Harsh Jalan is a Senior Machine Learning Engineer based in San Jose with 9 years of experience and over four years focused on building large-scale ML systems for document intelligence and multimodal products. At Scry AI he progressed from intern to senior engineer, shipping Transformer-based document layout and financial-spreading features for the Collatio product and building robust inference engines in production. His background spans applied research—YOLOv5 and small-object detection for urban analytics at USC—to practical NLP and speech systems (RASA, Wav2Vec) for Indian languages, showing a rare mix of academic rigor and product delivery. Comfortable across Python, PyTorch, Docker and AWS, he combines model innovation with deployment-minded engineering and experiment design. Notably, he has translated research prototypes into customer-facing features, reflecting a talent for turning complex multimodal models into usable products.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Southern California
Bachelor of Engineering - BE, Computer Engineering, 9.23 CGPA, Bachelor of Engineering - BE, Computer Engineering, 9.23 CGPA at University of Mumbai
12th, science, 86.15%, 12th, science, 86.15% at pace junior science college
10th, science, 95%, 10th, science, 95% at Gokuldham High School and jr. college
Heterogeneous AI Computing Virtualization Middleware
Contributions:2 PRs, 9 pushes in 1 day
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