Summary
Aparajita Saraf is a Machine Learning Engineer with eight years of experience building multimodal AI and agent/reasoning systems, most recently contributing to Llama research and smart glasses at Meta before joining Cartesia. She combines strong academic foundations from a University of Michigan MS in ECE with hands-on applied work across NLP, reinforcement learning, and EEG signal processing, demonstrating breadth from healthcare NLP to brain-computer interfaces. Known for turning exploratory ideas into working prototypes, she has built end-to-end ML systems in production settings and research projects alike. Her background includes leading classroom instruction and event organization, reflecting both technical mentorship and program leadership. Based in Menlo Park, she blends research rigor with product-focused engineering, often surfacing non-obvious signal-processing and temporal-robustness insights from noisy, real-world datasets.
8 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at University of Michigan - Rackham Graduate School
Bachelor of Technology (B.Tech.), Electronics and Telecommunications, Bachelor of Technology (B.Tech.), Electronics and Telecommunications at National Institute of Technology Raipur
English, Hindi