI

Top Subject Matter

LLM evaluation

prompt engineering for scientific/technical domains

Clinical/regulatory NLP

Top Data Types

Text

Image

Video

Top Task Types

Bounding Box

Segmentation

Classification

Polyline

RLHF

Text Summarization

Red Teaming

Evaluation/Rating

Computer Programming/Coding

Freelancer Overview

Lead Data Scientist (AI/ML research and LLM evaluation). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Doctor of Philosophy, University of Connecticut (2021) and Bachelor of Arts, Dartmouth College (2015). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Lead Data Scientist (AI/ML research and LLM evaluation)

Text

Served as a Lead Data Scientist guiding AI/ML research that evaluates LLM-driven workflows against domain-specific quality requirements. Focused on assessing model outputs for accuracy, reasoning quality, and reliability, and translating findings into improved prompt strategies and team guidance. Designed and executed prompt engineering approaches for specialized scientific and technical domains. • Evaluated LLM outputs to meet accuracy and reasoning standards • Developed prompt engineering strategies for scientific/technical domains • Guided teams on adopting and evaluating LLM techniques • Presented research findings and contributed to ML best practices

2024 - Present

Data Scientist (LLM/NLP pipeline design and evaluation)

OtherText

Worked as a Data Scientist applying LLMs and NLP pipelines to mine, map, and extract information from regulatory and scientific documents for domain decision support. Performed evaluation of output quality and accuracy against domain ground truth while building transformer-based semantic maps and prompt-based extraction systems. Contributed to data quality assessment and integration of synthesized outputs into company data systems. • Designed and evaluated NLP pipelines for regulatory document mining • Built transformer-based semantic maps for drug label content • Developed prompt-based and NLP-driven insight extraction from biomarker/multi-omics data • Scraped, parsed, synthesized reports and evaluated data quality

2021 - 2024

Education

Work History