Senior Research Engineer in Deep Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
imdb-sentiment-bidirectional-LSTM
June 7, 2018 – June 18, 2018
Sentiment classification on the IMDB dataset using a Bidirectional LSTM
View ProjectPeer-reviews-NLP
June 4, 2018 – November 12, 2018
Perform Sentiment, Volume and Emotion Analysis using NLP on peer reviews.
View ProjectTwitter-sentiment-analytics-with-Spark-and-Kafka
February 24, 2018 – February 24, 2018
Basic sentiment analysis of real-time tweets with the help of Spark’s streaming APIs
View ProjectFrogger-JS-Game
February 24, 2018 – February 24, 2018
A simple frogger like game using WebGL and Three.js
View ProjectQuora-question-pairs
February 24, 2018 – July 10, 2018
A stacked deep learning model based on sequence modelling with layers of LSTMs & GRUs to classify whether pairs of questions on Quora are duplicate or unique
View ProjectPhoto-Calorie-Diary
February 24, 2018 – February 25, 2018
An Android application that can automatically estimate calories per serving present from pictures of food
View ProjectPeer-to-Peer-Centralized-Index-System
February 23, 2018 – February 23, 2018
Create a server-client infrastructure with the server managing clients using a Centralized Index.
View ProjectCompiler-For-C
February 23, 2018 – February 23, 2018
BASIC COMPILER FOR C BASED ON A LL (1) PARSER AND BUILT IN PYTHON
View ProjectImage-Synthesis-Using-GAN
February 23, 2018 – February 26, 2018
An end to end model that can synthesize images from a given text using GAN(Generative Adversarial Networks).
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning. However, the projects are predominantly academic or personal, lacking evidence of collaborative team environments or industry-standard practices. The target role 'Deep Learning Research Engineer' aligns with the candidate's project focus on deep learning and NLP, but the breadth of technologies outside Python for deep learning is limited. The absence of professional experience or team-based projects makes it difficult to assess cultural fit comprehensively.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.