Arvindh Srinivasan — Product Engineer
Embedded Systems and Edge AI architect with 16+ years of experience designing and delivering production-grade software used across global customer engagements and product lines. Currently focused on Edge AI and TinyML systems, enabling efficient machine learning inference on constrained hardware through optimized software-hardware co-design. Proven track record of leading multicultural engineering teams, driving cross-functional collaboration, and delivering high-impact technical outcomes from concept to deployment. Specialized in end-to-end embedded product architecture spanning Linux kernel, device drivers, RTOS firmware, multimedia pipelines, computer vision audio pipelines, and Edge AI model deployment. Core areas: Embedded Architecture • Linux Systems • Edge AI • Computer Vision • Audio/Video Systems • System Optimization • Technical Leadership.
Stackforce AI infers this person is a highly skilled Embedded Systems and Edge AI architect with extensive experience in technical leadership.
Location: Bengaluru, Karnataka, India
Experience: 16 yrs 9 mos
Skills
- Edge Ai
- Embedded Systems
- Machine Learning
- Computer Vision
- Audio Processing
- Human Machine Interface
Career Highlights
- 16+ years in Embedded Systems and Edge AI.
- Led multicultural teams to deliver high-impact projects.
- Expert in software-hardware co-design for constrained hardware.
Work Experience
Infineon Technologies
Principal Engineer (2 mos)
Senior Staff Engineer (4 yrs 1 mo)
Coursebricks/augurai
Principal Engineer (1 mo)
Rapsodo
Staff Software Engineer (2 yrs 8 mos)
Panasonic
Staff Engineer (1 yr 3 mos)
Senior Engineer (1 yr)
Engineer III (2 yrs)
Engineer II (2 yrs 6 mos)
HCL Technologies
Member Technical Staff (3 yrs 1 mo)
Education
Master of Science at National University of Singapore
Bachelor of Technology (B.Tech.) at Shanmugha Arts, Science, Technology and Research Academy
Nanodegree at Udacity