Profilbillede af vaibhav81090
@vaibhav81090
Flag for India Jamnagar, India
Medlem siden 29. november 2015
0 Anbefalinger

vaibhav81090

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6+ years of experience in working with SoCs,Embedded Systems,Sensors and Machine Learning Problems which includes sensor based Gesture/Face detection, Object detection and classification for PoS using CNN. Skills : data science &analytics, CNN/RSTM/GRU, Tree based algorithms, Deep Learning , android sensor framework, python,C,C++ , Computer Vision, OpenCV , BLE ,scikit-learn ,Tensorflow/Caffe/Pytorch Summery : 1) I have successfully show-cased Object Detection demo based on YOLO architecture on custom hardware 2) Successfully developed Identity Matching from ID-card/ selfie & Resume parsing for Recruiting Firm. 3) Developed Convolution neural network tool in python for custom AI platform 4) Have successfully done Gujarat OCR with 71% accuracy. I Also provide , Pre-processing on data Data analysis using different plotting libraries Feature extraction and engineering Model selection using different ML algorithms Wrapping up the code in python for user interface and many more!
$35 USD/hr
3 anmeldelser
2.4
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Portfolio

Nylige bedømmelser

  • billede af ParrotWeb [URGENT[ Deep learning in R and Python (some fixes) $45.00 USD

    “Really dedicated. He worked really hard to do something noone could help me with. Researched and completed 100% Real machine!!! 200% Recommended!”

  • billede af Muhammad Uzair Z. Project for Vaibhav K. $95.00 AUD

    “Excellent skills.”

  • billede af Muhammad Uzair Z. Python and tensorflow expert $35.00 AUD

    “Excellent and timely work. An absolute pleasure to work with. I will seek to hire him for my next project.”

Erfaring

Software Engineer

May 2015 - Jun 2017 (2 years)

Major Project done : Object Counting app for PoS using Convolution Neural Network 1) Client want to train a model using deep learning techniques in order to count objects using attached camera to PoS. Ultimate application is to use in in their grocery store 2) My role is to prepare dataset,parse annotation and train models using transfer learning. 3) Used CNN as architechture. FPS was 44 .

Uddannelse

Bechelor of Engineering

2008 - 2012 (4 years)

Certificeringer

  • C 1
    87%
  • US English Level 1
    77%

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