Hire Aditya R. - Generative AI Engineer

About aditya

I am an AI Engineer driven by the pursuit of creating intelligent, adaptive systems that bridge language, vision, and robotics. My work lies at the intersection of Large Language Models (LLMs), Vision-Language Models (VLMs), and agentic AI frameworks, enabling robots and autonomous systems to understand context, reason dynamically, and interact seamlessly with humans. At Revobots, I have been leading initiatives that integrate transformer-based architectures and conversational AI into robotic ecosystems. I’ve designed inter-conversational agentic workflows that allow robots to engage in high-level, context-aware dialogue and decision-making. This involved building retrieval-augmented generation (RAG) systems, optimizing multimodal embeddings, and deploying scalable ML solutions using LangChain, PyTorch, and Azure ML Studio. My research interests extend to multimodal intelligence, computer vision, and embodied AI, where I explore how perception and reasoning can be unified through VLMs and generative architectures. I have hands-on experience in setting up and managing GPU environments (H100s, RTX 5080), ensuring CUDA compatibility, and optimizing deep learning workflows for both efficiency and reproducibility. Previously at Intel, I worked on 3D-ML pipeline optimization and model acceleration on Microsoft Azure, improving inference performance for complex vision tasks. I actively use MLFlow, WandB, and CI/CD pipelines to manage model experimentation, training lifecycle, and deployment. I’m deeply passionate about translating AI research into real-world robotics and healthcare solutions — from assistive robotic systems to intelligent perception models that enhance patient diagnostics and safety. My long-term goal is to engineer agentic, multimodal systems capable of human-level understanding, collaboration, and care delivery

Common Questions

Other Generative AI Engineers