Resume

Work
Experience

Sep 2025 - Current

Intern

At Datamind Audio, contributing to data collection for machine learning algorithms, plugin testing, and demo creation to support AI-driven audio development and evaluation.

Nov 2024 – Feb 2025

Researcher

Selected for the UKRI EPSRC-funded Music RAI: Responsible AI project; developed a CNN-based tabla stroke classifier in PyTorch using 8,000+ samples, integrating timbral and onset features with interactive Max/MSP tools for generative performance and culturally responsible AI research.

2021 - 2024

Freelance Composer/Producer

Composed and produced music for major film projects, including Netflix’s The Indrani Mukerjea Story, Disney’s Star Wars: Visions, and festival selections like Schirkoa: In Lies We Trust and A Terrible Beauty, blending folk instrumentation, vocal arrangements, and Max/MSP sound design.

Education

2024 - 2025

University of Edinburgh | MSc. Sound Design

Coursework: Audio Machine Learning, Audio Programming, Max/MSP, Game Audio

2020 - 2024

Prayag University | M.A. Indian Classical Vocals

Grade: First Division

2015 - 2019

Boston University | B.A/M.A. Economics and Mathematics

GPA: 3.72/4.0, Magna Cum Laude

Skills
& Expertise

Programming languages: C++ (JUCE), Python, Max/MSP
DAWs: Cubase, Reaper, LogicPro, Ableton Live and Pro Tools
AI Tools: Claude Code CLI, ChatGPT
Safety Training: Fire Warden & Fire Safety Awareness certified (DeltaNet International, 2025)
Languages: Hindi and English