Dr. Prashanthi Kadambi — Product Engineer
I am a GPU performance engineer at AMD specializing in AI/LLM workload modeling and optimization. Previously, I was a PhD Candidate at the DREAM Lab, Department of Computational and Data Sciences at the Indian Institute of Science. My PhD thesis focused on the systems aspects of Edge AI, particularly power and performance optimization, as well as modeling and scheduling of deep learning workloads on GPU accelerated edge devices. My research has resulted in several poster, workshop, conference and journal publications at top venues such as SIGMETRICS, FGCS, EuroSys, IPDPS, MLSys, CCGRID, and HiPC. Prior to my PhD, I worked on developing Graphics Device Drivers as part of Intel's Visual Technologies Team. I hold a Bachelor's Degree in Electronics and Communication from M S Ramaiah Institute of Technology and a Master's Degree in Electronic Systems Design from IIIT Bangalore, both with gold medals. I have received several awards, including the MLCommons' ML and Systems Rising Star Award, Prime Minister's Research Fellowship, Intel's Department Recognition Award, and travel grants from Microsoft Research, ACM-W, IEEE TCPP, USENIX, SIGMETRICS, EuroSys and CODS-COMAD. Other interests: Words and stories have always taken center stage in my life, and when I'm not reading a research paper, I'm likely reading a novel. If you'd like to read what I write, here are a couple of places you can find me. Blogger: http://virtualramblings10.blogspot.com Medium: https://medium.com/@virtualramblings I am also a trained Carnatic musician, and I sing and play the keyboard.
Stackforce AI infers this person is a GPU and AI optimization expert in the tech industry.
Location: Bangalore Urban, Karnataka, India
Experience: 7 yrs 11 mos
Skills
- Gpu Performance
- Ai Optimization
- Deep Learning
- Edge Ai
- Compiler Research
- High Performance Computing
- Graphics Device Driver Development
- Software Engineering
- Device Code Generation
- Automation
- Analytics
- Software Testing
Career Highlights
- Expert in AI and GPU performance optimization.
- PhD focused on Edge AI systems optimization.
- Awarded MLCommons' Rising Star in ML and Systems.
Work Experience
AMD
Member of Technical Staff (1 yr)
Manning College of Information and Computer Sciences, UMass Amherst
Visiting Researcher (3 mos)
Indian Institute of Science (IISc)
PhD Candidate (4 yrs 7 mos)
Research Staff (6 mos)
Intel Corporation
Graphics Software Engineer (1 yr 5 mos)
IBM India System Development Labs
Master's Thesis Intern (5 mos)
HCL Technologies: Products & Platforms Division
Summer Intern (2 mos)
Education
Doctor of Philosophy - PhD at Indian Institute of Science (IISc)
Master of Technology at International Institute of Information Technology Bangalore
Bachelor of Technology - BTech at Ramaiah Institute Of Technology
Pre University at Vidya Mandir Independent PU college, Malleswaram
SSLC at Cluny Convent High School, Jalahalli