Bedapudi Praneeth

Senior NLP Engineer at DeepAffects (Acquired by RingCentral)

Mumbai, Maharashtra, India
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Summary

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Bedapudi Praneeth is a Senior NLP Engineer with a decade of experience building production-grade speech and language systems from Mumbai. He has led end-to-end ASR and conversational AI projects—tuning language models, implementing hot-swappable inference pipelines, and shipping smart punctuation and chapter-detection APIs at DeepAffects (now RingCentral). Earlier roles span document understanding, low-data NER, and robust extraction from noisy OCR’d contracts, plus practical experience accelerating search and migration pipelines. He contributes to open-source ML tooling (notably work on a lightweight NudeNet nudity detector) and is comfortable taking models from research through dockerized, Kubernetes-deployed production services. Trained at IIT Guwahati, he blends strong engineering pragmatism with research-minded experimentation, often squeezing large gains in latency and accuracy for real-world constraints.
code10 years of coding experience
job2 years of employment as a software developer
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Indian Institute of Technology, Guwahati
languagesHindi, English, Telugu
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Github Skills (8)

object-detection10
keras10
computer-vision10
machine-learning10
python10
image-processing10
tensorflow9
onnx8

Programming languages (7)

C++CSSCJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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notAI-tech/NudeNet

Feb 2019 - Nov 2022

Lightweight nudity detection
Role in this project:
userML Engineer
Contributions:5 releases, 1 review, 117 commits in 3 years 8 months
Contributions summary:Bedapudi primarily contributed to the development of a nudity detection system, evidenced by the addition of a classifier module and a detection module. Their work involved loading and processing images, creating a classifier using Keras, and integrating a detection model. They made changes to function names and updated setup files, indicating involvement in model development, and potentially some packaging or deployment aspects.
nudity-detectionnsfw-recognitioncensorshipobject-detectionkeras
bedapudi6788/seqtag-keras

May 2019 - Aug 2020

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.
Contributions:24 commits, 19 pushes, 7 branches in 1 year 3 months
crflstmnamed-entity-recognitionpart-of-speech
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