Summary
Hariharan Manikandan is a machine learning engineer specializing in NLP and multimodal learning, currently based in San Jose, California. He is on track to graduate with an MS in Machine Learning from CMU in December 2023, with a track record in LLMs and diffusion-based multimodal models. His ICML 2023 workshop work with Professor Zico Kolter showed that prompts can act as weak learners inside boosting, a novel take on prompting. At Cisco, he led end-to-end AI-powered solutions including code intelligence for security defects capture, static analysis prioritization, and automatic code completions. His multimodal work includes language-vision guided navigation with Professor Yonatan Bisk, using scene graphs to improve object localization, and applying CLIP during an Adobe internship, now as a Machine Learning Engineer 2 at Adobe since 2024.
9 years of coding experience
2 years of employment as a software developer
B.Tech, Computer Science, 9.89/10, B.Tech, Computer Science, 9.89/10 at Vellore Institute of Technology
Master of Science - MS, Machine Learning, 4.09/4.00, Master of Science - MS, Machine Learning, 4.09/4.00 at Carnegie Mellon University
English, Chinese