Archit Khullar

Sr. Engineer, Machine Learning at Poshmark

Charlotte, North Carolina, United States
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Summary

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Senior
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Top School
Archit Khullar is a senior machine learning engineer with 11 years of experience building production ML/DL systems across energy, fintech, and marketplace domains, currently leading Seller Experience AI at Poshmark. He blends hands-on model development (XGBoost, CNNs, LSTM, anomaly detection, contextual bandits) with inference pipeline and deployment design on AWS and Snowflake, having driven measurable business impact like $2.5M annual savings in energy and improved CTR/revenue models at LendingTree. Archit has founded an AI sports-tech startup and repeatedly moved research into production—from wind turbine failure prediction to solar inverter fault classification—showing a knack for translating complex sensor and time-series data into robust products. He mentors data teams and routinely presents to executives, pairing technical depth with stakeholder fluency, and brings an uncommon mix of full-stack engineering and applied research shaped by both startup and enterprise environments.
code11 years of coding experience
job9 years of employment as a software developer
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at University of North Carolina at Charlotte
bookBachelors in technology(B.Tech) Computer Science and Engineering, Bachelors in technology(B.Tech) Computer Science and Engineering at Amrita Vishwa Vidyapeetham, Coimbatore
bookHigh School Physics Chemistry Mathematics with Computer Science, High School Physics Chemistry Mathematics with Computer Science at Atomic Energy Central School
languagesEnglish, Hindi
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Programming languages (2)

JavaScriptHTML

Github contributions (5)

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Contributions:28 commits, 24 pushes, 1 branch in 4 days
architkhullar/2uAssessment

Aug 2019 - Aug 2019

This is a simple assessment that candidates need to complete in order to apply for a job at 2uLaundry.
Contributions:20 pushes in 1 day
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Archit Khullar - Sr. Engineer, Machine Learning at Poshmark