Summary
Sachin Rana is a Machine Learning Engineer with nine years of cross-industry experience applying ML and deep learning to identity verification, recommendations, energy, and pharma problems. Currently at Block (Cash App), he led end-to-end deployment of models that blocked 40% of fake accounts at >90% precision, filed a patent on noisy string entity resolution, and helped introduce graph neural nets and deep Bayesian bandits into risk and ads systems. He holds a fast-tracked PhD in applied ML for energy, published research on geostatistics and history matching, and finishes projects end-to-end—from model calibration and production tooling to labeling workflows and stakeholder alignment with product, legal, and compliance. A polyglot coder comfortable with Python, R, Docker, TensorFlow/PyTorch and distributed/cloud environments, Sachin blends research rigor with production impact and a penchant for mentoring and hiring strong ML talent. An early Visual Basic hobbyist turned researcher-practitioner, he often bridges domain expertise in petroleum and geosciences with modern ML techniques.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering, Chemical Engineering, Bachelor of Engineering, Chemical Engineering at Maharshi Dayanand University
Master's degree, Petroleum Engineering, Master's degree, Petroleum Engineering at Penn State University
Hindi, English, Punjabi, Urdu