Prateek R.

Software Engineer

Seattle, Washington, United States13 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building distributed systems.
Strong background in machine learning algorithms.
Proven track record in software engineering.

Stackforce AI infers this person is a Software Engineer specializing in distributed systems and machine learning.

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Skills

Core Skills

Machine LearningAlgorithms

Other Skills

.NETCloud ApplicationsData StructuresDeep LearningDeep learningDistributed SystemsMongoDBPython (Programming Language)Quadratic ProgrammingRubySQLScalable ArchitectureSequential Minimal OptimizationSoftware DevelopmentSoftware Engineering

About

Software engineer with experience in building distributed systems.

Experience

Adobe

Senior Software Engineer

Feb 2017 – Jul 2019 · 2 yrs 5 mos · Noida Area, India

Microsoft

Software Engineer

Jul 2012 – Jan 2017 · 4 yrs 6 mos · Hyderabad Area, India

Indian institute of technology, delhi

Research Intern

Jan 2012 – Jun 2012 · 5 mos

Worked on improvising Sequential Minimal Optimization(SMO), algorithm used for training support vector machines. Training a support vector machine requires the solution of a very large quadratic programming (QP) optimization problem. SMO breaks this large QP problem into a series of smallest possible QP problems. This algorithm is used by classification tool called libsvm. My task was to increase the efficiency of SMO in order to use libsvm for training large datasets.

Sequential Minimal OptimizationSupport Vector MachinesQuadratic ProgrammingMachine LearningAlgorithms