Rajesh Dixit — Software Engineer

As a Generative AI Engineer at NVIDIA with 4.2 year of experience, I work at the intersection of cutting-edge research and real-world deployment, helping shape the future of AI through scalable, efficient, and groundbreaking generative models. With a strong foundation in deep learning, large-scale model training, and GPU-accelerated computing, I contribute to building next-generation tools and frameworks that empower developers, researchers, and enterprises across industries. My focus spans across: Designing and optimizing large multimodal models (LLMs, diffusion, transformer-based architectures) Training and fine-tuning generative models on NVIDIA’s GPU-accelerated infrastructure Contributing to open-source projects and internal toolchains (e.g., TensorRT, Triton Inference Server) Collaborating with product and research teams to bring state-of-the-art capabilities into NVIDIA’s platforms, including Omniverse, NeMo, and DGX systems I’m passionate about responsible AI development, efficient model deployment, and building systems that are not only powerful but also accessible and scalable. At NVIDIA, I’m part of a team that’s redefining what’s possible with AI—whether it’s through real-time generation, personalized assistants, or simulation environments that blur the line between virtual and real.

Stackforce AI infers this person is a Generative AI Engineer specializing in scalable AI solutions and model optimization.

Location: Pune, Maharashtra, India

Experience: 5 yrs 1 mo