Yash Bhake

ML Researcher and Music Enthusiast

Final year student at IIT Bombay specializing in Data Science, Music Information Retrieval, and building intelligent software solutions.

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About Me

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Bridging Technology and Expression

I'm a fourth-year student at IIT Bombay, majoring in Mechanical Engineering with a Minor in Artificial Intelligence and Data Science. I’ve always been fascinated by the application of technology in creative spheres. Expression using language, art, and music has intrigued me since childhood, especially the human nature to them. This drove me towards the challenge of working on intelligence that can interpret and generate such expressions. I’m also an ardent fan of music, and believe in the transformative impact it has on humans. My goal is to bring various forms of expressions and traditions into the computational landscape, exploring ways to understand and model them for deeper research and a more expressive world.

With publications in conferences like ISMIR and ICASSP, I've contributed to the field of Music Information Retrieval through innovative approaches to generative modeling and expressive timing analysis.

I am a creative problem solver with a strong commitment to making a positive impact. I resonate with design principles and bring a mindset focused on iterative innovation and collaboration. I'm Always eager to connect with people who share a passion for bringing technology to unexplored domains, engineering and music. Excited to connect, whether it’s opportunities, ideas, or meaningful conversations.

Publications

Research in Music Information Retrieval and AI

Melodic And Metrical Elements of Expressiveness in Hindustani Vocal Music

Y. Bhake, A. Anand and P. Rao | ISMIR 2025, Daejeon, Korea

Research focused on generative modeling in expressive classical music, exploring computational approaches to capture and model melodic and metrical expressiveness in Hindustani vocal traditions.

Generative Modeling Music Information Retrieval View on ArXiv

Expressive Timing in Hindustani Vocal Music

Y. Bhake and P. Rao | WIMAGA, ICASSP 2025, Hyderabad

Investigation into quantitative methods for capturing expressive timing in classical Indian music, with applications to computational musicology and generative modeling of musical syncopation.

Expressive Timing Computational Musicology ICASSP View on ArXiv

Professional Experience

May'25 - Jul'25

Software Engineering Intern

Deutsche Bank - Cash and Securities Portfolio

May'24 - Present

Researcher

Digital Audio Processing Lab, IIT Bombay - Prof. Preeti Rao

Side Quests

Adventures beyond the main curriculum

Spaceport America Cup

IITB Rocket Team | World's largest rocket engineering competition

  • Secured top-20 finish among 156 global teams via 9,210 ft. AGL flight.
  • Presented rocket to 1700+ rocketeers and industry leaders including Blue Origin and Virgin Galactic.
  • Prototyped and fabricated 4+ iterations of thrust vector control nozzle.

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iKshana: Accessibility Product

ITC Summer Project | 2nd prize among 110+ projects

  • Prototyped a foot harness integrated with navigation module and haptic feedback for the visually impaired.
  • Developed Android app extracting location data for long-range navigation.
  • Focused on improving mobility independence for visually impaired users.

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My Resume

Here is my latest resume. You can view it below or download the PDF.

Get In Touch

Let's connect and explore opportunities for collaboration!