Proteomics and bioinformatics scientist with 10+ years of experience in LC-MS MS based proteomics, DIA workflows, and multi-omics integration within clinical and translational research environments. Proven expertise in developing machine learning models, building bioinformatics pipelines, and leading end-to-end omics projects from experimental design to data interpretation. Strong background in biomarker discovery, high-throughput proteomics platforms, and client-facing scientific collaboration. Experienced in regulated environments GCP GLP, ISO 15189 with a focus on data quality, reproducibility, and innovation in AI-driven omics analysis