Chinmay Singhal
Machine Learning Scientist at MD.ai
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolChinmay Singhal is a Machine Learning Engineer based in New York with a decade of experience building and shipping production AI systems, currently focused on LLMs and scalable inference at Adobe. He has a strong full-stack background—designing cloud-native ML infrastructure on GCP/AWS with Kubernetes, deploying RAG pipelines, fine-tuning transformers, and integrating models with FastAPI/GraphQL frontends. At MD.ai he led LLM feature roadmaps and helped reduce radiology report completion time by 30% through tailored fine-tuning and evaluation workflows that drove enterprise adoption. He pairs rigorous academic training (MS in Data Science, NYU) with hands-on research in medical imaging and computational biology, and is comfortable bridging product requirements to reliable, performant AI services. Colleagues describe him as product-minded and execution-oriented, able to move models from research prototypes into revenue-generating deployments.
10 years of coding experience
1 year of employment as a software developer
Secondary and Senior Secondary Science, Secondary and Senior Secondary Science at Apeejay School NoidaBachelor of Technology (B.Tech.) Chemical Science and Technology, Bachelor of Technology (B.Tech.) Chemical Science and Technology at Indian Institute of Technology, GuwahatiMaster of Science - MS Data Science, Master of Science - MS Data Science at New York University
Hindi, English
Github Skills (27)
jupyter-notebook10
lilypond9
pytorch9
client-library9
deep-learning9
python-client9
machine-learning8
testing8
python7
unet-image-segmentation6
inference6
medical5
imaging5
editor5
capstone5
Programming languages (3)
Github contributions (5)
mdai/model-deploy
Sep 2020 - Jan 2023
Model deployment for training/testing/inference on MD.ai
Contributions:2 reviews, 49 commits, 25 PRs in 2 years 3 months
pytorchdeep-learningdeploymentmodel-deploymentinference
chinmaySinghal/chinmaySinghal
Dec 2020 - Jul 2023
Contributions:4 pushes, 1 branch in 2 years 7 months
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