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.

Selected Papers

Selected Papers

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

Selected Patents

Selected Patents

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

My Articles & Updates

My Articles & Updates

Let's talk

Email:

krishna.dubba@gmail.com

Reach out:

© Copyright 2025

Let's talk

Email:

krishna.dubba@gmail.com

Reach out:

© Copyright 2025