Siddharth Sharma
Columbia Grain International A Marubeni Grp Company
Frisco, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolSiddharth Sharma is a senior technology and strategy leader with 11+ years of experience driving digital transformation for asset-intensive industries such as manufacturing, power utilities, and natural resources. He has led IoT, Industry 4.0, and industry cloud initiatives at Hitachi Vantara and built global sales, solutions, and P&L responsibilities across Wipro, NTT Data, and consulting firms. Currently shaping strategy at Columbia Grain International (a Marubeni group company), Siddharth combines hands-on product and ML engineering experience—contributing to expressive TTS work at MetaVoice on GitHub—with executive-level deal and solution orchestration from edge-to-cloud. He’s known for aligning cross-domain ecosystems (OT, IT, cloud, partners) to create measurable operational and commercial value for mission-critical assets. Based in Frisco, Texas, he brings a rare mix of technical contribution to open-source ML projects and large-scale strategic leadership across global markets.
11 years of coding experience
13 years of employment as a software developer
Master of Business Administration - MBA, Master of Business Administration - MBA at Indian Institute of Management Mumbai
Github Skills (15)
model-building10
pytorch10
text-to-speech10
deep-learning10
python10
ai10
modeling10
model-driven10
model-driven-development10
model-optimization9
gradio8
telemetry7
docker4
dockers4
aws3
Programming languages (5)
Github contributions (5)
metavoiceio/metavoice-src
Feb 2024 - Mar 2025
Foundational model for human-like, expressive TTS
Role in this project:
ML Engineer
ML EngineerContributions:25 reviews, 35 PRs, 61 pushes in 1 year 1 month
Contributions summary:Siddharth primarily contributed to the core functionalities of the MetaVoice project, which focuses on expressive text-to-speech synthesis. Their work included swapping speaker references and modifying the sampling process. They also addressed memory footprint optimization and added support for different hardware architectures. In addition, the user made changes related to the Gradio interface and incorporated telemetry for tracking usage patterns.
aideep-learningpytorchspeechspeech-synthesis
sidroopdaska/SelfDrivingCar
Sep 2017 - Apr 2018
Contributions:116 commits, 102 pushes, 1 branch in 7 months
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