Summary
Sharan Shodhan is an applied AI engineer and product-focused engineering leader with 11+ years building high-impact consumer and educational products across mobile, VR, and multi-platform ecosystems. He’s led discovery, experimentation, and AI initiatives at scale—most recently owning systems that supported 5M+ MAU and shipped an AI companion that drove major payer adoption and retention gains. Comfortable across 0–1 prototyping and 1–10 scaling, he blends client-side architecture, server-driven feature platforms, and data-informed experimentation to enable rapid, safe rollouts. His background spans ML-integrated experiences, computer vision, and personalized K–12 learning systems, and includes published ACM CHI research on embedding experimentation into design. Known for wearing multiple hats, he’s repeatedly delivered P0 initiatives and built frameworks used by dozens of engineers to run hundreds of experiments.
11 years of coding experience
10 years of employment as a software developer
Masters, Entertainment Technology, Masters, Entertainment Technology at Carnegie Mellon University
Bachelor of Technology (BTech), ICT, Bachelor of Technology (BTech), ICT at Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT)
English, Hindi, Gujarati