Peru Dayani is a software engineer based in Berkeley with 8 years of experience building full-stack and research-driven systems, currently contributing at Bloomberg. He blends industry-grade backend and cloud skills with academic rigor from UC Berkeley, having taught and mentored students across engineering and startup-focused courses. Peru has led interdisciplinary teams on robotics and VR projects—building multi-UAV control APIs, LiDAR visualizations, and AWS migrations—and authored work for IEEE venues. He also drove an NLP platform for cancer-report triage that achieved 96% accuracy and meaningful operational impact, demonstrating a knack for translating ML proofs-of-concept into deployed tools. Comfortable in C#, Python, ROS, TensorFlow, and cloud stacks, he thrives at the intersection of systems engineering and applied research. Notably, his background spans both hands-on teaching and production delivery, making him adept at explaining complex technical ideas while shipping reliable software.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Electrical Engineering & Computer Science, Bachelor of Science - BS, Electrical Engineering & Computer Science at University of California, Berkeley
High School, Computer Science, High School, Computer Science at Delhi Public School - R. K. Puram
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