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5

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Compiler Sutra L:1 - 1:1 Mentorship Program

Unlock Your Potential as a Compiler Developer
$2$6
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5

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$9
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C++ Tutorials

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Video meeting . 120 mins

1:1 Mentorship

Comprehensive C++ Tutorial: Three-Month
$336$560
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Master the Fundamentals
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Compiler Sutra L:1 - 1:1 Mentorship Program
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Ratings and feedback

5/5
18 ratings
17
Testimonials
5/5
I recently had a 1-1 call with Abinav Bhaiya, and it was an amazing experience! He is incredibly helpful, and his guidance is truly top-notch. During the call, he patiently answered all my questions and provided valuable insights that have really helped me. I’m so grateful for his support and highly recommend him to anyone looking for great mentorship!
5/5
1. He first discuss about my schedule and then guided me how can I manage the time which I find is very useful apart from learning how can we manage the time also play a crucial role which he guided me . Being very professional not wasting time on intro and other things directly communicate on what I need
5/5
I had no prior experience with LLVM, so getting started felt like a daunting task. Thankfully, Abhinav's deep expertise and guidance made all the difference. His valuable insights on where to begin, what resources to focus on, and his continuous follow-ups were incredibly helpful. Working with him has been a significant learning curve, and I’m genuinely grateful for his mentorship.

About me

As a GPU Compiler Performance Analyst at Qualcomm, I am an essential member of a dynamic team dedicated to delivering optimized, reliable, and high-performance compiler solutions tailored for diverse GPU architectures. Drawing upon my expertise in LLVM, MLIR, and machine learning (ML)/artificial intelligence (AI) techniques within compilers, I play a crucial role in designing and implementing compiler optimizations that exploit specific GPU features and requirements, such as code generation, memory access patterns, and parallel execution. I assume a pivotal role in crafting and implementing compiler optimizations specifically tailored to leverage the unique features and demands of various GPU architectures. My focus spans from code generation and memory access patterns to parallel execution, ensuring our solutions achieve unparalleled performance and reliability. Role and Responsibilities: Compiler Optimization: Leveraging the modular framework of LLVM, I design and implement compiler optimizations customized for specific GPU architectures. This involves refining code generation strategies, optimizing memory access patterns, and maximizing parallel execution to achieve peak performance. Performance Benchmarking: I am responsible for developing and executing comprehensive performance benchmarking tests to evaluate the effectiveness of compiler optimizations. By analyzing critical metrics such as execution time, memory usage, and power consumption across diverse workloads and scenarios, I ensure that our compiler solutions meet stringent performance targets. Hands-on Experience: I bring significant hands-on experience in various aspects of compiler development and validation. Additionally, I am proficient in Python and Bash scripting, as well as the Make and CMake build systems. My expertise extends to various standards of C++, enabling me to navigate complex compiler toolchains with ease. With a comprehensive skill set encompassing compiler optimization, performance benchmarking, and hands-on experience with Python, Bash, Make, CMake, and various C++ standards, I am well-equipped to contribute effectively to the development of high-performance compiler solutions