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$25 USD / hour
Flag of INDIA
gandhinagar, india
$25 USD / hour
It's currently 1:15 AM here
Joined April 5, 2018
0 Recommendations

Vaibhavkumar P.

@vaibhav290797

4.8 (13 reviews)
4.7
4.7
82%
82%
$25 USD / hour
Flag of INDIA
gandhinagar, india
$25 USD / hour
100%
Jobs Completed
100%
On Budget
87%
On Time
17%
Repeat Hire Rate

Software Developer

I am a full-time Software development freelance engineer working with React and Node, JS. Technologies: JavaScript, Data Architecture, API Architecture, REST APIs, Microservices, JavaScript 6, React, AWS Lambda, AWS DynamoDB, Node.js, Django, Artificial Intelligence (AI), Document Processing, Custom BERT, MySQL, SQLAlchemy, Recommendation Systems, Amazon Web Services (AWS), Python, Flask, AWS, Natural Language Processing (NLP), SpaCy, Docker, Google Cloud Platform (GCP) Full-stack software developer: 1. Created an internal npm library for reporting. Fetched and formatted data from Elastic Search, S3, and DynamoDB. 2. Worked on a new logic in Express.js (Node.js) when an asset is granted/revoked to sub-account, which reduced the computation as well as database cost 100 fold. 3. Worked on the dark theme, live training, reporting, and live class on the platform. 4. Created and deployed a research paper summarizer that takes the full text of the paper and classifies each sentence into various buckets such as research goal, novelty, and limitations. Deployed the app on EC2 and on AWS Lambda. 5. Worked on PDF parsing pipeline. Gathered multiple available PDF parsers and combined those outputs. Deployed on AWS. 6. Deployed figure extraction library on AWS EC2 with health check alarms, auto-scaling, and reporting.

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Portfolio

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9052872

Reviews

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Showing 1 - 5 out of 14 reviews
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5.0
$200.00 USD
He is familiar with Machine learning and python. Very good job. very supportive. Good communication
L
Closed User
@Lifu0415
•
6 years ago
5.0
$137.67 USD
He is a real scientist.
J
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@jkenei
•
6 years ago
4.0
$350.00 USD
He has the deep learning expertise.
Python
K
Flag of Jiri M.
@karacm
•
6 years ago
5.0
$75.00 USD
Perfect work again, really it's my good luck working with you sir. Realy thanks so much, perfect job with high-quality results. Thanks for your advice and your patience. Recommended
Machine Learning (ML)
Face Recognition
Data Science
Artificial Intelligence
+1 more
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Flag of Zied S.
@deeperdragon
•
6 years ago
5.0
$100.00 USD
another time I work with him and he is very professional and complete the project with success and total satisfaction. very recommended
Machine Learning (ML)
Face Recognition
Data Science
Artificial Intelligence
+1 more
User Avatar
Flag of Zied S.
@deeperdragon
•
6 years ago

Experience

SDE-ML

Raxter
Apr 2020 - Feb 2021 (10 months, 1 day)
Created and deployed a research paper summarizer that takes the full text of the paper and classifies each sentence into various buckets such as research goal, novelty, and limitations. Deployed the app on EC2 and on AWS Lambda. Worked on PDF parsing pipeline. Gathered multiple available PDF parsers and combined those outputs. Deployed on AWS. Deployed figure extraction library on AWS EC2 with health check alarms, auto-scaling, and reporting.

Full-stack Developer

Lyearn
Dec 2018 - Mar 2020 (1 year, 3 months)
Created an internal npm library for reporting. Fetched and formatted data from Elastic Search, S3, and DynamoDB. Worked on a new logic in Express.js (Node.js) when an asset is granted/revoked to sub-account, which reduced the computation as well as database cost 100 fold. Worked on the dark theme, live training, reporting, and live class on the platform.

SDE-ML

Visionion
Apr 2018 - Dec 2018 (8 months, 2 days)
Provided services for prototyping, development, and deployment of machine learning algorithms. Worked on image classification, object detection, and image super-resolution. Contributed to an IoT project in Python and React, which uses serial communication and picoscope hardware.

Education

Bachelor's Degree in Computer Science

Dhirubhai Ambani Institute of Information and Communication Technology, India 2014 - 2018
(4 years)

Publications

Convolutional neural network with transfer learning for rice type classification

SPIE digital library
This paper proposes a deep learning based method for classification of rice types. We propose two methods to classify the rice types. In the first method, we train a deep convolutional neural network (CNN) using the given segmented rice images. In the second method, we train a combination of a pretrained VGG16 network and the proposed method, while using transfer learning in which the weights of a pretrained network are used to achieve better accuracy.

A generative adversarial network for tone mapping HDR images

Springer
We are proposing a novel generative adversarial network to learn a combination of these tone mapping operators. In order to get pixel level accuracy, we are using residual connections between same-sized network layers. We compare this method with some of the existing tone mapping operators and observe that our method generates images with comparably high TMQI and indeed works on many different types of images.

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