Tapas Nayak

Backend Engineer

https://talent.gravityer.com/tapas-nayak

Scientist

TCS R&I

Key Strengths

Demonstrated experience in Natural Language Processing (NLP) and Machine Learning (ML) through multiple personal projects.
Proficiency in Python for developing neural network models and data processing tools.
Experience with deep learning frameworks like Keras (implied by 'Keras based neural model').

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on academic/research-oriented NLP and ML, primarily in Python. While this demonstrates strong technical depth in a specific area, the diversity of technologies and project types for a general 'Backend Engineer' role is limited. The single professional experience listed is current and in a 'Backend Engineer' role, which aligns with the target, but no details are provided to assess fit beyond the title. The candidate's experience level is listed as 0, which contradicts the current full-time role, suggesting a data discrepancy or entry-level professional experience.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

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Projects

CEPN

October 6, 2021 – March 8, 2022

Code for causality extraction.

View Project

MHRE

July 27, 2021 – August 24, 2021

MHRE — GitHub repository

View Project

CS60075-IITKGP-Shared-Resources

January 19, 2021 – March 30, 2022

CS60075 NLP, Spring 2021 at IIT Kharagpur

View Project

PtrNetDecoding4JERE

November 11, 2019 – February 28, 2020

Code for modeling encoder-decoder architecture with pointer network for joint entity and relation extraction (AAAI 2020).

View Project

MFA4RE

September 2, 2019 – February 28, 2020

Code for modeling attention network for distant supervised relation extraction (CoNLL 2019).

View Project

Neural-POS-Tagger

October 7, 2018 – February 20, 2021

This repository contains two neural part-of-speech tagging models for English. One model is based on LSTM network and other one is based on feed-forward neural network.

View Project

CQA

January 8, 2018 – January 8, 2018

This is a neural network based project for community question answering.

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DocumentRetriever

January 8, 2018 – January 8, 2018

This is a python based document retrieval system.

View Project

Answer-Sentence-Selection

November 23, 2016 – November 25, 2016

This is a Keras based neural model for answer sentence selection task.

View Project

TMCleaning

May 3, 2016 – May 3, 2016

This is a rule based translation memory cleaning tool.

View Project

Key Strengths

Demonstrated experience in Natural Language Processing (NLP) and Machine Learning (ML) through multiple personal projects.
Proficiency in Python for developing neural network models and data processing tools.
Experience with deep learning frameworks like Keras (implied by 'Keras based neural model').

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Tapas Nayak

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit