Vignesh Krishnakumar

CEO

United States13 yrs 3 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Co-founder and CTO of an AI Fintech startup.
Developed patented technology for real-time image analysis.
Highest ranked Indian company on NIST Face Recognition leaderboard.

Stackforce AI infers this person is a Fintech and AI expert with a strong focus on Computer Vision and Machine Learning.

Contact

vignesh@hyperverge.co LinkedIn

Skills

Core Skills

Artificial IntelligenceComputer VisionAlgorithmsProgrammingMachine Learning

Other Skills

AIAugmented RealityAutomationCC++Computer ScienceData StructuresDeep LearningDiagramming FrameworkDigital Identity VerificationDomain-specific LanguageFraud DetectionImage ProcessingJavaKeyword Bidding Strategies

Experience

Hyperverge inc.

Co-founder and CTO

Dec 2013 – Present · 12 yrs 3 mos · Bangalore Urban, Karnataka, India

HyperVerge is an AI startup based out of Palo Alto in the US and Bangalore in India. Our AI-driven Fintech platform empowers leading Consumer Lenders, Telcos, Banks, Wallets and Brokerages to onboard their customers in a seamless automated manner while keeping fraudsters out. Our platform processes more than 30M Digital Identity Verification and Fraud Checks every month across customers such as Jio, Vodafone, SBI, Grab, Xiaomi, etc
HyperVerge has developed patented technology for real-time analysis of millions of images and videos to extract meaningful information that powers business applications. Our deep-learning models lead the market with top accuracy values on many important datasets and are optimised for deployments in real-world low bandwidth environments. We are the highest ranked Indian company on NIST Face Recognition leaderboard and among the top 10 %ile globally.

AIDigital Identity VerificationFraud DetectionDeep LearningComputer VisionArtificial Intelligence

Microsoft

Research Intern

May 2013 – Aug 2013 · 3 mos · Redmond, United States

Developed a generalized framework for diagramming and with its use, created a domain-specific language for constructing signal transduction diagrams. The language can take specifications for the shapes that constitute the diagram, the geometric constraints that exist between them and how the flow of information is organized to synthesize a visually pleasing diagram by using a framework
for beautification behind the scene. The framework for constructing diagrams was packaged as a simple tool with an intuitive visual user interface.

Diagramming FrameworkDomain-specific LanguageVisual User InterfaceAlgorithmsProgramming

Computer vision group, iit madras

Convener

Aug 2012 – May 2013 · 9 mos · Chennai, Tamil Nadu, India

Computer Vision Group (CVG) is R&D under Center for Innovation at IIT Madras. CVG is the first ever student-driven group to take up consulting assignments through IC&SR, IIT Madras.
Lead the team in developing advanced technology in Deep Learning, Machine Learning, Augmented Reality
Executed projects across transportation, agriculture, education, entertainment and manufacturing

Deep LearningMachine LearningAugmented RealityComputer Vision

Adobe

Intern

May 2012 – Jul 2012 · 2 mos · Greater Chennai Area

Worked on learning systems in keyword bidding strategies for online biddable marketplace. Developed a method to estimate exploratory spend on keywords in order to balance exploration versus exploitation of keyword potential

Keyword Bidding StrategiesLearning SystemsAlgorithms

Isro - indian space research organisation

Intern

Jul 2011 – Jul 2011 · 0 mo · Bengaluru, Karnataka, India

Set up a system to automate processing of images received from a Doppler weather radar, to extract
meaningful data and to aid in the generation of weather reports

Image ProcessingAutomationComputer Vision