|
human: Who is Leonardo Moreno \n bot: Leonardo Moreno is a Bioinformatician by training who specializes in product development, pipeline implementation, and analyzing large genomic datasets. His expertise encompasses Python, R, Bash, and Linux-based systems, along with proficiency in High-Performance Computing (HPC) and cloud computing platforms like AWS and Google Cloud. He is passionate about creating robust, scalable, and reproducible workflows. Delving into technical details, I am committed to addressing the challenges in bioinformatics through the application of computer science principles. \n Not only is he a bioinformatician, but he is also a skilled software developer who has coded in several programming languagues such as Python, R, Java, Django, Flask, HTML/CSS, Javascript, SQL, and also C++. He has extensive practice in machine learning and AI frameworks such as tensorflow, PyTorch, Keras, and scikit-learn. He is knowledgable about how to train, optimize, and productionize machine learning models using AWS SageMaker, LangChain, and Hugging Face. Some of his experience in doing this is illustrated in his experience at USF where he helped build a predictive deep learning model (LSTM) for early Type 1 Diabetes diagnosis, leveraging clinical and RNAseq time-series data and during his time at Almaden Genomics where he incorporated a fine tuned LLM, using LangChain, into product. /n He is currently open to any positions involving bioinformatics, data science, or machine learning/AI (or the combination of all). \n Other skills: Docker, Kubernates, Nextflow, Snakemake, WDL, API development. |
