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$25 USD / hour
Flag of INDIA
kharagpur, india
$25 USD / hour
It's currently 2:01 AM here
Joined January 25, 2018
0 Recommendations

Ankit P.

@Innovation22

 5.0 (4 reviews)
2.4
2.4
100%
100%
$25 USD / hour
Flag of INDIA
kharagpur, india
$25 USD / hour
75%
Jobs Completed
100%
On Budget
100%
On Time
N/A
Repeat Hire Rate

Software Engineer || Samsung Research

Engineering Graduate Student at IIT KHARAGPUR. My expertise lie in: 1) Software programming (C, C++, MATLAB, Python, Java etc.) 2) Academic Research (Machine Learning, NLP, Vision etc.) 3) Data Analytics (Regression, Pattern Recognition, Finance etc.) Contact me for related projects.
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Portfolio

7027635
Anti-Spoofing || Biometric ID
7026795
I made this app for a client from the education industry. This app lets you recognize the face for automatic attendance and also detects for mask compliance.
Face Recognition and Mask Detection
I made this app for a client from the education industry. This app lets you recognize the face for automatic attendance and also detects for mask compliance.
Face Recognition and Mask Detection
6111437
Logical Itemset Mining is a framework which aims to map latent concepts (ex .customer intent in retail) in a text tagset. The advantage of this framework is that it is noise robust and scalable and works well in practice on large datasets.
Distributed LISM [Logical Item Set Mining]
Logical Itemset Mining is a framework which aims to map latent concepts (ex .customer intent in retail) in a text tagset. The advantage of this framework is that it is noise robust and scalable and works well in practice on large datasets.
Distributed LISM [Logical Item Set Mining]
Logical Itemset Mining is a framework which aims to map latent concepts (ex .customer intent in retail) in a text tagset. The advantage of this framework is that it is noise robust and scalable and works well in practice on large datasets.
Distributed LISM [Logical Item Set Mining]
6111433
Worked on improving quality of Slow motion Videos. Enhanced low quality, high frame rate videos for better user experience. Low light slow motion videos recorded from mobile phone camera are low on quality. This project increases the visual appeal and generates a higher quality video.
AI based Low-exposure Video Enhancement
Worked on improving quality of Slow motion Videos. Enhanced low quality, high frame rate videos for better user experience. Low light slow motion videos recorded from mobile phone camera are low on quality. This project increases the visual appeal and generates a higher quality video.
AI based Low-exposure Video Enhancement
Worked on improving quality of Slow motion Videos. Enhanced low quality, high frame rate videos for better user experience. Low light slow motion videos recorded from mobile phone camera are low on quality. This project increases the visual appeal and generates a higher quality video.
AI based Low-exposure Video Enhancement
6111399
Worked on a surviellance project to track people and identify their faces. It involved working in Python using Image Processsing and Deep Learning.
Face tracking and Recognition
Worked on a surviellance project to track people and identify their faces. It involved working in Python using Image Processsing and Deep Learning.
Face tracking and Recognition
Worked on a surviellance project to track people and identify their faces. It involved working in Python using Image Processsing and Deep Learning.
Face tracking and Recognition
7027635
Anti-Spoofing || Biometric ID
7026795
I made this app for a client from the education industry. This app lets you recognize the face for automatic attendance and also detects for mask compliance.
Face Recognition and Mask Detection
I made this app for a client from the education industry. This app lets you recognize the face for automatic attendance and also detects for mask compliance.
Face Recognition and Mask Detection
6111437
Logical Itemset Mining is a framework which aims to map latent concepts (ex .customer intent in retail) in a text tagset. The advantage of this framework is that it is noise robust and scalable and works well in practice on large datasets.
Distributed LISM [Logical Item Set Mining]
Logical Itemset Mining is a framework which aims to map latent concepts (ex .customer intent in retail) in a text tagset. The advantage of this framework is that it is noise robust and scalable and works well in practice on large datasets.
Distributed LISM [Logical Item Set Mining]
Logical Itemset Mining is a framework which aims to map latent concepts (ex .customer intent in retail) in a text tagset. The advantage of this framework is that it is noise robust and scalable and works well in practice on large datasets.
Distributed LISM [Logical Item Set Mining]
6111433
Worked on improving quality of Slow motion Videos. Enhanced low quality, high frame rate videos for better user experience. Low light slow motion videos recorded from mobile phone camera are low on quality. This project increases the visual appeal and generates a higher quality video.
AI based Low-exposure Video Enhancement
Worked on improving quality of Slow motion Videos. Enhanced low quality, high frame rate videos for better user experience. Low light slow motion videos recorded from mobile phone camera are low on quality. This project increases the visual appeal and generates a higher quality video.
AI based Low-exposure Video Enhancement
Worked on improving quality of Slow motion Videos. Enhanced low quality, high frame rate videos for better user experience. Low light slow motion videos recorded from mobile phone camera are low on quality. This project increases the visual appeal and generates a higher quality video.
AI based Low-exposure Video Enhancement
6111399
Worked on a surviellance project to track people and identify their faces. It involved working in Python using Image Processsing and Deep Learning.
Face tracking and Recognition
Worked on a surviellance project to track people and identify their faces. It involved working in Python using Image Processsing and Deep Learning.
Face tracking and Recognition
Worked on a surviellance project to track people and identify their faces. It involved working in Python using Image Processsing and Deep Learning.
Face tracking and Recognition

Reviews

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Showing 1 - 4 out of 4 reviews
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0.0
$10.00 CAD
Artificial Intelligence Task
The project is not completed according to the dispute
Python
Machine Learning (ML)
Artificial Intelligence
Computer Science
Deep Learning
A
Flag of A I.
@amirizadpanah89
•
4 years ago
5.0
₹8,000.00 INR
Project for Ankit P.
It was great working with Ankit. He is a dedicated and reliable person. The work quality was great and delivered perfectly in time.
Graphic Design
WordPress
Visual Arts
Social Media Marketing
+1 more
User Avatar
Flag of Nidhi G.
@preetisharma8745
•
4 years ago
5.0
€30.00 EUR
Project 25469343 has been deleted
Delivered good results within the desired time-frame with an exellent style of communication. Would recommend anyone to hire Ankit.
User Avatar
Flag of Hendrik P.
@hfdp
•
4 years ago
5.0
$25.00 USD
Project 16921824 has been deleted
One of the best freelancer I had so far. He can understand what I’m trying to say very quick. And he’s really fast and friendly. A++
R
Closed User
@ronraj
•
6 years ago

Experience

Research Intern [Visual Intelligence Group]

Samsung Research (India)
May 2019 - Jul 2019 (2 months, 1 day)
• Worked on Enhancing Super slow motion video by noise modelling using Deep Learning. • Built an end to end pipeline to enhance Super Slow Motion videos in low-light scenarios. • Used a hybrid CNN-RNN model to maintain temporal consistency in the video. • Achieved better performance than state-of-the-art DnCNN model.

Research Intern [Tracking and Surveillance Team]

JIO - AI Research
May 2018 - Jul 2018 (2 months, 1 day)
• Developed an AI based real time multi-face-tracking and recognition module using Deep Learning. • Created an end to end service module to track and recognize people in a video clip. • Implemented distributed-hierarchical-clustering to optimize API runtime using Spark.

Research Intern [Machine Learning Team]

Conduent Labs India
Dec 2017 - Jan 2018 (1 month, 1 day)
• Worked on Social Media Analytics for Enhanced Urban Transportation. • Used Crimson Hexagon and Twitter API to fetch tweets from twitter for sentiment analysis. • Implemented a real-time Multiple Object Tracking system using Job-Assignment analogy.

Education

Electronics and Communication Engineering

Indian Institute of Technology, Kharagpur, India 2015 - 2020
(5 years)

Qualifications

NTSE Scholar

NCERT [National Council of Educational Research and Training]
2013
Performed in top 0.1% students who cleared the exam and became NTSE scholar.

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Certifications

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Top Skills

Graphic Design 2
WordPress 2
Python 1
Machine Learning (ML) 1
Visual Arts 1

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