Tulrose Deori is a Machine Learning Engineer with 8 years of industry experience and 3+ years focused on data science, currently building ML solutions at H&M after senior roles at Amlgo Labs. He designs and deploys end-to-end ML workflows—specializing in forecasting, NLP, and social media analytics—and has a track record of turning experimental statistical designs into production-ready models. Educated at NIT Silchar and Scaler, he blends strong academic foundations with hands-on product development experience across retail and analytics domains. Tulrose also mentors learners in ML and deep learning, indicating a commitment to knowledge transfer alongside technical delivery. An aptitude for bridging research techniques with business impact helps him drive measurable improvements in demand forecasting and customer insights.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Scaler
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at National Institute of Technology Silchar
A real-time messenger chat application build with NodeJS in the backend, ExpressJS as a middleware, MongoDB as the database store and ReactJS in the front-end. Implements WebSocket for real-time connectivity.
Contributions:10 PRs, 12 pushes, 1 branch in 2 years 2 months
A project on an online Aptitude Test Portal for Assessment of the Final year students in a mock environment.
Contributions:9 pushes, 1 branch in 5 years 11 months
testingexpressportalhandlebarsnodejs
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