You live only once, if you do it right once is enough.
I am a Masters in Language Technologies student who graduated in August 2019 and was advised by Prof. Alexander Hauptmann in the Language Technologies Institute at Carnegie Mellon University. My research interests lie in the areas of machine learning and signal processing with a focus on audio and multimedia analysis. I am working on deciphering guntype information using acoustic analysis of gunshot recordings and on Deep Intermodal Video analytics to recognize activities in large scale surveilliance videos.
Previously, I have worked as a verification engineer at ARM, a leading semiconductor IP provider. I am familiar with ARM protocols like AMBA, AXI, CPU specifications, ARM architecture and power architecture. At ARM, my role was related to designing inhouse verification tools for simultaneous verification of sub-systems. These enhanced the scalability of other in-house tools and further ensured less rework across projects, thereby improving the throughput of our team’s deliverables. I have designed a power controller used across various projects at ARM. Due to efficient deliverables in workplace, my supervisors gave me the responsibility to deliver the first chip-to-chip subsystem verification on ARM platform which was executed successfully. As a result, I was consecutively rated amongst the top 5% engineers globally within ARM for two years.
Prior to that, I graduated with a Bachelor of Technology (B.Tech) in Electronics and Communication (EC) from National Institute of Technology Karnataka (NITK), Surathkal.