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Ship at Night

Technical Leader

 

Hands-on technical leader for product development in Generative AI, Machine Learning and Text Analytics

Applied Scientist

 

Applied Scientist with 11 years of industry experience in Enterprise, Automotive and Retail.

Product Designer

 

Designing and developing products with Machine Learning and Deep Learning in Natural Language Processing and Computer Vision

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Strategic Product Development

  • Machine Learning and NLP based applications for the IT organization in a 2 Trillion Dollar enterprise of 320K employees worldwide

  • ML based, customized suite of software tools for the Sales and Service organization ~5M USD annually in productivity improvements

  • Enterprise Recommendation Engines, Search Engines and Personalization Engines ~ 2.75M USD annually in revenue and client retention

  • Proven experience of working through the full product cycle from initial design to the final product

  • Regular practice of estimating planned work, identifying dependencies, and participating in sprint planning and scrum ceremonies

  • Ability to communicate effectively product architectures, design proposals and negotiate options at senior management levels

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Data Science and Machine Learning

  • Generative AI for enterprise applications like Question Answer systems

  • ML components for intelligent enterprise applications

  • Semantic Search Engines using ML and NLP techniques for enterprise applications

  • Recommender Systems for retail company home pages and mobile applications 

  • Predictive models for estimating customer retention and churn

  • Feature engineering and productizing both offline and real-time machine learning pipelines

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Leadership and Project Management

  • Leading a global, cross functional team developing NLP based enterprise products 

  • Set up from scratch and managed team with 5+ Data Scientists and Engineers

  • Experienced in agile, scrum, waterfall based software development life cycle and PLM

  • 9+ years in client facing technical roles

  • A coach for new Data Scientists and Engineers

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​Technology and Tool Development

  • Statistical modeling for data driven decision making

  • Extremely comfortable with big data analysis, machine learning and NLP

  • Python, PyTorch and Tensorflow based ML application development

  • Experience in Model Based Design with C# with target deployment on Data Centers

  • Familiar with application and enterprise level security for connected devices and products

  • Experience working with functions like Marketing, Operations, Regulatory bodies, Legal, and Finance

  • Experience with different cloud based solutions – AWS, GCP, Azure , Docker

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