Summary
Anjali Agarwal is a Machine Learning Engineer and incoming PhD student at Georgia Tech with eight years of research and engineering experience spanning HCI, deep learning, and hardware-accelerated ML. Trained as an Electrical Engineer at IIT Palakkad, she has applied her skills in academic and industry settings—from ocular data deception-detection research at Nanyang Technological University to ML-driven biomedical projects at Georgia Tech and Emory. She brings hands-on systems experience as well, having ported CNN-based defect detection to FPGA and optimized high-speed wired communications during internships. Optimistic and self-motivated, she combines a strong academic record with practical product-minded research, often tackling cross-disciplinary problems at the intersection of sensing, computation, and human interaction. Based in Atlanta, she leverages this blend to translate novel ML ideas into deployable, latency-sensitive solutions.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Georgia Institute of Technology
Bachelor of Technology - BTech, Electrical and Electronics Engineering, 8.84, Bachelor of Technology - BTech, Electrical and Electronics Engineering, 8.84 at Indian Institute of Technology, Palakkad
12th, PCM, 95.6%, 12th, PCM, 95.6% at Girls' High School & College, Allahabad
English, Hindi