Navonil Choudhury
Technology Lead at Infosys
Singapore
Summary
🤩
Rockstar🎓
Top SchoolNavonil Choudhury is a Technology Lead and full-stack data professional with nine years at Infosys supporting Apple’s global and APAC operations, where he progressed from system engineer trainee to decision-support lead. He combines BI and analytics leadership with hands-on machine learning experience—contributing ML engineering work on conversational emotion-recognition models that include DialogueRNN and bidirectional LSTM integrations. Based in Singapore, he specializes in turning complex operational data into actionable decision support and process improvements across large-scale enterprise programs. Known for bridging delivery and technical depth, he brings a practical mix of model development, data preprocessing, and production-focused BI solutions.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science & Engineering, 7.23 (Degree Grade Point Average), Bachelor of Technology (B.Tech.), Computer Science & Engineering, 7.23 (Degree Grade Point Average) at West Bengal University of Technology
English, Hindi, Bengali
Github Skills (13)
pytorch10
machine-learning10
lstm10
dialogue-systems10
trainings10
python10
emotion-recognition10
natural-language-processing10
modeling10
conversational-ai10
mask-rcnn9
faster-rcnn9
sentiment-analysis8
Programming languages (12)
Github contributions (5)
declare-lab/conv-emotion
Nov 2018 - Oct 2020
This repo contains implementation of different architectures for emotion recognition in conversations.
Role in this project:
ML Engineer
ML EngineerContributions:29 commits, 2 PRs, 27 pushes in 1 year 11 months
Contributions summary:Navonil contributed significantly to the implementation of various emotion recognition models, including DialogueRNN and end-to-end conversational models. They focused on integrating and training different architectures within the `conv-emotion` repository. The commits demonstrate the user's efforts in pre-processing data, model training, and performance evaluation, and also included modifications to the model and training scripts, alongside the integration of bidirectional LSTM.
emotion-recognitionnatural-language-understandingdialogue-systemssentiment-analysistensorflow
SenticNet/personality-detection
Feb 2017 - Feb 2019
Implementation of a hierarchical CNN based model to detect Big Five personality traits
Contributions:3 commits, 2 PRs, 8 pushes in 2 years
model-baseddeep-learninghierarchicaldetectpersonality
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.