Vaibhav B
ML ENGINEER Preferred Title
$20.00 /hr $ 120.0K /yr Hourly Rate and Yearly Salary
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
- 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
- Desktop Linux
- Phone Android
- Tablet iPad
- 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 yearComputer vision (2E, 1Y)
2 experiences, 1 yearC++ (1E, 1Y)
1 experience, 1 yearTensorflow (1E, 1Y)
1 experience, 1 yearDeep learning (1E, 1Y)
1 experience, 1 yearJupyter (1E, 1Y)
1 experience, 1 yearData Science (1E, 1Y)
1 experience, 1 yearscikit-learn (1E, 1Y)
1 experience, 1 yearLinux (1E, 1Y)
1 experience, 1 yearNoSQL (1E, < 1Y)
1 experience, less than a yearFirebase (1E, < 1Y)
1 experience, less than a yearAndroid native app development (1E, < 1Y)
1 experience, less than a yearFlask (1E, < 1Y)
1 experience, less than a yearAWS (1E, < 1Y)
1 experience, less than a yearPyTorch (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 Challenges60%
- Algorithms Score60%
- General Score60%
- Easy Algorithm
- Correctness60%
- Performance60%
- Medium Algorithm
- Correctness60%
- Performance60%
- Hard Algorithm
- Correctness60%
- Performance60%
- Expertise2/3
- Design Patterns and Architectures2/3
- Debugging2/3
- Stack Traces2/3
- Testing2/3
- System Administration2/3
- Soft Skill Attributes60%
- Entrepreneurial60%
- Whole Brained60%
- Divergent Thinking / Creativity60%
- Design Ability60%
- Empathy60%
- Project Management Ability60%
- Security60%
- Code Quality60%
- Complex Logic60%
- Models60%
- Controllers60%
- Templates60%
- APIs60%
- Training/Testing Data Models60%
- Code Readability60%
- Ongoing Evaluation
- Number of Lifelong Learning Project2
- Number of Coding Challenge Completed3
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)