Jasveen Sandral
PremiumAI/Back-end engineer, Japan
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AI/Backend Engineer (Japan) | Machine Learning Intern | International Keynote Speaker | IIIT Hyderabad | Google CodeJam |
AI/Back-end engineer
August 2020 - October 2020 (3 months)
* Design and deliver software and tools: As part of a state-of-the-art machine learning platform.
* Part of the core back-end team: Reporting to the Engineering Manager and responsible for the systems that tie
everything together into a production environment for the customers.
* Design, develop, test, deploy: Maintain and improve ML models/infrastructure and software that uses these models.
* Part of the core back-end team: Reporting to the Engineering Manager and responsible for the systems that tie
everything together into a production environment for the customers.
* Design, develop, test, deploy: Maintain and improve ML models/infrastructure and software that uses these models.
GITAM University Hyderabad
Bachelor of Engineering
Computer Engineering
2018 - 2020
Relevant Courses
Computer Science: Computer Vision, Digital Image Analysis, Approximation Algorithms, Numerical and Scientific Computing, Parallel Programming, Computer Networks, Operating Systems, Theory Of Computation, Analysis and Design of Algorithms,
Programming Languages, Digital Hardware Design, Computer Architecture, Discrete Mathematical Structures, Data Structures, ICTs for Development. Mathematics: Graph Theory, Numerical Optimization, Statistical Methods and Algorithms, Probability Theory, Stochastic Process, Real Analysis, Differential Equations, Linear Algebra, Matrix Theory.
Computer Science: Computer Vision, Digital Image Analysis, Approximation Algorithms, Numerical and Scientific Computing, Parallel Programming, Computer Networks, Operating Systems, Theory Of Computation, Analysis and Design of Algorithms,
Programming Languages, Digital Hardware Design, Computer Architecture, Discrete Mathematical Structures, Data Structures, ICTs for Development. Mathematics: Graph Theory, Numerical Optimization, Statistical Methods and Algorithms, Probability Theory, Stochastic Process, Real Analysis, Differential Equations, Linear Algebra, Matrix Theory.
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