Summary
Akshath Mahajan is a results-driven software engineer and graduate researcher blending advanced computer engineering research with practical full-stack and ML/AI development. He is pursuing an MS in Computer Engineering at NYU, where he is advancing Fully Homomorphic Encryption work as a Graduate Research Assistant, delivering a 1.4x performance boost through an out-of-order instruction compiler for custom hardware. Based in Redwood City, CA, he has 10 years of experience spanning ASIC-oriented research, ML operations, frontend/backend development, and data visualization tools at SimPPL, with notable wins like cutting Django REST API latency by 28% and reducing initial load times by 80% through code-splitting. He has mentored 70+ high school students in ML as part of NYU's K-12 STEM initiative, reflecting a commitment to education and knowledge transfer. His tech breadth includes building data pipelines with Firebase, deploying ML endpoints on AWS Lambda, and leading full-stack projects that improve maintainability and scalability. Akshath earned a BTech in Computer Engineering with a 9.5/10 from Dwarkadas J. Sanghvi College of Engineering and a perfect 4.0/4.0 during his MS at NYU, underscoring a strong academic foundation paired with hands-on delivery across diverse domains.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Engineering, 4.0/4.0, Master of Science - MS, Computer Engineering, 4.0/4.0 at New York University
Highschool, ICSE, Highschool, ICSE at Thakur Public School
Bachelor of Technology - BTech, Computer Engineering, 9.5/10, Bachelor of Technology - BTech, Computer Engineering, 9.5/10 at Dwarkadas J. Sanghvi College of Engineering