I am Kaining Tian, an ML/AI Engineer candidate based in Boston, MA, currently pursuing my Master of Science in Information Systems at Northeastern University, expected to graduate in May 2026. With a strong foundation in machine learning, NLP, and distributed systems, I specialize in building and deploying production-ready AI solutions. My recent work includes a Distributed Music Recommendation System leveraging Slurm, PyTorch DDP, and sparse matrix optimization to reduce memory usage from ~3TB to ~3GB. I also developed a Climate-Driven Disease Outbreak Early Warning System integrating NASA, WHO, and GDELT data to predict malaria, dengue, and cholera outbreaks with F1 scores exceeding 0.93. Additionally, I built an NLP Sentiment Classification Pipeline for Amazon product reviews, deployed

Machine Learning · NLP · Distributed Systems · MLOps · Backend Engineering

I have recently been building and deploying machine learning systems. My most recent project is a Distributed Music Recommendation System using Slurm, Dask, MPI, and PyTorch DDP, where I reduced memory usage from ~3TB to ~3GB through sparse matrix optimization. I also built a Climate-Driven Disease Outbreak Early Warning System that predicts malaria, dengue, and cholera outbreaks with F1 > 0.93, powered by real-world NASA, WHO, and GDELT data. Earlier in 2025, I developed an NLP Sentiment Classi