Praveen Velliengiri

Software Engineer

United States5 yrs 3 mos experience

Key Highlights

Expert in GPU compiler enhancements and machine learning frameworks.
Strong foundation in algorithms and data structures.
Passionate about solving complex low-level systems problems.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Compiler Design and Machine Learning.

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Skills

Core Skills

Compiler Design

Other Skills

C++Computer HardwareDistributed SystemsGo (Programming Language)JIT compilersLinuxOperating SystemsPythonSecuritysystems for ML

About

🌟 Computer Science grad student at Penn State, worked at AMD GPU ML/HPC compute compiler for 3 years. I'm very much interested in solving complex problems related to low-level systems. I love to solve computational programming problems and have a good understanding of algorithms and data structures! Let's connect and explore the intersection of cutting-edge research and practical applications! 🌐 #CSGradLife #MachineLearning #SoftwareEngineering #Algorithms

Experience

Apple

Software Engineer

Jul 2025 – Present · 8 mos · San Francisco Bay Area · On-site

Amazon web services (aws)

SWE Intern

May 2024 – Aug 2024 · 3 mos · Greater Seattle Area

Worked on bridging the gap between imperative and relational semantics of database queries in Aurora database (Postgres & Babelfish t-SQL variant).

Amd

Software Engineer

Oct 2020 – Aug 2023 · 2 yrs 10 mos · Bangalore Urban, Karnataka, India

Worked on GPU compiler enhancements for data center GPUs and GPUs developer tools.

Intel corporation

Intern

Dec 2019 – May 2020 · 5 mos

Worked on Machine learning frameworks for Intel AI chips.

Google summer of code

Summer Intern

May 2019 – Aug 2019 · 3 mos

Worked on LLVM compiler infrastructure project - as a google summer of code student.
Tech Stack : C++, JIT compilers, Python (for benchmarking).

Dell emc

Student Intern

May 2018 – Nov 2018 · 6 mos · Pune/Pimpri-Chinchwad Area

Google summer of code

Student Intern

May 2017 – Aug 2017 · 3 mos

Designed a feature in HPX - “High-Performance Computing C++ Runtime System” for allocating and distributing data objects over the cluster of compute nodes by using chapel programming language’s domain maps- an abstract concept for distributing the multi-dimensional index-based data structure over a cluster of computers.