
Ameya Bhatawdekar
Director, Machine Learning, Dropbox
Updated 8 months ago
30+
Years Experience
11
Roles
18
Skills
2
Education
About
Passionate about using AI to help people be more effective and stay safe, I've driven multiple 0→1 initiatives to internet-scale, shipping intelligent systems for Dropbox Dash, Microsoft Office, Facebook, Windows, and major web browsers. At Dropbox, I lead ML Engineering for universal AI search in Dash (search, discovery, recommendations, agentic conversational AI). Previously, I led Dropbox's Incubation organization, managing a portfolio of transformative product bets via rapid development and quarterly funding. I also advise Seattle startups on product development, tech commercialization, strategy, and GTM. Key Accomplishments: Dropbox Dash: Led engineering from concept to production for this 0→1 strategic GenAI product. Drove retrieval, ranking, recommendations, and assistive GenAI, hitting 2x customer acquisition targets and setting 2025 ARR trajectory. Dash delivers multimodal search, discovery, and GenAI-powered assistance across users' content. Microsoft 365 Copilot: Created the Office Domain Specific Language (ODSL) and original Chat Copilot (now M365 Copilot). Led end-to-end ML architecture for natural language commanding across Office, PowerApps, and M365, shaping Microsoft's GenAI strategy and an enterprise productivity product category. Facebook - AI for Multimodal Content Understanding: Developed AI for holistic, pre-trained universal multimodal content representation to combat abuse (hate speech, misinformation, etc.), utilized by Facebook's abuse detection teams. Windows 10 S: Led the company-wide initiative to ship this modern, secure OS, coordinating extensive cross-functional teams (business, engineering, marketing, ecosystem, hardware, OEMs) on a compressed timeline. SmartScreen Safety (Windows, IE & Edge): Conceptualized and shipped SmartScreen features. Application Reputation reduced socially engineered malware by two orders of magnitude (blocking 99.5% undetected). SmartScreen Phishing Filter, the first ML-powered, high-scale client service, used URL reputation against phishing/malware. Windows Safety ML & Big Data Platform: Incubated and built this platform for Windows Safety, enabling petabyte-scale ETL, ML workflow orchestration, and end-to-end systems monitoring.
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Experience (11 roles)
Director, Machine Learning
CurrentLead the ML engineering org developing LLM-powered discovery, retrieval, recommendation, and assistant systems for Dropbox Dash. Spearheaded the development of end-to-end ranking pipelines, retrieval models, and GenAI-based features for content creation and automation across multiple modalities. L...
Principal Machine Learning Scientist Manager
Managed Office AI applied research team shipping ML and LLM-based features in Microsoft Office products such as Word, Excel, and PowerPoint, impacting billions of user interactions. Shipped major features like PowerPoint Designer and NLP-driven enhancements in Word Editor, significantly boosting us...
Product Lead
Led AI research teams advancing multimodal content understanding and user behavior prediction. Developed models for detecting and mitigating harmful behaviors at scale, contributing to content integrity across billions of daily interactions. New progress in using AI to detect harmful content
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Education (2)
Gujarat University
UW Foster School of Business
Skills (18)
Volunteer Experience (1)▼
Board Member and Scientific Advisory Board Chair
CurrentNational PKU News
Jan 2020 - Present · 5 yrs 6 mos
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