Pakhi Bamdev
Software Engineer at PolyAI
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolPakhi Bamdev is a software engineer with nine years of experience specializing in speech and natural language processing, currently working at PolyAI and pursuing a Master's in Artificial Intelligence at the University of Edinburgh. She has a strong research-to-production track record from roles at IIIT Delhi and Skit, including publications on ASR hypothesis fusion for SLU and automated speech scoring. Her background blends applied ML engineering—building multilingual voice-bots and deployable recommender proofs-of-concept—with dataset creation and rigorous evaluation of linguistic cues. Based in London, she bridges academic research and practical systems, often focusing on multimodal approaches to speech and language understanding. An understated strength is her history of shipping both scientific contributions and production services, reflecting comfort across experimentation, dataset curation, and deployment.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at The University of EdinburghBachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at Guru Gobind Singh Indraprastha University
English, Hindi
Github Skills (80)
robotics9
alarm9
census9
clock9
computer-vision8
rnn-model8
lstm-neural-networks8
recurrent-neural-networks8
natural-language-processing8
gru8
datasets7
deep-learning7
outlier-detection7
movie7
speech7
Programming languages (6)
Github contributions (5)
mohitsharma29/ML-Reading-Group
Aug 2020 - Mar 2021
Contributions:17 commits, 16 pushes, 1 branch in 7 months
mohitsharma29/Awesome-Learning-with-Label-Noise
Mar 2020 - Sep 2020
A curated list of resources for Learning with Noisy Labels
Contributions:2 PRs, 62 pushes in 6 months
noisy-labelsnoisylearning-with-noisy-labels
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