Jodh Singh
Applied ML Engineer at fal
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolJodh Singh is an Applied ML Engineer with 9 years of experience building production-ready ML and backend systems, currently focusing on low-latency inference at fal after leading image-generation workflow work at Picturestudio.ai. He combines deep practical skills in computer vision and model deployment with full-stack engineering experience—Django, React/TypeScript, GraphQL, AWS and Kubernetes—gained across startups and internships. Jodh has a track record of squeezing latency and improving robustness (e.g., CV pipelines with sub-100ms inference and OCR/recognition systems deployed in constrained environments). He holds an MS in Computer Science from Rutgers and a Udacity ML nanodegree, and often bridges research-grade models to scalable services. A detail that stands out: he has moved seamlessly between designing backend data flows (catalogs, subscription and payment services) and optimizing ML inference, making him especially effective at end-to-end ML productization.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Rutgers University–New BrunswickBachelor of Technology Computer Science, Bachelor of Technology Computer Science at Maharaja Agrasen Institute Of Technology, DelhiNanodegree Machine Learning, Nanodegree Machine Learning at Udacity
Stackoverflow
384reputation
22kreached
11answers
7questions
Github Skills (135)
knock10
python10
windows10
command-line-interface10
code-analysis10
gradio10
deep-learning10
image-generation10
linting10
adaptation10
linux10
sdk10
ai10
neural-network10
nlp10
Programming languages (9)
Github contributions (5)
jetjodh/urban_sound
Mar 2019 - Sep 2019
Contributions:14 commits, 13 pushes, 1 branch in 6 months
jetjodh/midas
Apr 2020 - Apr 2024
Hiring task for MIDAS
Contributions:2 PRs, 20 pushes, 1 branch in 4 years
hiringmidas
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