Himadri Singh
Research Scientist at American Express
Gurugram, Haryana, India
Summary
👤
Senior🎓
Top SchoolHimadri Singh is a research scientist and machine learning practitioner with 8 years of experience building intelligent systems across industry R&D and enterprise analytics. Currently at American Express after roles in Samsung’s Voice Intelligence group, he blends hands-on ML research with product-focused data science to deploy NLP and ASR solutions. His work spans computer vision, bio-medical imaging, and conversational AI—evident from internships that produced deep-learning models for pose estimation and antimicrobial testing. An active open-source contributor, he enhanced a popular CLI tool for WhatsApp automation with logging, chatbot integrations, and text-to-speech features, showing full-stack fluency beyond core research. Based in Gurugram, he pairs an integrated BTech+MTech foundation with a pragmatic focus on socially beneficial intelligent systems. Colleagues describe him as curious and results-driven, often bridging prototype research and production-grade engineering.
8 years of coding experience
3 years of employment as a software developer
Integrated Btech + Mtech, Information Technology, 8.6/10, Integrated Btech + Mtech, Information Technology, 8.6/10 at ABV-Indian Institute of Information Technology and ManagementClass-XII, PCM+ C++, 94.0%, Class-XII, PCM+ C++, 94.0% at Delhi Public School, Meerut
Github Skills (10)
command-line-tool10
whatsapp10
python10
chatbot10
terminal-application9
terminal-emulator9
text-to-speech9
pyppeteer9
google-maps8
google-map8
Programming languages (4)
Github contributions (5)
whatsplay/whatsapp-play
Mar 2020 - Jun 2020
Command line software through which you can play with your WhatsApp. It is having different options to play with your WhatsApp like message blast, online tracking, whatsapp chat..
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:29 commits, 44 PRs, 86 comments in 2 months
Contributions summary:Himadri primarily focused on enhancing the WhatsApp play command-line tool by implementing new features and improving existing ones. Their contributions include adding logging capabilities using Python's logging module, integrating a chatbot with Google search and Google maps, and developing text-to-speech functionality. They also worked on improving the terminal chat functionality, including a feature to forward messages and downloading profile pictures of targets.
command-line-tooltelegram-bottrackerwhatsappwhatsapp-web
SinghHimadri/AI_game_RL_dqn
Jul 2020 - Jul 2020
Contributions:26 commits, 1 push in 10 days
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