Parivallal Kannan — Software Engineer
Build great Compilers for ML Accelerators and FPGAs. Pytorch/TensorFlow/HLO/.../Verilog to bits, for Vector, Matrix and Spatial computing architectures. Improve algorithms for hard optimization problems at scale, across entire compilation stacks, to maximize performance and programmer delight. Contribs to neuronx (AWS Trainium and Inferentia), quartus-II (Intel Agilex), vivado (Xilinx Virtex4 to VUP).
Stackforce AI infers this person is a specialized expert in SaaS for ML and FPGA technologies.
Location: San Jose, California, United States
Experience: 23 yrs 6 mos
Skills
- Compilers
- Ml Accelerators
Career Highlights
- Expert in compilers for ML accelerators and FPGAs.
- Significant contributions to AWS Trainium and Inferentia.
- Proven track record in optimizing complex algorithms.
Work Experience
Amazon Web Services (AWS)
Principal Compiler Engineer (1 yr 5 mos)
Software Engineer (4 yrs 1 mo)
Intel Corporation
Principal Engineer (2 yrs 7 mos)
Xilinx
Director, FPGA Implementation Tools (8 mos)
Senior Manager Software Development (4 yrs 7 mos)
Senior Staff Software Engineer (3 yrs 9 mos)
Staff Software Engineer (2 yrs 5 mos)
Senior Software Engineer (2 yrs 5 mos)
Sun Microsystems
Hardware Engineering Intern (4 mos)
Wipro Infotech Ltd
Project Engineer (1 yr 2 mos)
Education
PhD at The University of Texas at Dallas
BE at College of Engineering, Guindy