I am Research Engineer. I work on Speech and NLP problems. I make detailed tutorials of interesting research papers.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Deploy-ASR-in-Kubernetes
May 28, 2022 – June 4, 2022
Deploying Speech Recognition models in Kubernetes
View ProjectEmotion-Recognition-Using-MSCNN-SPU
July 1, 2021 – July 3, 2021
Emotion-Recognition-Using-MSCNN-SPU — GitHub repository
View ProjectE2E_ASR_Confidence_Estimation
May 9, 2021 – May 9, 2021
Implementation of the paper "Confidence estimation for attention based sequence to sequence models for speech recognition"
View ProjectKeyword-Transformer
April 19, 2021 – May 19, 2021
Implementation of the paper "Keyword Transformer: A Self-Attention Model for Keyword Spotting"
View ProjectAttentive-Statistics-Pooling-for-Deep-Speaker-Embedding
June 3, 2020 – June 4, 2020
Implementation of the paper "Attentive Statistics Pooling for Deep Speaker Embedding" in Pytorch
View ProjectEmotion-Identification-from-Raw-Speech-Signals-using-TDNNs
June 1, 2020 – June 11, 2020
Implementation of the paper "Emotion Identification from raw speech signals using DNNs"
View Projectx-vector-pytorch
May 30, 2020 – July 20, 2020
Implementation of the paper "Spoken Language Recognition using X-vectors" in Pytorch
View ProjectBERTphone
May 28, 2020 – December 10, 2020
Implementation of the paper "BERTphone: Phonetically-aware Encoder Representations for Utterance-level Speaker and Language Recognition"
View Projectspeech-emotion-recognition-using-self-attention
March 5, 2020 – December 20, 2020
Implementation of the paper "Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning" From INTERSPEECH 2019
View ProjectNeural-Network-Hyperparameter-Search-papers
August 20, 2018 – August 23, 2018
This repository will give papers related to techniques for neural network configuration search like evolution strategies, genetic algorithms, bayesian optimization and re-enforcement learning
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on machine learning, speech recognition, and natural language processing, primarily using Python. This indicates a strong interest in research-oriented or backend/ML engineering roles. However, the target role is 'Frontend Developer', which represents a significant mismatch with the demonstrated project portfolio. While some projects include HTML/CSS, the core focus is not frontend development. This suggests a potential misalignment with typical frontend development team cultures and priorities.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.