Alind G•••

About

On the record

I'm an AI Research Engineer with 3+ years of experience designing, building, and deploying scalable machine learning and deep learning systems across industry-leading organizations like Amazon, Dassault Systèmes, and InstaDeep. My work spans from building transformer-based NLP search engines and real-time inference pipelines to applying neural system identification and Model Predictive Control for data-efficient reinforcement learning in bio-chemical processes. At Amazon, I optimized high-traffic production services used by over sellers, cutting latency and AWS costs by up to 33%. At Dassault Systèmes, I led the development of an NLP-driven search engine with sub-second latency and automated ML testing pipelines. More recently at InstaDeep, I've been pushing the boundaries of neural control systems for industrial applications. Currently, I’m pursuing a Master’s in Artificial Intelligence and Advanced Visual Computing at École Polytechnique, deepening my expertise in reinforcement learning, 3D perception, and large-scale language models. I'm passionate about solving real-world problems with AI, blending research with production-ready engineering, and staying hands-on with Python, PyTorch, TensorFlow, and AWS. Let’s connect if you’re interested in AI research, scalable ML systems, or industrial applications of reinforcement learning.