Immanuel Donbosco
Senior Machine Learning Scientist at Grainger
Chicago, Illinois, United States
Summary
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Senior🎓
Top SchoolImmanuel Donbosco is a Senior Machine Learning Scientist based in Chicago with 8 years of experience turning research-grade models into production impact across recommendation, conversational AI, and VoC analytics. At Grainger he has led LLM-based chat and call summarization at scale, product association and recommendation systems, and real-time ML on cloud/Kubernetes to drive sales and operational value. His background blends academic research in computer vision and unsupervised embeddings with hands-on engineering—shipping SHAP-based explainability, transformer pipelines summarizing millions of chats, and signal-based triggers that surfaced thousands of sales opportunities. He mentors peers, contributes to patents, and has a proven track record of improving model accuracy and operational metrics through pragmatic experimentation. Outside work he jokes about “changing the world one cup of coffee at a time,” hinting at a persistent, detail-oriented drive that fuels long-running production projects.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Data Science, Cum Laude, Master's degree, Data Science, Cum Laude at Indiana University BloomingtonBachelor of Technology, Computer Science and Engineering, Cum Laude, Bachelor of Technology, Computer Science and Engineering, Cum Laude at Sikkim Manipal Institute of TechnologyHigh School Diploma, Computer Science, 10, High School Diploma, Computer Science, 10 at Velammal Vidhyashram
English, Tamil, Malayalam, Hindi, Telugu, Arabic
Stackoverflow
11reputation
7kreached
0answers
1question
Github Skills (32)
shift10
mnist-dataset10
autoencoder9
openxr9
mean-shift9
unsupervised-learning9
testbed8
websphere-mq8
computer-architecture8
neurons8
clustering7
deep-learning6
ibm-mq6
python-interface6
python6
Programming languages (4)
Github contributions (5)
immanuelsavio/Distributed-Unsupervised-Learning
May 2019 - May 2022
Distributed Unsupervised Learning using Autoencoders and Mean Shift Clustering
Contributions:125 commits, 2 PRs, 75 pushes in 2 years 11 months
autoencodershiftunsupervised-learningautoencodersdeep-learning
immanuelsavio/Plant_Species_Recognition_With_VGG16
Jul 2018 - Sep 2019
Contributions:53 commits, 49 pushes, 1 branch in 1 year 2 months
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