Summary
Jashwant Gunasekaran is a computer scientist with a decade of experience focused on MLOps, ML infrastructure, and site reliability engineering for large-scale ML services. Currently at Adobe Firefly, he ensures operational stability and training efficiency of cloud infrastructure that powers generative AI workflows. His background blends academic rigor—PhD work on resource efficiency in cloud systems—with hands-on engineering building cluster schedulers, VM performance characterizations, and automation for ML/HPC workloads. Prior roles at Adobe and internships at VMware and Qualcomm show a consistent thread of squeezing efficiency from compute and power-constrained systems. Based in the San Francisco Bay Area, he pairs research-led insight with production engineering discipline to reduce cost and improve throughput for ML training at scale. An often-overlooked strength is his long history teaching and mentoring in systems and programming, which informs clear design and operational practices.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (BE), Computer Science, 8.3/10, Bachelor of Engineering (BE), Computer Science, 8.3/10 at Madras Institute of Technology
Master's degree, Computer Science, Master's degree, Computer Science at Penn State University
High School, Maths,Physics,Chemistry,Biology, 87%, High School, Maths,Physics,Chemistry,Biology, 87% at St Johns Senior Secondary School
HSC, Maths,Physics,Chemistry,Biology, 95%, HSC, Maths,Physics,Chemistry,Biology, 95% at Maharishi Vidya Mandir HSC
Hindi, French, Tamil, English