Käyttäjän vaibhav81090 profiilikuva
@vaibhav81090
Maan India lippu Ahmedabad, India
Jäsen alkaen 29. marraskuuta 2015
0 Suositukset

vaibhav81090

Online-tilassa Offline-tilassa
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
11 arvostelua
3.8
  • 94%Suoritetut työtehtävät
  • 100%Budjetin mukaisesti
  • 42%Ajallaan
  • 8%Uudelleenpalkkaamisaste

Portfolio

Viimeaikaiset arvostelut

Kokemus

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 .

Koulutus

Bechelor of Engineering

2008 - 2012 (4 years)

Pätevyydet

Cisco Certified Network Associate (2011)

Cisco

Earned this certification during college graduation .

Todistukset

  • JavaScript Level 1
    90%
  • C 1
    87%
  • Preferred Freelancer Program SLA
    87%
  • Python Level 1
    87%
  • Python Level 2
    85%
  • Python Level 3
    77%
  • US English Level 1
    77%

Varmennukset

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