Harsh Jalan

Senior Machine Learning Engineer at Scry AI

San Jose, California, United States
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Summary

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Senior
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Top School
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.
code9 years of coding experience
job6 years of employment as a software developer
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Southern California
bookBachelor of Engineering - BE, Computer Engineering, 9.23 CGPA, Bachelor of Engineering - BE, Computer Engineering, 9.23 CGPA at University of Mumbai
book12th, science, 86.15%, 12th, science, 86.15% at pace junior science college
book10th, science, 95%, 10th, science, 95% at Gokuldham High School and jr. college
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Github Skills (75)

python10
vector-database10
fine-tuning10
nlp10
application10
nvidia10
natural-language-processing10
pytorch10
llm10
gpt9
transformer9
deep-learning9
machine-learning9
bert9
sequence9

Programming languages (4)

C#C++GoPython

Github contributions (5)

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Agent which learns to navigate a perfect maze.
Contributions:7 commits, 2 PRs, 5 pushes in 1 day
pythonagentreinforcement-learningnavigateperfect
HJJ256/HAMi

Jan 2025 - Jan 2025

Heterogeneous AI Computing Virtualization Middleware
Contributions:2 PRs, 9 pushes in 1 day
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