Dipam Vasani
Machine Learning Engineer III at DocuSign
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolDipam Vasani is a Machine Learning Engineer III based in San Francisco with a decade of experience designing and shipping production ML systems, currently advancing document intelligence at DocuSign. He blends applied deep learning and NLP—having improved auto-tagging pipelines with Faster R-CNN, custom embeddings, and ONNX-optimized inference—to deliver measurable accuracy and latency gains. A self-taught deep learning practitioner who co-founded a startup (Deep Word) and writes technical pieces on Medium, he pairs hands-on model development with product-minded deployment (Docker, Flask, Gradio). His background spans medical imaging internships to end-to-end ML product work, and he holds a Master’s in Data Science from Indiana University Bloomington. Notably, he focuses on pragmatic speed-accuracy tradeoffs in real systems, converting research ideas into deployable features.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at Indiana University BloomingtonBachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Dwarkadas J. Sanghvi College of Engineering
English, Hindi, Marathi, Gujarati
Github Skills (66)
multilabel-classification10
benchmark10
neural-search10
python10
autocomplete10
semantic-search10
deep-learning10
speech10
bug-reporting10
embedding10
clustering10
ai10
lightning10
sentence-embeddings10
artificial-intelligence10
Programming languages (4)
Github contributions (5)
dipam7/mteb
Apr 2024 - May 2024
MTEB: Massive Text Embedding Benchmark
Contributions:40 pushes, 8 branches in 23 days
dipam7/streamlit_samples
Aug 2020 - May 2021
Contributions:27 commits, 23 pushes, 1 branch in 8 months
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