Tejas Khot
Staff Machine Learning Engineer Technical Lead at Abnormal AI
New York, New York, United States
Summary
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Senior🎓
Top SchoolTejas Khot is a senior machine learning engineer and technical leader based in New York with a decade of experience delivering scalable AI systems. He is currently Staff Machine Learning Engineer / Technical Lead at Abnormal AI, founding engineer for the Behavioral Email Security Platform, and leads ML and detection across Account Takeover Protection and Security Posture Management. Prior to Abnormal, he contributed to Amazon’s stealth moonshots—Explore, Glow, and Care—developing real-time cloud and edge ML models and earning a US patent for SuperTran: Reference Based Video Transformer. His research background spans CMU NavLab work on deep learning for 3D point clouds and geometric vision, with publications in 3DV 2018 and CVPR 2019. He holds an MS in Robotics from Carnegie Mellon University and a BE in Computer Engineering, with additional training from Kyoto University's ML Summer School and related programs, and maintains a personal page at tejaskhot.github.io.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (B.E.), Computer Engineering, Bachelor of Engineering (B.E.), Computer Engineering at Father Conceicao Rodrigues College of Engineering, Mumbai UniversitySmart Textiles Track, Smart Textiles Track at MIT Media Lab India Initiative 5th Design Innovation WorkshopLectures on Probability and Stochastic Processes X, Lectures on Probability and Stochastic Processes X at Indian Institute of ScienceMaster of Science - MS, Robotics, Master of Science - MS, Robotics at Carnegie Mellon UniversityMachine Learning Summer School(MLSS), 2015, Machine Learning Summer School(MLSS), 2015 at Kyoto University
English, Hindi, Marathi
Stackoverflow
101reputation
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Github Skills (153)
python10
nearest-neighbors10
deep-learning10
gpu10
computer-graphics10
clustering10
rendering10
ml10
neural-network10
data-science10
tensorflow10
k-means10
machine-learning10
similarity10
deep-neural-networks10
Programming languages (6)
Github contributions (5)
tejaskhot/ConvAE-DeSTIN
Jul 2015 - Aug 2015
Contributions:29 commits, 25 pushes, 1 branch in 27 days
tejaskhot/unsup_mvs
May 2019 - May 2020
Code for paper: Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency
Contributions:2 commits, 5 pushes, 2 comments in 1 year
pytorchkitti-datasetmulti-viewunsupervised-learningstereo
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