Raghvendra J.

Co-Founder at Optilife
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Contact Information
us****@****om
(386) 825-5501
Location
Tokyo, Tokyo, Japan, JP

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Experience

    • Japan
    • Information Services
    • 1 - 100 Employee
    • Co-Founder
      • Aug 2019 - Present

      Tokyo, Japan We provide two products (a) Optilife (https://optilife.ai/), a personalized communications coach for professionals to become skilled communicators, and (b) OptiHire (https://www.optihire.ai/), an End-to-End recorded video interview platform that helps HR teams to make 2X better hires, 5X cheaper, 3X faster and at scale.

    • Japan
    • Broadcast Media Production and Distribution
    • 1 - 100 Employee
    • On Air Announcer
      • Aug 2013 - Present

      Tokyo, Japan

    • Japan
    • Financial Services
    • 1 - 100 Employee
    • Blockchain Lead Engineer
      • Apr 2018 - Oct 2020

      Within 23 wards, Tokyo, Japan • Managed the completion of the first Blockchain Proof Of Concept (PoC) for proxy voting in Japan in association with Broadridge Financial Solutions. • Developed AI-powered software to extract unstructured financial data from different file types (such as PDF) for content analysis and building prediction models. This work is expected to (a) reduce millions of yen and thousands of hours in labor costs, annually and (b) serve as a key infrastructure component for new business under… Show more • Managed the completion of the first Blockchain Proof Of Concept (PoC) for proxy voting in Japan in association with Broadridge Financial Solutions. • Developed AI-powered software to extract unstructured financial data from different file types (such as PDF) for content analysis and building prediction models. This work is expected to (a) reduce millions of yen and thousands of hours in labor costs, annually and (b) serve as a key infrastructure component for new business under planning. • The PoC was developed using Quorum, an Ethereum-based distributed ledger protocol for enterprise use cases. • The work was widely covered in media in Jan 2019 by publications like Finextra, Asset Servicing Times, Fintech Finance, Global Custodian, Mondo Visione, Fintech Insight, Ledger Insight, Securities Finance Monitor, The Industry Spread, etc. • Acquired a solid understanding to build, deploy and test a fully functioning decentralized application for both public and private, permissioned DLT platforms. • For public use cases: Ethereum (programming in Solidity, Web3 API, Truffle, etc.) • For enterprise use cases: Quorum (Ethereum-based protocol), Hyperledger Fabric, and Hyperledger Sawtooth. Show less

    • Japan
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • AI Lead Technical Manager
      • Mar 2017 - Mar 2018

      Within 23 wards, Tokyo, Japan FiNC is a personalized healthcare company helping its users build habits of lifelong health. My job was to leverage data science and artificial intelligence to identify and improve personal traits relevant to each user based on her food intake, physiological attributes such as posture and current health status. • Led the development of key projects that used AI such as food recognition and posture recognition (CNN based deep learning), in-app content recommendation engine (collaborative… Show more FiNC is a personalized healthcare company helping its users build habits of lifelong health. My job was to leverage data science and artificial intelligence to identify and improve personal traits relevant to each user based on her food intake, physiological attributes such as posture and current health status. • Led the development of key projects that used AI such as food recognition and posture recognition (CNN based deep learning), in-app content recommendation engine (collaborative filtering and content based) and chatbot (LSTM). We used Google's Tensorflow and Keras framework for developing our AI models. • Promoted to the Lead Technical Mananger of AI team within 3 months of joining the company. Awarded approx. 10% raise in salary and additional stock options. • Implemented data anonymization for the sensitive health data and advised subject matter specialists in statistical disclosure control. Show less

    • Post Doctoral Research Scientist
      • Apr 2015 - Mar 2017

      Within 23 wards, Tokyo, Japan • Published research regarding prediction of dengue that used a variety of machine learning and time-series forecasting approaches. The model had a positive prediction value of 91% and negative prediction value of 100% against WHO threshold. This work helps public health experts to prepare for, manage and control the epidemic. • Authored research papers related to Virtual Reality, Disease Prediction and Recommender Systems. • Advised international internship students for their… Show more • Published research regarding prediction of dengue that used a variety of machine learning and time-series forecasting approaches. The model had a positive prediction value of 91% and negative prediction value of 100% against WHO threshold. This work helps public health experts to prepare for, manage and control the epidemic. • Authored research papers related to Virtual Reality, Disease Prediction and Recommender Systems. • Advised international internship students for their undergraduate research in AI.

    • PHD Student
      • Oct 2009 - Mar 2015

      Within 23 wards, Tokyo, Japan Thesis Theme: Enabling robot to learn to use tools via probabilistic learning. Description: The goal of my research was to enable a robot learn the usage of tools that are used in daily tasks e.g. stick, spoons, knives, hammer etc. It should enable the robot to generalize its learning for wide variety of actions, novel tools and target objects to realize desired effects of the task at hand. One of my candidate tasks is to make robot learn to cook pan-cake using combination of several… Show more Thesis Theme: Enabling robot to learn to use tools via probabilistic learning. Description: The goal of my research was to enable a robot learn the usage of tools that are used in daily tasks e.g. stick, spoons, knives, hammer etc. It should enable the robot to generalize its learning for wide variety of actions, novel tools and target objects to realize desired effects of the task at hand. One of my candidate tasks is to make robot learn to cook pan-cake using combination of several tools and actions.

    • United States
    • IT Services and IT Consulting
    • Research Staff Member
      • 2013 - Mar 2015

      Within 23 wards, Tokyo, Japan Developed software for human-robot Interaction, data analysis and integration of machine learning modules written in Python and R for an opensource simulator called SIGVerse.

    • Project Assistant
      • 2011 - 2013

      Tokyo, Japan Developed software for modeling of 3d objects, robots and human-robot interaction for an opensource simulator SIGVerse being developed at Inamura laboratory.

    • Semester Research Internship
      • Jan 2009 - Jul 2009

      Offenbach Area, Germany Worked on the Humanoid Robot ASIMO to enable it to learn 3-D representations of its arm movements in dynamical environments.

    • Japan
    • Research Services
    • 700 & Above Employee
    • Summer Research Internship
      • May 2008 - Jul 2008

      Saitama, Japan Developed an algorithm using recurrent neural network which enables the network to ignore the unpredictable sensory input for a robot in noisy environment.

    • Research
    • 1 - 100 Employee
    • Summer Research Internship
      • May 2007 - Jul 2007

      Tokyo, Japan Developed motion behaviors for the Fujitusu's humanoid robot Hoap3 and synthesized its vision and speech.

Education

  • The Graduate University for Advanced Studies
    Doctor of Philosophy (Ph.D.), Robotics and Intelligent Systems
    2009 - 2014
  • Indian Institute Of Information Technology Allahabad
    Bachelor of Technology - BTech, Information Technology
    2005 - 2009

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