Summary
Lakshmi Krishnan is a Manager of AI Research Engineering based in the San Francisco Bay Area with nine years of experience building perception ML systems for robotics, speech, and bioinformatics. She progressed from academic research (PhD in Electrical Engineering) through roles at Ford and Argo AI into senior engineering and leadership positions at Graphcore, Speak, and Biohub, blending deep research rigor with product-focused engineering. Her work spans end-to-end perception stacks, neuromorphic-inspired auditory models (including a Qualcomm-backed patent), and production ML deployments on specialized hardware. Known for moving research prototypes into scalable systems, she mentors cross-functional teams and bridges gaps between model development, hardware acceleration, and real-world sensors. Unusually, her background mixes long-form academic signal processing work (ENS exchange on EEG time-series) with hands-on industry delivery, enabling robust solutions in noisy, safety-critical domains.
9 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD) Electrical Engineering, Doctor of Philosophy (PhD) Electrical Engineering at University of Maryland
Bachelor of Engineering (B.E.) Electronics and Communications Engineering, Bachelor of Engineering (B.E.) Electronics and Communications Engineering at SSN College of Engineering
tamil, malayalam, hindi