Shiven Mian is an engineering leader with 10 years of experience building production ML and front-end systems across Microsoft, X/xAI, and early-stage AI ventures, now focusing on horizontal enterprise agents at Ema. He has driven Ads ranking and product work at X and xAI, led Copilot for Microsoft 365 mobile experiences, and co-owned the React Native + JavaScript runtime for Office Android apps. His background blends applied research—NSF-funded ITS work and multiple peer-reviewed publications—with hands-on open-source contributions to projects like FOSSASIA’s SUSI.AI and Loklak, where he improved critical signup/login UX flows. Based in Mountain View, he combines cross-platform mobile runtime expertise with practical ML productization skills, making him effective at shipping features that sit at the intersection of AI, mobile, and ads. Notably, he has moved between research labs and large product teams, bringing a data-driven design sensibility informed by field deployments and academic publications.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of California, Davis
Apeejay School, Pitampura
Bachelor of Technology - BTech Computer Science and Engineering, Bachelor of Technology - BTech Computer Science and Engineering at Indraprastha Institute of Information Technology, Delhi
High School, High School at Delhi Public School - R. K. Puram
Distributed Open Source twitter and social media message search server that anonymously collects, shares, dumps and indexes data http://api.loklak.org
Role in this project:
Front-end Developer
Contributions:101 commits, 97 PRs, 37 pushes in 9 months
Contributions summary:Shiven primarily focused on developing the front-end user interface for the Loklak server, contributing to the design and implementation of new pages like the signup and login pages. They worked with HTML, CSS, and JavaScript, integrating Bootstrap and Angular.js for the layout and functionality of the application's user interface. The contributions also involved fixing boilerplate code and integrating basic validation features.
SUSI.AI server backend - the Artificial Intelligence server for personal assistants https://api.susi.ai
Role in this project:
Front-end Developer
Contributions:2 commits, 2 PRs, 1 branch in 1 month
Contributions summary:Shiven primarily contributed to the front-end development of the project. They added and fixed the design of signup and login pages using HTML and CSS. The commits include adding form elements, styling, and basic Javascript validation. These changes likely improved the user experience and visual appearance of these critical application components.
apipythonartificialmachine-learningassistants
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