Sneha Bhakare

AI Researcher

Mountain View, California, United States4 yrs 11 mos experience

AI EnabledHighly Stable

Key Highlights

Expert in bridging ML research and deployment.
Led innovative projects in speech generation and generative AI.
Passionate about advancing human-AI interaction.

Stackforce AI infers this person is a Machine Learning Engineer specializing in AI-driven applications and generative technologies.

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Skills

Core Skills

Machine LearningComputer Graphics

Other Skills

Speech GenerationGenerative AINeural RenderingText RenderingTexture FilteringVR3D Shape AlignmentComputer ScienceJavaC++Python (Programming Language)

About

I specialize in building the bridge between ML research and deployment. Currently, my work at Apple focuses on speech generation for Siri, making interactions more natural and human-like. Previously, I contributed to Vision Pro, where led the development of algorithms in neural rendering and generative AI for applications in content creation. My broader interests include robotics and embodied AI, where I see exciting opportunities for the next wave of intelligent systems. I’m passionate about advancing ideas from research into impactful products that shape the future of human–AI interaction.

Experience

4 yrs 11 mos

Total Experience

4 yrs 7 mos

Average Tenure

4 mos

Current Experience

Wayve

Senior Machine Learning Engineer

Feb 2026 – Present · 4 mos · United States

Apple

2 roles

Senior Machine Learning Engineer

Jul 2021 – Feb 2026 · 4 yrs 7 mos · Cupertino, California, United States · Hybrid

Speech Generation for Apple Foundation Model - Siri
Led 2D/3D Generative AI, Neural Rendering - Vision Pro

Speech GenerationGenerative AINeural RenderingMachine LearningComputer Graphics

Machine Learning Intern

Jun 2020 – Aug 2020 · 2 mos · Remote

NeRF with Dynamic Lighting - Vision Pro

University of utah

Research Assistant

Aug 2020 – May 2021 · 9 mos · Salt Lake City, Utah, United States · Hybrid

Text Rendering in VR
Advisors: Cem Yuksel (UoU), Larry Seiler (Meta Reality Labs)
Developed a texture filtering algorithm to minimize text blurring in VR headsets, improving readability for immersive experiences

Text RenderingTexture FilteringVRComputer Graphics

University of utah

Research Assistant

Jan 2020 – May 2020 · 4 mos · Remote

3D Shape Alignment for Craniosynstosis Detection
Advisor: Ladislav Kavan (UoU)
Researched ML methods for 3D shape alignment (rotation + translation) to optimize input for the DeepSSM network