Summary
Shalabh Thakur is a Sr. Staff Data Engineer specializing in Pharma 4.0 with nine years of experience turning complex, regulated biological data into production-ready data and AI platforms. He has built and scaled ETL/ELT pipelines and feature extraction workflows on AWS for large genomics and oncology datasets, enabling ML-driven drug target prediction and supporting executive decision-making through BI dashboards. His background blends a PhD in bioinformatics and hands-on data engineering, giving him deep domain expertise in sequencing data, comparative genomics, and high-throughput pipelines. Shalabh has led cross-functional collaborations across research, clinical, legal, and vendor teams, authored research publications tied to production projects, and mentored interns evaluating BI tooling at enterprise scale. He’s comfortable bridging research-grade analysis and robust, auditable production systems—an asset in regulated pharma environments where data provenance and reproducibility matter. Based in Toronto, he pairs academic rigor with practical cloud-native engineering to accelerate biotech productization.
9 years of coding experience
5 years of employment as a software developer
B.Sc, Bioinformatics, B.Sc, Bioinformatics at Sardar Patel University, Vallabh Vidyanagar
Certificate Program, Applied Machine Learning, Certificate Program, Applied Machine Learning at WeCloudData
Doctor of Philosophy - Ph.D., Bioinformatics, Data analysis, Database Management, Comparative Genomic, Evolution, Sequencing data, Doctor of Philosophy - Ph.D., Bioinformatics, Data analysis, Database Management, Comparative Genomic, Evolution, Sequencing data at University of Toronto