Nithish Bolleddula is a seasoned Machine Learning Engineer with a decade of experience building scalable ML systems and driving measurable business impact across ad tech, utilities, and analytics. Currently on Meta’s AI infrastructure team working with LLMs and PyTorch, he has a track record of optimizing DNN inference at scale (delivering $2M in annual savings at Chartboost) and executing A/B tests that improved user acquisition. His background spans end-to-end ML—feature engineering, deep learning (CNNs/RNNs), Spark-based pipelines, and cloud deployments—and he has applied these skills to cost-saving production projects like powerline defect detection and demand forecasting. A hands-on mentor and recruiter, he’s also shipped mobile/edge ML and led teams to integrate models into production reliably. Based in San Francisco, he combines strong engineering rigor with practical business sense, often exploring advanced techniques in NLP and representation learning beyond standard applied workflows.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at University of San Francisco
Bachelor's degree Engineering, Bachelor's degree Engineering at Indian Institute of Technology (Banaras Hindu University), Varanasi
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Nithish Bolleddula - Software Engineer (ML) at Meta