Tejas Khot
Staff Machine Learning Engineer Technical Lead at Abnormal AI
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolTejas Khot is a Staff Machine Learning Engineer and Technical Lead with 11 years of experience building production-grade ML systems, currently leading ML and detection for Abnormal AI’s Account Takeover and Security Posture products. A founding engineer for Abnormal’s Behavioral Email Security Platform, he collaborates closely with CTO-level stakeholders to shape system architecture and drive new product lines at a high-growth cybersecurity startup. His background blends deep academic research in 3D vision and unsupervised reconstruction from Carnegie Mellon with applied R&D at Amazon, where he developed a patented visual-transformer used across multiple consumer products and edge/cloud deployments. Tejas excels at taking zero-to-one moonshot ideas into scalable, real-time models and has a proven track record of shipping novel CV/ML features at scale. Based in New York, he pairs rigorous research credentials with hands-on product engineering and a knack for translating complex vision models into customer-facing value.
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 University of Mumbai Smart 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
0reached
0answers
0questions
Github Skills (139)
python10
nearest-neighbors10
deep-learning10
computer-graphics10
gpu10
clustering10
rendering10
ml10
neural-network10
data-science10
tensorflow10
machine-learning10
similarity10
deep-neural-networks10
depth-estimation9
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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