Archana Ramesh
Data & AI Leader @ Microsoft | Building Next-Gen AI for Windows at Scale
- Role
- Principal Data & Applied Science Manager - Microsoft at Microsoft
- Location
- Redmond, WA, US
- LinkedIn followers
- 500 followers
About Archana Ramesh
I\'m an AI engineering leader with a 12+ year track record of large scale AI solutions impacting 1+ billion customers. By architecting and scaling breakthrough AI solutions, I\'ve consistently delivered innovations that enhance the daily lives of 1B+ users, earning multiple special stock awards for exceptional impact.My current focus lies in building the core models that drive proactive experiences in Windows AI. With an engineering-first mindset, I tackle complex challenges at scale while ensuring our AI solutions remain secure, ethical, and results-driven.My leadership approach combines bold technical innovation with inclusive collaboration - creating environments where top AI talent can thrive and deliver exceptional results that matter.
Experience
Principal Data & Applied Science Manager - Microsoft
Jun 2014 — Present
I\'m a Data & AI leader with a decade of experience at Microsoft, known for creating and scaling intelligent systems that drive significant business impact. My expertise spans the entire data-to-AI lifecycle, from foundational data governance to cutting-edge model deployment at scale.My work has generated significant, measurable results for Windows engineering. I led the first at-scale AI-ops deployment for Windows, which reduced customer issues by 2-7x and cut support costs by 20%. I also spearheaded a data governance and efficiency initiative that delivered $18M in annual savings and improved developer efficiency by 15-30%.Currently, I\'m pioneering next-generation intelligent experiences by leading the development of core foundational AI for Windows Agents. I am passionate about building impactful technology and cultivating the next wave of top-tier talent in the AI and ML space.
Education
Sri Venkateswara College of Engineering, Anna University
BE, Computer Science & Engineering
2002 — 2006
Arizona State University
PhD, Computer Science
2006 — 2012
Skills
- C
- Programming
- Mathematical Modeling
- Software Development
- Latex
- Algorithm Design
- Information Retrieval
- Machine Learning
- Matlab
- Big Data
- R
- Java
- Computational Biology
- Subversion
- Mysql
- Distributed Systems
- Bioinformatics
- Data Mining
- Cancer Research
- Scalability
- Parallel Programming
- Software Engineering
- Statistics
- Mapreduce
- C++
- Algorithms
- High Performance Computing
- Image Processing
- Unix
- Artificial Intelligence
- Javascript
- Data Structures
- Oop
- Mpi
- Eclipse
- Sql
- Linux
- Text Mining
- Shell Scripting
- Testing
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