

Krishna Dubba
Krishna Dubba
Cofounder & CTO, CoVent
Cofounder & CTO, CoVent
London, UK
krishna.dubba@gmail.com
krishna.dubba@gmail.com
About me
About me
I am currently co-founder and CTO of CoVent. At CoVent, our mission is to redefine sponsorship discovery and evaluation through an AI-enabled marketplace. Before, I worked as a Staff Research Scientist in Blue Prism AI Labs, London and also worked as Principal Researcher (Machine Learning) in Bell Labs, Cambridge (UK).
I finished my Ph.D. in 2012 at the University of Leeds under Prof. Tony Cohn and Prof. David Hogg in the areas of Machine Learning and Cognitive Vision and was funded by the European Commission's Co-Friend, RACE, STRANDS projects, and DARPA's Mind's Eye project.
Experience
Experience
New York, US
CoVent
July 2024 – Present
Cofounder and CTO
AI-powered market place for event sponsorships.
Strategy, architecture, execution, funding and recruitment.
New York, US
CoVent
July 2024 – Present
Cofounder and CTO
AI-powered market place for event sponsorships.
Strategy, architecture, execution, funding and recruitment.
London, UK
A2O AI
June 2023 – June 2024
Cofounder & CTO
LLM powered enterprise AI products: Corpus and Insight. Corpus is enterprise search engine and Insight is virtual data-scientist.
Strategy, architecture, execution, funding and recruitment.
London, UK
A2O AI
June 2023 – June 2024
Cofounder & CTO
LLM powered enterprise AI products: Corpus and Insight. Corpus is enterprise search engine and Insight is virtual data-scientist.
Strategy, architecture, execution, funding and recruitment.
London, UK
Jeevi AI
May 2022 – June 2023
Cofounder & CTO
LLM-powered well-being mobile app.
Strategy, architecture, execution, funding and recruitment.
London, UK
Jeevi AI
May 2022 – June 2023
Cofounder & CTO
LLM-powered well-being mobile app.
Strategy, architecture, execution, funding and recruitment.
London, UK
BluePrism AI Labs
Jan 2019 – May 2022
Research Leader
Built and improved BluePrism RPA products based on deep Learning and computer vision and was one of the first hires to build the AI labs within BluePrism.
Tech Lead for BluePrism Capture product, taking it from research to market in less than a year and being used by more than 2500 organizations. Responsibilities include system design, lead development, and development of ML techniques to incorporate into the product.
Capture product, now being used in more than 2500 organizations, reduced time to automation by up to 75%, Process Definition Document creation time reduced from 2-12 weeks to one day. A 2022 survey said 86% of BluePrism RPA customers are automating faster after using Capture.
Tech Lead for Blue Prism’s AI-assisted Surface Automation (AISA).
Responsible for overlooking data collection, data cleaning, annotation and ML Ops for developing and deploying ML models for Blue Prism Capture and AISA.
As the first hire in AI Labs, worked with the Head of Research and CTO to develop a strategic research plan and set up a hiring process for ML scientists and engineers.
London, UK
BluePrism AI Labs
Jan 2019 – May 2022
Research Leader
Built and improved BluePrism RPA products based on deep Learning and computer vision and was one of the first hires to build the AI labs within BluePrism.
Tech Lead for BluePrism Capture product, taking it from research to market in less than a year and being used by more than 2500 organizations. Responsibilities include system design, lead development, and development of ML techniques to incorporate into the product.
Capture product, now being used in more than 2500 organizations, reduced time to automation by up to 75%, Process Definition Document creation time reduced from 2-12 weeks to one day. A 2022 survey said 86% of BluePrism RPA customers are automating faster after using Capture.
Tech Lead for Blue Prism’s AI-assisted Surface Automation (AISA).
Responsible for overlooking data collection, data cleaning, annotation and ML Ops for developing and deploying ML models for Blue Prism Capture and AISA.
As the first hire in AI Labs, worked with the Head of Research and CTO to develop a strategic research plan and set up a hiring process for ML scientists and engineers.
Cambridge, UK
Bell Labs
Jan 2018 – Jan 2019
Principal Research Scientist
Worked on explainable AI using Deep Learning, Knowledge Graphs and Common Sense Reasoning.
Utilized Python’s machine learning libraries, such as scikit-learn and Pytorch, to implement and optimize algorithms, ensuring scalability and performance.
Cambridge, UK
Bell Labs
Jan 2018 – Jan 2019
Principal Research Scientist
Worked on explainable AI using Deep Learning, Knowledge Graphs and Common Sense Reasoning.
Utilized Python’s machine learning libraries, such as scikit-learn and Pytorch, to implement and optimize algorithms, ensuring scalability and performance.
Cambridge, UK
Nokia Advanced Research
Feb 2015 – Dec 2017
Principal Research Scientist
Developed models to generate depth maps for 360-degree (Nokia OZO) cameras.
Developed Generative models for defence against adversarial examples.
Cambridge, UK
Nokia Advanced Research
Feb 2015 – Dec 2017
Principal Research Scientist
Developed models to generate depth maps for 360-degree (Nokia OZO) cameras.
Developed Generative models for defence against adversarial examples.
Leeds, UK
School of Computing
July 2012 – Jan 2015
Post-doc Research Fellow
Developed supervised machine learning framework for learning event models from huge and noisy real-world videos and sensor inputs.
Technical Lead for the Leeds University team for two European Commission research projects and a DARPA (USA) funded research project.
Founder and maintainer of Python Discussion Group in the School of Computing, the University of Leeds, organizing tutorials, data hacking sessions etc.
Leeds, UK
School of Computing
July 2012 – Jan 2015
Post-doc Research Fellow
Developed supervised machine learning framework for learning event models from huge and noisy real-world videos and sensor inputs.
Technical Lead for the Leeds University team for two European Commission research projects and a DARPA (USA) funded research project.
Founder and maintainer of Python Discussion Group in the School of Computing, the University of Leeds, organizing tutorials, data hacking sessions etc.
Hyderabad, India
D. E. Shaw & Co
July 2006 – March 2008
Member, Information Technology
Worked in the front office group responsible for building real-time financial data-feed infrastructure, high performance middleware, interactive trading systems, portfolio management and workflow tools.
Built a distributed firm-wide quote analytics/statistics library that a trading system can use.
Built drivers and applications for the KDB database platform in Perl. KDB is a high performance database for time-series analytics used for real-time business applications
Developed and implemented the migration strategy for the company to move from Perl to Python.
Hyderabad, India
D. E. Shaw & Co
July 2006 – March 2008
Member, Information Technology
Worked in the front office group responsible for building real-time financial data-feed infrastructure, high performance middleware, interactive trading systems, portfolio management and workflow tools.
Built a distributed firm-wide quote analytics/statistics library that a trading system can use.
Built drivers and applications for the KDB database platform in Perl. KDB is a high performance database for time-series analytics used for real-time business applications
Developed and implemented the migration strategy for the company to move from Perl to Python.
Education
Education
Leeds, UK
2008 – 2012
PhD, AI
University of Leeds
Finished under the supervision of Prof. Tony Cohn and Prof. David Hogg in the areas of Machine Learning and Cognitive Vision. The thesis title is Learning Relational Event Models from Videos and was funded by the European Commission's Co-Friend project and DARPA's Mind's Eye project (partner: SRI International).
Leeds, UK
2008 – 2012
PhD, AI
University of Leeds
Finished under the supervision of Prof. Tony Cohn and Prof. David Hogg in the areas of Machine Learning and Cognitive Vision. The thesis title is Learning Relational Event Models from Videos and was funded by the European Commission's Co-Friend project and DARPA's Mind's Eye project (partner: SRI International).
Hyderabad, India
2004 – 2006
Masters in Technology, AI
University of Hyderabad
My thesis was N-gram analysis for Computer Virus Detection (Department of CIS' Best Thesis Award and Gold Medal sponsored by TCS, 2006) which I completed under the guidance of Prof. Arun Pujari.
Hyderabad, India
2004 – 2006
Masters in Technology, AI
University of Hyderabad
My thesis was N-gram analysis for Computer Virus Detection (Department of CIS' Best Thesis Award and Gold Medal sponsored by TCS, 2006) which I completed under the guidance of Prof. Arun Pujari.
Hyderabad, India
2000 – 2004
Bachelors in Technology, Computer Science
JNT University
My final year project was titled Congestion Control in ATM Networks Using Neural Networks.
Hyderabad, India
2000 – 2004
Bachelors in Technology, Computer Science
JNT University
My final year project was titled Congestion Control in ATM Networks Using Neural Networks.
Krishna Dubba, Anthony Cohn, David Hogg, Mehul Bhatt, Frank Dylla: Learning Relational Event Models from Video
Journal of Aritificial Intelligence Research, 2015
Krishna Dubba, Anthony Cohn, David Hogg, Mehul Bhatt, Frank Dylla: Learning Relational Event Models from Video
Journal of Aritificial Intelligence Research, 2015
Krishna Dubba, Anthony Cohn, David Hogg: Event Model Learning from Complex Videos using ILP
European Conference on Artificial Intelligence - 2010
Krishna Dubba, Anthony Cohn, David Hogg: Event Model Learning from Complex Videos using ILP
European Conference on Artificial Intelligence - 2010
Krishna Dubba, Arun Pujari: N-gram Analysis for Computer Virus Detection
Journal in Computer Virology, Vol-2, Number-3, Dec-2006, Springer-France
Krishna Dubba, Arun Pujari: N-gram Analysis for Computer Virus Detection
Journal in Computer Virology, Vol-2, Number-3, Dec-2006, Springer-France
Deborah Ferreira, Julia Rozanova, Krishna Dubba, Dell Zhang, Andre Freitas: On the evaluation of intelligent process automation
AAAI-20 Workshop on Intelligent Process Automation, 2020
Deborah Ferreira, Julia Rozanova, Krishna Dubba, Dell Zhang, Andre Freitas: On the evaluation of intelligent process automation
AAAI-20 Workshop on Intelligent Process Automation, 2020
An Apparatus and Associated Methods for Determining User Activity Profiles
Nokia Technologies
An Apparatus and Associated Methods for Determining User Activity Profiles
Nokia Technologies
Apparatus, Method and System For Identifying a Target Object From a Plurality of Objects
Nokia Technologies
Apparatus, Method and System For Identifying a Target Object From a Plurality of Objects
Nokia Technologies
System and Methods for Robotic Process Automation
Blue Prism
System and Methods for Robotic Process Automation
Blue Prism
Data Obfuscation
Blue Prism
Data Obfuscation
Blue Prism