Shiva Kasiviswanathan
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Principal Machine Learning Scientist and Sr. Manager of Applied Science at AWS
Principal Scientist and Sr. Manager at Amazon Web Services, leading a team building Generative AI systems for large-scale observability and operational intelligence. My work focuses on taking GenAI from research to production—combining LLMs with statistical learning, causal inference, and tool-based reasoning to build agentic systems that diagnose, explain, and resolve complex system issues. At AWS CloudWatch, I’ve led multiple high-impact launches, including AI-powered operational assistants and natural language interfaces used by hundreds of thousands of customers. More broadly, my work spans LLM post-training and evaluation, trustworthy AI, and causal ML, with a focus on building reliable, real-world systems. I have authored 70+ publications across top venues (NeurIPS, ICML, ICLR, AISTATS, COLT, STOC) and hold 18+ patents in machine learning and AI systems. PhD in Computer Science. Frequent speaker at major AI conferences and industry forums. Academic Website - https://www.shivakasiviswanathan.com/
Penn State University
PhD, Computer Science and Engineering
January 1, 2003 – January 1, 2008
University of Madras
Bachelor of Engineering (B.E.), Computer Science
January 1, 1999 – January 1, 2003
Amazon Web Services (AWS)
Principal Scientist and and Sr. Manager of Applied Science
February 1, 2025 – Present
On-site
Amazon Web Services (AWS)
Senior Applied Scientist/Applied Science Manager
July 1, 2017 – March 1, 2025
On-site
Samsung Research America
Staff Research Engineer
April 1, 2015 – June 1, 2017
Mountain View, CA
GE Global Research
Lead Machine Learning Researcher
August 1, 2012 – April 1, 2015
San Ramon, CA
IBM T.J. Watson Research
Postdoctoral Researcher
October 1, 2010 – July 1, 2012
Yorktown Heights, NY
Los Alamos National Laboratory
Postdoctoral Associate
September 1, 2008 – September 1, 2010
Los Alamons, NM
Los Alamos National Laboratory
Summer Intern
May 1, 2005 – August 1, 2005
Los Alamos, NM
Penn State University
Graduate Research Assistant
August 1, 2003 – September 1, 2008
State College, Pennsylvania Area
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on research and applied science within large, innovative organizations (AWS, Samsung, GE, IBM, LANL). While the target role is 'Data Analyst', their background is heavily skewed towards advanced AI/ML research and leadership. This might indicate a potential mismatch if the Data Analyst role is primarily focused on standard business intelligence or reporting rather than advanced analytical modeling, experimentation, and AI system development. The breadth of their experience across different domains (cloud observability, mobile/IoT, industrial, social media, cybersecurity) demonstrates adaptability and a diverse skill set, but the depth is consistently in advanced ML/AI.
Soft Skills & Operational Fit
The candidate's extensive leadership experience at AWS, including managing applied science teams and owning technical direction, suggests strong leadership, mentorship, and strategic thinking skills. Their work on high-impact products and systems indicates a results-oriented approach and ability to drive complex projects from conception to deployment. The descriptions imply strong problem-solving and analytical capabilities, crucial for a senior role.