Hire this AI Trainer
Sign in or create an account to invite AI Trainers to your job.
CrowdSourceData Annotation TechDeep SystemsOpenCV AI Kit (OAK)No subject matter listed
Computer Code Programming
Document
ImageI have a strong interdisciplinary background in biology, molecular science, and software engineering, with hands-on experience in training and evaluating AI models across scientific domains. My work has included developing machine learning models such as CNNs, RNNs, and LLMs for complex datasets, as well as creating tools to automate and analyze biomedical data, including microscopy images and mass spectrometry outputs. This has given me a deep understanding of high-quality data annotation, preprocessing, and validation, especially in research and healthcare contexts. My technical skills include Python, SQL, and data visualization tools like Plotly and Tableau, as well as bioinformatics libraries such as Biopython and OpenCV. I have contributed to AI training workflows by labeling domain-specific data, fine-tuning models, and designing custom pipelines for tasks like image classification and scientific text processing. With a strong eye for data integrity and a foundation in both science and software, I bring precision and adaptability to AI training and data labeling projects.
Analyzed mass spectrometry files and segmented data to develop an application to automate analysis workflow.
Created an LLM model to determine the best AI model to target certain prompts.
Analyzed the impact of chemotherapy drugs on treated tumor cells to train a neural network model to predict drug toxicity.
Master of Science, Molecular Science And Software Engineering
Bachelor of Science, Biology
Cheminformatics Consultant
Environmental Restoration Intern
