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$7 USD / hora
Bandera de INDIA
new delhi, india
$7 USD / hora
Aquí son las 4:18 a. m.
Se unió el febrero 2, 2019
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Mayank J.

@jha66144

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Machine learning || Deep Learning Researcher

I am currently working as a Deep Learning Engineer at a startup. Here, I am working on NLP and implementing different State of the Art Models like BERT, Transformers. Also, for relation extraction I am working on building a Knowledge Graph. During my undergrad, I did internships related to machine learning and deep learning at NTU Singapore, CSIR-CDRI, DRDO, India. Also apart from all these I have worked on some personal projects - Machine Translation (Paper also accepted in Springer), Image Captioning (selected among top 100 projects from India at IISF ), Alzheimer's Disease Prediction using NLP (Novel approach and submitted in SCI- Indexed journal
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Portafolio

8528551
I have implemented Encoder-Decoder with Attention model for translating from English to German. Resulted model performed similar to Google Translator for short sentences.
Neural Machine Translation
I have implemented Encoder-Decoder with Attention model for translating from English to German. Resulted model performed similar to Google Translator for short sentences.
Neural Machine Translation
8528525
MACHINE LEARNING APPROACH TO PREDICT ALZHEIMER’S DISEASE
8528512
I have designed CNN-LSTM with Attention model. Designed model was able to outperform many of the earlier benchmarks and achieved an accuracy of 87.51%. The work is currently submitted for publication in a SCI-Indexed Jouranl
Detection of Linguistic Cues in Alzheimer's Disease Patients
I have designed CNN-LSTM with Attention model. Designed model was able to outperform many of the earlier benchmarks and achieved an accuracy of 87.51%. The work is currently submitted for publication in a SCI-Indexed Jouranl
Detection of Linguistic Cues in Alzheimer's Disease Patients
8528551
I have implemented Encoder-Decoder with Attention model for translating from English to German. Resulted model performed similar to Google Translator for short sentences.
Neural Machine Translation
I have implemented Encoder-Decoder with Attention model for translating from English to German. Resulted model performed similar to Google Translator for short sentences.
Neural Machine Translation
8528525
MACHINE LEARNING APPROACH TO PREDICT ALZHEIMER’S DISEASE
8528512
I have designed CNN-LSTM with Attention model. Designed model was able to outperform many of the earlier benchmarks and achieved an accuracy of 87.51%. The work is currently submitted for publication in a SCI-Indexed Jouranl
Detection of Linguistic Cues in Alzheimer's Disease Patients
I have designed CNN-LSTM with Attention model. Designed model was able to outperform many of the earlier benchmarks and achieved an accuracy of 87.51%. The work is currently submitted for publication in a SCI-Indexed Jouranl
Detection of Linguistic Cues in Alzheimer's Disease Patients

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Bandera de Software D.
@jonleets
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hace 3 años

Experiencia

Deep Learning Engineer

Moodboard Analytics
sept 2020 - Presente
•Implemented Knowledge Graph on product descriptions to extract the relation between various product features. Implemented BERT variants for Sentiment Analysis and Name-Entity Recognition.

Research Intern

DRDO, India
ene 2020 - may 2020 (4 meses, 1 día)
• Worked under Akhilesh Kumar (Scientist at DIPR Lab, DRDO). • Created a dataset of 1000+ Day and Night images and implemented MUNIT paper to improve the current Image to Image translation model that can translate in all real-life scenarios. •Experimented with various CNN architectures and tweaking the loss function of the MUNIT paper. •Resulted model translated successfully for most of the captured scenarios.

Research Intern

NTU Singapore
may 2019 - ago 2019 (3 meses, 1 día)
• Worked under Asst. Prof. Lam Siew Kei in Hardware and Embedded Systems Lab (HESL). • Worked on Image to Image Translation using conditional GANs. The objective of the project was to translate the images from day to night and vice versa. • Implemented both supervised and unsupervised approach for Image to Image translation. • Implemented UNet architecture for the generator and PatchGAN for the discriminator. • Model built generated appealing results for day to night.

Educación

B.Tech

Shri Mata Vaishno Devi University, India 2016 - 2020
(4 años)

Calificaciones

Participation

India International Science Festival(IISF) 2018
2018
Based on my project on Image caption generation I was selected among top 100 students in India for project presentation.

Publicaciones

Comparative Assessment of Image Captioning Models

Journal of theoretical and computational nanoscience(SCOPUS Indexed)
This paper describes about all the methods that have been used in the past for Image caption generation. The link to my paper is https://www.ingentaconnect.com/content/asp/jctn/2020/00000017/00000001/art00073

Neural Machine Translation

IETE Springer Series
I have implemented encoder-decoder neural machine translation method for the language translation from German to English .

Contacta Mayank J. sobre tu trabajo

Inicia sesión para comentar cualquier detalle por chat.

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Principales habilidades

Python
Test Automation
Machine Learning (ML)
Natural Language
C++ Programming

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