Raghu Iyengar
Co-Founder at pi-labs.ai
Pune District, Maharashtra, India
Summary
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Senior🎓
Top SchoolRaghu Iyengar is a seasoned engineering leader and entrepreneur with 11 years of professional experience spanning embedded systems, signal processing, and machine learning research. He co-founded pi-labs.ai in 2025 after nearly eight years as a researcher at IIT Hyderabad, where his academic work (listed on Google Scholar) informs practical AI and sensor-driven solutions. Raghu has a strong track record of scaling engineering teams and products—from low-level sensor drivers and DSP work at Motorola to VP roles in engineering and ML at Mobiliya and Appnomic. He also taught in industry-aligned programs at BITS Pilani, bridging research insights with real-world software engineering practices. Based in Pune, Raghu combines deep technical roots in communication theory and signal processing (M.S., Illinois Institute of Technology) with hands-on startup leadership. A behind-the-scenes strength is his ability to translate complex sensor and signal algorithms into robust production drivers and frameworks that drive product differentiation.
11 years of coding experience
21 years of employment as a software developer
B.E, Telecomminucations Engineering (Aggregate: 81.56%), B.E, Telecomminucations Engineering (Aggregate: 81.56%) at Visvesvaraya Technological UniversityM.S., Electrical Engineering, Maj/Concentration in Communication Theory and Signal Processing, M.S., Electrical Engineering, Maj/Concentration in Communication Theory and Signal Processing at Illinois Institute of TechnologyKendriya Vidyalaya SangathanPre-University, Physics, Chemistry, Mathematics, Biology (Aggregate: 87.8%), Pre-University, Physics, Chemistry, Mathematics, Biology (Aggregate: 87.8%) at K.L.E's S Nijalingappa Pre-University College
Github Skills (1)
opengrok1
Github contributions (3)
raghusesha/grokit
Sep 2014 - Feb 2017
Contributions:7 commits, 1 PR, 3 pushes in 2 years 5 months
opengrok
raghusesha/facenet-pytorch
Jun 2024 - Jun 2024
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
Contributions:1 push in 1 day
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