Leveraging accelerated computing to scale AI products with a focus on energy efficiency and sustainability.

Leveraging accelerated computing to scale AI products with a focus on energy efficiency and sustainability.

Navya
Vedachala

I'm actively seeking full-time jobs in the US

CS @ UChicago

Software Engineer | AI

Hi, I'm Navya (naav-yuh)

ML • Accelerated Computing • Full-stack
ML • Accelerated Computing • Full-stack
ML • Accelerated Computing • Full-stack
Parallelism • Distributed Systems • NLP
Parallelism • Distributed Systems • NLP
Parallelism • Distributed Systems • NLP

With a background in chemical engineering focused on environmental sustainability, I experienced the critical need for real-time decision-support tools to drive front-line climate action. I taught myself to code and collaboratively co-designed solutions with a diverse range of stakeholders—from politicians to marginalized well-diggers.

To deepen my impact, I am currently pursuing a Master's in Computer Science at the University of Chicago, specializing in Machine Learning and High-Performance Computing (HPC). My goal is to write energy-efficient, scalable code for performance-critical applications. I am particularly drawn to analyzing and unlocking potential for optimization across all layers of an AI product's stack, from the ML algorithm all the way down to the hardware.


I graduate in March 2025 and am actively seeking full-time software and AI engineering roles in the US.

Let’s connect—I’d love to discuss potential opportunities!

With a background in chemical engineering focused on environmental sustainability, I experienced the critical need for real-time decision-support tools to drive front-line climate action. I taught myself to code and collaboratively co-designed solutions with a diverse range of stakeholders—from politicians to marginalized well-diggers.

To deepen my impact, I am currently pursuing a Master's in Computer Science at the University of Chicago, specializing in Machine Learning and High-Performance Computing (HPC). My goal is to write energy-efficient, scalable code for performance-critical applications. I am particularly drawn to analyzing and unlocking potential for optimization across all layers of an AI product's stack, from the ML algorithm all the way down to the hardware.


I graduate in March 2025 and am actively seeking full-time software and AI engineering roles in the US.

Let’s connect—I’d love to discuss potential opportunities!