Divyendra Mikkilineni
member of technical staff at eightfold ai@ Eightfold
San Francisco, California, United States
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Divyendra Mikkilineni is a Master's student at UMass Amherst, pursuing a thesis in NLP(Natural Language Processing) at UMass Amherst. With 10 years of work experience, he specializes in software engineering practices, algorithms, machine learning, problem solving, and probabilistic models. He is knowledgeable in Python and Java, with exposure to various languages. Divyendra has a strong interest in implementing scalable software systems and API design patterns. He has worked in startups and has experience in server and database administration. Currently, he is involved in teams focused on machine learning engineering and software system design.
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@eightfold.ai
@eightfold.ai
+1 888325****
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About

Currently a Master's student in UMass Amherst pursuing a thesis in NLP(Natural Language Processing) domain under Prof. Andrew McCallum. As part of which, I am working on Probabilistic models and Neural Dialog based QuestionAnswering systems. Knowledgeable in Python and Java, with exposure to a wide variety of other languages. Extensive interest and experience in implementing scalable software systems and API design patterns. Was part of building them in Startups. Some experience in server and database administration Interested being part of teams which pursue a blend of machine learning engineering and software system engineering Specialities: QuestionAnswering systems, NLP, ProbabilisticGraphicalModels, Deeplearning, Algorithms, Asymptotic analysis, Software system design

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Work Experience

2625 Augustine Dr, Santa Clara, California, 95054, US

Software Development

612
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Divyendra Mikkilineni's Professional Milestones

  • Software Consultant (2016-04-01~2016-12-01): Building a highly skilled and reliable digital transformation team, delivering significant solutions for clients of all ages.
  • Software Engineer (2014-12-01~2015-06-01): Implemented responsive user interfaces, enhancing user experience and driving the success of various software systems.
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