Harman Bhutani is a software engineer with 11 years of experience blending software development, data science, and applied machine learning across finance and academia. Currently at Goldman Sachs, he has previously built scalable data science environments at Morgan Stanley and developed end-to-end ML solutions and cloud-hosted apps in research and startup settings. He brings hands-on expertise in Python, TensorFlow/Keras, OpenCV, PostgreSQL, and full-stack stacks (MEAN/React) with production experience deploying models and mobile apps to AWS and app stores. As a graduate of University of Ottawa’s applied data science program, he has taught and mentored students in statistics, architecture, and programming paradigms, translating complex concepts into practical systems. Beyond core engineering, he’s published technical articles and co-founded a college startup, demonstrating an entrepreneurial drive and an ability to communicate technical ideas to broad audiences. A less obvious strength: he pairs model development with product-minded deployment, having built personalized ECG prediction models for wearables and shipped hybrid mobile apps as proof-of-concept products.
11 years of coding experience
8 years of employment as a software developer
Master's degree, DTI with Concentration in Applied Data Science, Master's degree, DTI with Concentration in Applied Data Science at University of Ottawa
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Guru Nanak Dev Engineering College, Ludhiana
Contributions:5 commits, 3 pushes, 1 branch in 2 years 8 months
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Harman Bhutani - Software Engineer at Goldman Sachs