Rahul K.

Rahul K.

Software Engineering Technical Leader

Bengaluru , India

Experience: 14 Years

Rahul

Bengaluru , India

Software Engineering Technical Leader

100092 USD / Year

  • Notice Period: 60 Days

14 Years

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About Me

Software engineer with 14+ years of experience. Expertise in the design and implementation of computer vision & machine learning systems, backend microservices, and android applications.

Looking for a role where I can contribute towards ...

Looking for a role where I can contribute towards solving challenging problems in the areas of computer vision, natural language processing, machine learning, and artificial intelligence. Looking for an individual contributor role.
 

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Portfolio Projects

Remote Assistance with Webex on Head Mounted Tablets and Augmented Reality devices

Company

Remote Assistance with Webex on Head Mounted Tablets and Augmented Reality devices

Role

Software Architect

Description

Expert on Demand integrates Webex on wearable, hands- free, augmented reality headsets like Realwear HMT, Google Glass, and Microsoft HoloLens. Led engineering from Proof of Concept to Production.

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Online Handwriting Recognition

Company

Online Handwriting Recognition

Description

Worked on developing and implementing algorithms that form the core of a handwriting recognition system that performs at a very high level of accuracy.

  • Building and evaluating various geometric and probabilistic models for handwritten data

  • Design and implementation of original, robust, and efficient algorithms to represent 2D curves and shapes

  • Implementation of piecewise approximation schemes like splines

  • Design and implementation of probabilistic and statistical models, parametric and non-parametric, to deal with various aspects of handwritten data

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Lexical & Linguistic Correction for Handwriting Recognition

Company

Lexical & Linguistic Correction for Handwriting Recognition

Description

Implementation of various algorithms from natural language processing to handle lexical, linguistic, and phonotactic (related to speech) information to improve handwriting recognition accuracy

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Artificial Intelligence & Machine Learning: Course design and instruction

Company

Artificial Intelligence & Machine Learning: Course design and instruction

Description

  • Co-designed and co-taught a 4-day course on Deep Learning (Artificial Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks) as part of corporate training for Aricent Delhi and Bangalore (a total of 28 students)

  • Advised individual students enrolled in Edu2Code courses on projects and machine learning concepts

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