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Vaibhav B - Python developerLD Talent logo

Vaibhav B

ML ENGINEER Preferred Title
$20.00 /hr $ 120.0K /yr Hourly Rate and Yearly Salary
Overview Vetting Experiences Qualifications
Overview
Basic Summary
LD Talent History
  • Average Response Time 12.0 hours
  • Average Count of Messages/Day 0.3
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 0h PST, 25h UTC
Vetting Summary
  • Code Quality 60%
  • Soft Skill Attributes 60%
  • Expertise 2/3
  • Coding Challenges 60%
  • No. of Lifelong Learning Projects 2
  • No. of Coding Challenges Completed 2
  • More details
Talent's Devices
  • Desktop Linux
  • Phone Android
  • Tablet iPad
General
  • Member Since Dec 02, 2019
  • Profile Last Updated Oct 06, 2020
  • Last Activity Nov. 25, 2020, 5:19 p.m. UTC
  • Location India
Profile Summary
I am a Data Scientist, with almost 3 years industry experience of working into Machine Learning , Deep Learning, AI and Analytics. I am proficient in Software Development, Machine Learning and AI. With an ability to assimilate new research & technologies, I have expertise in systems based around python. I am looking for new opportunities in the field of ML and AI while working on various research ideas and implementing them.
Skills
Total Experience: 2+ years
  • Python (2E, 1Y)

    2 experiences, 1 year
  • Computer vision (2E, 1Y)

    2 experiences, 1 year
  • C++ (1E, 1Y)

    1 experience, 1 year
  • Tensorflow (1E, 1Y)

    1 experience, 1 year
  • Deep learning (1E, 1Y)

    1 experience, 1 year
  • Jupyter (1E, 1Y)

    1 experience, 1 year
  • Data Science (1E, 1Y)

    1 experience, 1 year
  • scikit-learn (1E, 1Y)

    1 experience, 1 year
  • Linux (1E, 1Y)

    1 experience, 1 year
  • NoSQL (1E, < 1Y)

    1 experience, less than a year
  • Firebase (1E, < 1Y)

    1 experience, less than a year
  • Android native app development (1E, < 1Y)

    1 experience, less than a year
  • Flask (1E, < 1Y)

    1 experience, less than a year
  • AWS (1E, < 1Y)

    1 experience, less than a year
  • PyTorch (1E, < 1Y)

    1 experience, less than a year
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 0h PST, 25h UTC
Day
Monday
Tuesday
Wednesday
Thursday
Friday
UTC
07 - 12
07 - 12
07 - 12
07 - 12
07 - 12
PST
00 - 05
00 - 05
00 - 05
00 - 05
00 - 05
Vetting
  • Interview Data
  • Agile Development Process
  • Productivity and Responsiveness
  • Teamwork
  • Software Engineering
  • Logical Thinking
  • Technical Strength
  • Intellectual Merit
  • English Communication
  • Documentation
  • System Design
  • Coding Challenges
    60%
  • Algorithms Score
    60%
  • General Score
    60%
  • Easy Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Medium Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Hard Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Expertise
    2/3
  • Design Patterns and Architectures
    2/3
  • Debugging
    2/3
  • Stack Traces
    2/3
  • Testing
    2/3
  • System Administration
    2/3
  • Soft Skill Attributes
    60%
  • Entrepreneurial
    60%
  • Whole Brained
    60%
  • Divergent Thinking / Creativity
    60%
  • Design Ability
    60%
  • Empathy
    60%
  • Project Management Ability
    60%
  • Security
    60%
  • Code Quality
    60%
  • Complex Logic
    60%
  • Models
    60%
  • Controllers
    60%
  • Templates
    60%
  • APIs
    60%
  • Training/Testing Data Models
    60%
  • Code Readability
    60%
  • Ongoing Evaluation
  • Number of Lifelong Learning Project
    2
  • Number of Coding Challenge Completed
    3
  • Lifelong Learning Project 1
  • Lifelong Learning Project 1
  • Coding Challenges 1
  • Coding Challenges 2
  • Coding Challenges 3
Experience
Software Developer
Employment
Jan 2020 - Jan 2020
stylex.ai Company
Arts and Entertainment Industry
Project: Computer Vision : Style Transfer
  • Flask
  • Computer vision
  • AWS
  • PyTorch
  • This is a research project into AI and Computer Vision using latest research with GAN to build a Style Tranfer Neural Network into Arts and Entertainment Industry
  • Using a huge High Resolution Image Dataset for Image Segmentation Task
  • Implementing the ideas from GAN research into a custom Neural Network with inputs from segmentation model, to produce perceptually appealing and outputs
  • Used Pytorch and its other APIs to train and deploy the model with Flask and NginX
  • Deployed the system and backend setup on AWS EC2 for application server with AWS RDS support for image database and AWS S3 for storage support
Software Developer
Employment
Sep 2018 - Mar 2019
EXL Services` Company
Finance Industry
Project: Claim Denial Prediction
  • Python
  • scikit-learn
  • Data Science
  • Jupyter
  • Linux
  • Build a classification model to predict medical claim denial for medical Insurer. Turned into positive rating for our client (Insurer) and positive dollar savings
  • This was data analytics and data science project with objective to find insights into end-to-end claim process
  • A very through EDA on the data available on the datawarehouse (Hive and SQL) was the key to success in this project
  • Used Python and Jupyter for EDA. PySpark Hive and SQL to interact with Datawarehouse. Trained a classifiaction model using RandomForest from scikit-learn
  • Deployed machine learning model into a Linux based production server
Software Developer
Employment
Jan 2018 - Sep 2018
Capgemini Company
Media and Communication Industry
Project: HandGesture Recognition
  • Python
  • Tensorflow
  • Computer vision
  • C++
  • Deep learning
  • This was a POc back when tensorflow was just a project. We were building our AI capability to showcase it to clients and my prior experience into Machine Laerning gave me an edge to build a NN Model
  • Used Tensorflow with its python api on GPU with cuda 8 and C++ libraries. Used COCO API pre-trained Network to train a custom Object Detector
  • Studied Deep Learning, Computer Vision and Neural Networks research paper to implement a real time object detection system
  • Used OpenCV's Python API to interact with the Video Camera
Software Developer
Employment
Sep 2017 - Dec 2017
Capgemini Company
Food and Agriculture Industry
Project: Android App
  • Android native app development
  • Firebase
  • NoSQL
  • Build a simple andorid app for a Big US client from Agriculture Industry.
  • It was a Android native app development with firebase NoSQL DB support
Qualifications
Education
Indian Institute of Technology, Kanpur
Jul 2013 - Jun 2017
B.Tech (Civil Engineering)
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