Summary
Adnaan Sachidanandan is an Applied AI Engineer with a decade of software experience, currently pursuing an MPhil in Machine Learning and Computer Vision at the University of Cambridge and based in San Francisco. He has shipped production-facing multimodal inference systems at Amazon and helped build core conversational-AI infrastructure as a founding engineer at Vocode, focusing on model fine-tuning, latency, scalability, and observability. His research blends practical ML and graphics—designing 3D CAD retrieval and alignment pipelines that orchestrate state-of-the-art vision and LLM components and generate synthetic training data on HPC clusters. Comfortable across startups and big tech, he pairs rigorous academic training from Berkeley and Cambridge with hands-on product delivery, and also co-runs a nonprofit supporting rehabilitation centers in India. Outside work he produces music, follows soccer, and is an avid car enthusiast, a mix that often surfaces in creative side projects.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Arts - BA Computer Science, Bachelor of Arts - BA Computer Science at University of California, Berkeley
High School Diploma, High School Diploma at Gunn High School
Master of Philosophy - MPhil Machine Learning and Machine Intelligence, Master of Philosophy - MPhil Machine Learning and Machine Intelligence at University of Cambridge
Bachelor of Science - BS Business Administration, Bachelor of Science - BS Business Administration at University of California, Berkeley, Haas School of Business
English, Spanish, Japanese