Teja Kanchinadam


2024 - Current
Principal Applied Scientist - GenAI: ASR, VoiceBots, ChatBots, Generative AI.
2021 - 2024
AI Principal Machine Learning Scientist: Knowledge graphs, Foundational LLMs, Graph Neural Networks, Generative AI
2017 - 2021
Data Scientist: Tech lead for human-in-the-loop, NLP & recommender systems.

2016
Research Intern: Built a pipeline to causally infer customer's viewing behavior over streaming to help optimize user engagement.
2015 - 2016
Research Assistant: Worked with Dr. Jamie Payton as a lead researcher. Developed systems that can predict physiological stress from sensor enabled wearable devices (ex:- Apple Watch, Microsoft Band).
2013 - 2015
Software Engineer: Developed web applications in compliance with software development life cycle – from concept through delivery of applications and customizable solutions.
Publications
NAACL 2024
Teja Kanchinadam, Shaheen Gauher
ICMLA 2022
Teja Kanchinadam, Shaheen Gauher
arxiv 2021
Teja Kanchinadam, Qian You, Keith Westpfahl, James Kim, Siva Gunda, Sebastian Seith, Glenn Fung
arxiv 2021
Teja Kanchinadam, Zihang Meng, Joseph Bockhorst, Vikas Singh, Glenn Fung
KDD 2020
Teja Kanchinadam, Kieth Westpfahl, Qian You, Glenn Fung
WIRE 2020 Journal
Maleeha Qazi*, Kaya Tollas*, Teja Kanchinadam*, Joseph Bockhorst, Glenn Fung
Frontiers 2019 Journal
Sukrat Gupta*, Teja Kanchinadam*, Devin Conathan, Glenn Fung
MMLS 2019
Teja Kanchinadam, Rick Lentz, Qian You, Glenn Fung
IAAI 2019
Maleeha Qazi, Srinivas Tunuguntla, Peng Lee, Teja Kanchinadam, Neeraj Arora, Glenn Fung
ICMLA 2018
Teja Kanchinadam, Maleeha Qazi, Joseph Bockhorst, Mary Morell, Katie Meissner, Glenn Fung
2016
Teja Kanchinadam
Patents
U.S. Patent App 15/985,783
U.S. Patent Provisional App PU170019

Also on Google Scholar