Abhay Kanhere is a hands-on software engineer and leader based in Cupertino with deep expertise in compilers, performance engineering, and systems-level optimization across C/C++, Java/Scala, Python, and Go. He has practical startup experience as a founding engineer and performance lead, and a track record of solving messy, cross-domain problems quickly—evidenced by building a 25+ device Android farm at Intel to generate ML training traces. Abhay focuses on compiler and runtime techniques (profile-guided optimizations, auto-vectorization, JITs, binary instrumentation) and system-wide performance analysis from instruction-level simulation to multi-CPU/GPU distributed systems. He’s actively exploring ML infrastructure and LLMs while applying LLVM, PyTorch, and Detectron2 in tooling and optimization workflows. A prolific inventor with 14 granted patents, he blends hands-on engineering with mentoring and rapid execution to move research-grade ideas into production-grade systems.
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