Tanay Grover

I am an AI-focused Software Engineer currently pursuing a Master’s in Artificial Intelligence at Northeastern University in Boston. I work across machine learning and software engineering, building production-ready systems that combine models, data pipelines, and scalable backend infrastructure.My experience spans applied ML, backend development, and MLOps. I have built end-to-end systems involving model training, evaluation, API driven services, and cloud deployment, with hands-on work in Python, Java, and modern ML frameworks. I enjoy working close to the metal, translating research ideas into reliable services that perform under real-world constraints.Selected work: architected an autonomous AI platform using Python agents, REST APIs, and a React based interface that reduced manual content curation by 18 hours per week; deployed NLP pipelines processing 280 plus articles weekly with high reliability using CI CD workflows; trained and evaluated deep learning models for medical image analysis with explainability to support clinical decision making; developed generative diffusion models and multi agent LLM workflows focused on robustness, evaluation, and system level performance.Strengths and interests: applied machine learning, backend and platform engineering, agentic and generative systems, system design, and building AI powered software that is maintainable, scalable, and production ready.