Summary
Minesh J is a Full Stack Data Scientist and Cloud Solution Architect with a decade of experience blending competitive machine learning, quantitative research and biomedical bioinformatics. Currently leading applied research in sequence modeling, DSP and deep learning for Biomedical IoT, NLP and supply chain at a stealth startup, he is also a 3x Kaggle Expert known for top-percent finishes across diverse competitions from toxic comment classification to geospatial forecasting. His background includes PhD-level cancer genomics and transcriptomics research, Azure data science architecture for non-invasive cardiac monitoring, and hands-on MLOps, AutoML and cloud pipeline design. Comfortable across Python, R, PySpark, Java and SQL, he pairs strong signal-processing and time-series expertise with practical productization skills. An unusual combination of competitive ML pedigree and academic bioinformatics gives him a track record of translating complex sequence and sensor data into deployable solutions in fintech, energy and healthcare.
10 years of coding experience
10 years of employment as a software developer
Bioinformatics Research Student Biomathematics Bioinformatics and Computational Biology, Bioinformatics Research Student Biomathematics Bioinformatics and Computational Biology at National Institute Of Virology - India
PhD Researcher for Bioinformatics Cancer Immunology and Precision Medicine, PhD Researcher for Bioinformatics Cancer Immunology and Precision Medicine at Ben-Gurion University of the Negev