Nirav Madhani Email & Phone Number

I am an experienced Software Engineer with a focus on Machine Learning and MLOps, constantly exploring the latest advancements in AI, such as Large Language Models (LLMs), LangChain, and scalable systems optimization. At ARGO DATA, I’ve successfully led efforts to build scalable infrastructure, including optimizing REST APIs that serve over half a million users and fine-tuning LLM models using LoRA, reducing training time by 170% and infrastructure costs by 35%.Beyond my work at ARGO DATA, I have extensive experience in developing Embodied LLM agents. I created a framework for LLM embodiment in 3D environments using Unity and Python, allowing AI agents to interpret natural language commands and perform tasks in virtual worlds. This project leverages JSON-RPC communication, modular architecture, and ReAct agents, showcasing how cutting-edge AI can be applied to interactive virtual agents.Additionally, I developed a robotic system that applies deep learning and computer vision for visual object searching and grasping tasks. This system uses Inverse Kinematics (IK) for precise movement and integrates LLM-driven decision-making to control the robot's actions efficiently. These projects emphasize my ability to bridge the gap between AI agents and real-world physical systems.My expertise extends to MLOps, where I’ve built robust CI/CD pipelines and automated model versioning and deployment. Notably, I’ve created a cost-effective solution using Google Colab as a GPU runner for GitHub Actions, making GPU resources accessible for machine learning CI/CD workflows, enabling students and professionals to easily adopt these essential practices.I am well-versed in the latest tools and technologies like PyTorch, TensorFlow, and LangChain, and I enjoy creating AI-powered solutions that transform complex workflows into efficient, scalable systems. I am also pursuing an MS in Computer Science at the University of Texas at Austin, with a focus on Reinforcement Learning, Deep Learning, and NLP.Let’s connect to discuss AI, ML, or how we can collaborate to build innovative solutions in the tech space!

Listed skills include Artificial Neural Networks, Scikit Learn, Deep Neural Networks, Data Science, and 36 others.