Geethanjali V
Chief Technology Officer at Ryuk Labs
Chennai, Tamil Nadu, India
Summary
👤
Senior🎓
Top SchoolGeethanjali V is a CTO and AI researcher with 9 years of experience leading Web3 and AI initiatives from Chennai, combining hands-on machine learning engineering with strategic technical leadership at Ryuk Labs. She has driven applied AI across industries—from improving drug solubility at ReechPharma to optimizing large retail assortments for Walgreens—and authored 4+ international publications. Her background spans building production ML systems (speech enhancement models using librosa and Keras) and deploying conversational AI on AWS, reflecting a rare blend of research rigor and product-focused engineering. Known for reshaping systems through decentralized and AI-driven designs, she also brings practical open-source contributions to speech algorithms that support real-world audio model training and dataset generation.
9 years of coding experience
5 years of employment as a software developer
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at Northwestern UniversityBachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Anna University Chennai
Tamil, English, Kannada
Github Skills (9)
machine-learning10
audio-processing10
librosa10
speech-processing10
sound-processing10
python10
signal-processing10
digital-signal-processing10
keras9
Programming languages (10)
Github contributions (5)
Ryuk17/SpeechAlgorithms
May 2020 - Nov 2022
You can find the speech algorithms you want here
Role in this project:
ML Engineer
ML EngineerContributions:1 review, 123 commits, 1 PR in 2 years 6 months
Contributions summary:Geethanjali's contributions primarily involve implementing and training various speech enhancement algorithms within the `speechalgorithms` repository. The commits demonstrate the creation and implementation of techniques such as Spectral Subtraction, IBM, IRM, and noise reduction algorithms. The user's work focuses on utilizing libraries such as librosa and keras for audio processing, dataset generation, model training, and audio file manipulation.
speech-recognitionspeech-synthesisspeech-processingspeechtts
Ryuk17/LeetCode
Jul 2017 - Jun 2021
Contributions:148 pushes, 1 branch in 3 years 11 months
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