Pruthviraj P

Software Engineer

San Francisco, California, United States3 yrs 11 mos experience
Highly StableAI Enabled

Key Highlights

  • Expert in GPU computing and deep learning systems.
  • Proven track record in optimizing AI performance.
  • Strong foundation in cloud-based distributed architectures.
Stackforce AI infers this person is a Deep Learning and Cloud Computing specialist with a focus on performance optimization.

Contact

Skills

Core Skills

Deep LearningGpu ComputingComputer ScienceCloud ComputingSoftware Development

Other Skills

GPU performance optimizationframework validationlarge-scale model training accelerationCUDACPythoncloud APIsautomating testing frameworksoptimizing data pipelinesJavaTeam CollaborationInternet of Things (IoT)Data ScienceResiliencyAlgorithm Development

About

Innovative Software Engineer and Research Assistant with expertise in GPU computing, deep learning systems, and cloud-based distributed architectures. Passionate about optimizing performance, validating deep learning frameworks, and bridging the gap between software and hardware for next-generation AI applications. Currently working at NVIDIA as a Software Development Engineer (Deep Learning), focusing on framework validation, GPU performance optimization, and large-scale model training acceleration. Previously contributed to Clarkson University as a Research Assistant, where I leveraged CUDA, C, and Python to accelerate GPU workloads, optimize memory management, and debug multithreaded applications. Prior experience at Enquero involved developing cloud APIs, automating testing frameworks, and optimizing data pipelines to improve scalability and reliability across enterprise systems. Skilled in C, C++, Python, CUDA, AWS, Kubernetes, and DevOps tools, with a strong foundation in system architecture, machine learning, and performance tuning. Always eager to collaborate on challenging engineering problems and drive innovation in AI, distributed systems, and cloud computing.

Experience

3 yrs 11 mos
Total Experience
3 yrs 3 mos
Average Tenure
8 mos
Current Experience

Nvidia

SDE, Deep Learning

Aug 2025Present · 8 mos · Santa Clara, CA · On-site

GPU performance optimizationframework validationlarge-scale model training accelerationDeep LearningGPU Computing

Clarkson university

Intern

Jul 2025Aug 2025 · 1 mo · Potsdam, NY · On-site

CUDACPythonDeep LearningComputer Science

Enquero

2 roles

Engineer

Aug 2020Jul 2023 · 2 yrs 11 mos · Bengaluru, Karnataka, India

cloud APIsautomating testing frameworksoptimizing data pipelinesCloud ComputingSoftware Development

Software Engineer Intern

Dec 2019Apr 2020 · 4 mos · Bengaluru · On-site

JavaPython

Pes university

Intern

May 2018Jul 2018 · 2 mos · Bengaluru · On-site

Team CollaborationInternet of Things (IoT)

Education

Clarkson University

Master of Science - MS — Computer Science

Aug 2023Dec 2024

PES University

Bachelor of Technology (B.Tech.) — Electrical and Electronics Engineering

Jan 2016Jan 2020

Alva's College of Education

Jan 2014Jan 2016

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