Anuj Jalota is a graphics-focused software engineer with around 2 years of professional experience building OpenGLES/EGL drivers and embedded graphics software, currently working on LLMs at NVIDIA after a hands-on stint developing Adreno GPU drivers at Qualcomm. He combines low-level C/C++ device driver expertise with practical knowledge of RTOS and Android graphics stacks, enabling robust debugging and performance tuning on mobile GPUs. His background spans carrier-grade engineering roles at Qualcomm and systems development at Scientific Games and Wipro, giving him experience across both embedded and larger-system contexts. Comfortable in constrained environments, he’s skilled at translating graphics specs into efficient driver implementations and investigating subtle runtime issues. Colleagues would note his uncommon blend of driver-level pragmatism and a growing interest in AI/LLM systems at a leading GPU company.
2 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech.), Information Technology, A, Bachelor of Technology (B.Tech.), Information Technology, A at DAV Institute of Engineering and Technology
Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.
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