Work History
I'm a Generative AI Engineer that loves automating my life and models that can impact people&aposs lives
June 2024 - Present
Sizzle
Generative AI Engineer
Actualizing the full pipeline for data processing, model training, and deployment of nutritional factors and macro nutrients for any given recipe.
Integrated AI solutions into Google Cloud services using VertexAI to streamline operations.
Improved data analysis capabilities from custom REST API endpoints, resulting in an easily scalable solution.
August 2022 - Present
Upwork, Fiverr
AI/ML Freelancer
Developing and deploying custom AI/ML models for various clients.
Improved business processes and outcomes using both open-source and paid LLMs, resulting in an average efficiency increase of 25%.
Engineered end-to-end MLOps solutions, including CI/CD pipelines, model monitoring, and infrastructure automation, attaining a 98% customer satisfaction rate.
Collaborated with cross-functional teams to integrate AI solutions into existing systems, enhancing overall efficiency and functionality, reducing operational costs by up to 20%.
May 2020 - August 2021
Joint Genome Institute
Bio-Informatics Data Analyst
Utilized R with a cross-functional team of researchers to construct workflows for genetic homology comparison.
Slashed processing time by 90%.
Constructed a model based on plant species datasets for microbial interactions, achieving 98% accuracy.
Created and optimized genome reference pipelines, decreasing processing time from 4 hours to 10 minutes.
Showcased and presented technologies to over 1000 end clients and senior leadership members in yearly user meeting.
January 2020 - May 2021
Vice Lab
Research Scientist
Devised and performed Bash scripts to run hydro-power models on a proprietary supercomputer.
Achieved a 50% reduction in processing time through asynchronous execution deployed with Slurm.
Drove creation of a data visualization web application for hydro power models operated with Vue.js, increasing user engagement by 25% and improving data interpretation.
Optimized model implementation and resolved bottlenecks using Cython, further cutting down execution time by 20%.