Madrid, Community of Madrid, Spain
I am an Engineer-Researcher and Data Scientist with bachelors degree in Biomedical Engineering, 3rd year PhD student of Computational Data Science with over 4 years experience in applied Data Science. My goal is to provide precise analysis and reliable algorithms based on modern breakthroughs in Machine and Deep Learning, as well as comprehensible visualizations of complex data.
- Developing LLM-based code assistants that improve developers writing speed and overall satisfaction - Improving text2QL models via RAG and building custom heads
- Lead a team of 3 data scientists to develop unique text visualization tool - Improved internal search engine by developing NLP system which expanded word coverage by ten-fold - Applied noun-phrase and coreference resolution for possible cycles in syntax graph to further improve text visualization
- Implemented ML algorithm to speed up field of view (FoV) assessment via VR by 10% - Developed metrics for comparative study of diagnostic accuracy of the prototype device
- Improved data preprocessing and visualization pipeline by switching to Python scripts, which led to a decrease in the amount of time spent on data analysis by 30%. - Actively managed and monitored an ever-growing database of over 10,000 experimental recordings for three teams of research scientists, resulting in a more efficient workflow and increased productivity - Automated the preprocessing of experiment participants' questionnaires, reducing the amount of time spent on this task by 50%
- Performed full-cycle research (from experiment design and execution to data processing, statistical analysis and visualizations) on electroacoustic impedance of biological tissues that led to over 10 publications in peer-reviewed journals and conferences - Tested low-frequency stimulation device that helped to increase acoustic payload by 10% - Negotiated faster approval from ethical committee that sped up the experiments by up to 6 months