Sabashan Ragavan is co-founder and chief executive officer of HeyMilo, a company that builds AI-driven recruiting agents used to conduct candidate interviews [1][2][3]. Prior to founding HeyMilo in 2023, he held product roles at Attentive and Instagram, and worked as a product manager at Microsoft on Windows OS and Microsoft Teams, following an earlier engineering internship at Yelp [2]. He also co-founded Refermarket in 2022, later transitioning to an advisory role there after starting HeyMilo [2]. He studied computer engineering at the University of Waterloo [2].
At HeyMilo, Ragavan has demonstrated how the platform automates the creation of interview agents from a job posting: the system ingests a job description and generates a baseline set of interview questions along with scoring rubrics for each, which employers can edit, delete, or supplement before deployment [4]. He has described how the AI agent adapts in real time, asking follow-up questions based on candidate responses rather than following a fixed script, and how a single interview link can be distributed to all applicants for a role or integrated directly into existing applicant tracking systems [4].
Speaking at the HR Tech 2025 conference, Ragavan addressed the growing role of artificial intelligence in engineering hiring, arguing that candidates who use AI tools to code more productively should not be penalized for doing so [5]. He contended that employers instead need better mechanisms to evaluate how effectively candidates leverage such tools, since AI has become a substantial accelerant to technical productivity [5]. At the same time, he distinguished this from outright cheating on technical assessments, saying employers will increasingly need solutions to detect candidates who submit AI-generated answers to screening questions rather than genuinely improving their own work with AI assistance [5].
Founded
Insights & ideas
Sabashan Ragavan argues that AI is reshaping engineering hiring by acting as a productivity accelerant, and he believes candidates should not be penalized simply for using AI tools to code more effectively [1]. At the same time, he stresses that employers need reliable ways to assess whether candidates can genuinely leverage these tools, rather than just producing AI-generated responses, and he anticipates growing demand for solutions that catch candidates cheating on assessment screeners versus those authentically using AI to improve their work [1].
In demonstrating HeyMilo's product, Ragavan shows how AI recruiting agents can be built directly from a job posting, with the system automatically generating baseline interview questions and scoring rubrics from the job description [2]. He highlights that these agents adapt dynamically, asking follow-up questions based on candidate responses, and that questions and criteria remain fully customizable, reflecting his broader interest in making structured, scalable, and adaptable interview processes accessible through a single shareable link or ATS integration [2].
Education
University of Waterloo · Bachelors of Applied Science, Computer Engineering
Media & appearances
- Interview Agent Demo / setup tutorial from CEOYouTube (HeyMilo) · May 27, 2024
Sabashan Ragavan demonstrates how to set up an AI recruiting agent on HeyMilo by inputting a job posting, customizing agent behavior, and reviewing auto-generated baseline interview questions with scoring criteria. He shows how the platform reads job descriptions to create questions and evaluation rubrics, explains candidate customization options, and describes how to share a single interview link with multiple applicants or integrate with ATS systems.
- HR Tech 2025 conference appearanceYouTube
Sabashan Ragavan discusses how AI is transforming engineering hiring, noting that candidates using AI tools for coding productivity should not be penalized, but employers need ways to assess candidates' ability to leverage these tools effectively. He emphasizes the need to distinguish between candidates genuinely using AI to improve their work versus those cheating on assessment screeners.
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