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Building LLMs @ Microsoft AI
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Assessing your cultural and operational fit
Interests: Machine Learning, Natural Language Processing, Information Retrieval, Speech https://scholar.google.com/citations?user=w9W6zXUAAAAJ&hl=en
Purdue University
Master of Science (MS), Computer Science
January 1, 2011 – January 1, 2013
National Institute of Technology Durgapur
Bachelor of Technology (B.Tech), Computer Science & Engineering
January 1, 2004 – January 1, 2008
Microsoft AI
Member of Technical Staff
November 1, 2025 – Present
Redmond, WA
Meta
Research Scientist
February 1, 2024 – November 1, 2025
Bellevue, WA
Senior Staff Software Engineer
August 1, 2023 – February 1, 2024
Kirkland, WA
Outreach
Director, Applied Science
February 1, 2023 – August 1, 2023
Seattle, WA
Outreach
Senior Staff Applied Scientist / Manager
September 1, 2021 – January 1, 2023
Seattle, WA
Research Engineer
July 1, 2020 – September 1, 2021
Seattle, WA
Software Engineer, Machine Learning
January 1, 2018 – July 1, 2020
Seattle, WA
Microsoft
Senior Applied Scientist
July 1, 2017 – January 1, 2018
Bellevue, WA
Microsoft
Applied Scientist II
October 1, 2014 – June 1, 2017
Bellevue, WA
Microsoft
Applied Scientist
August 1, 2013 – September 1, 2014
Bellevue, WA
Amazon Web Services (AWS)
SDE Intern
May 1, 2012 – July 1, 2012
Seattle, WA
Purdue University
Graduate Research Assistant
September 1, 2011 – July 1, 2013
West Lafayette, IN
Adobe
Member Of Technical Staff II
March 1, 2010 – June 1, 2011
Noida
Microsoft
Software Engineer
June 1, 2008 – March 1, 2010
Hyderabad
IBM
Software Development Intern
May 1, 2007 – July 1, 2007
Kolkata
Indian Institute of Technology, Kharagpur
Research Intern
December 1, 2006 – January 1, 2007
Kharagpur, West Bengal, India
Cultural Fit Analysis
The candidate has worked at multiple top-tier tech companies (Microsoft, Meta, Google, Facebook, Amazon, Adobe, IBM), indicating adaptability to diverse corporate cultures and fast-paced environments. Their roles span research, applied science, and software engineering, demonstrating a broad skill set and intellectual curiosity. The transition from core software engineering to specialized AI/ML roles, and then to leadership positions, suggests a growth mindset and ability to take on new challenges. The target role of 'Data Analyst' seems significantly under-levelled given their extensive senior-level experience in AI/ML and LLMs; their profile is more aligned with a Senior/Principal Data Scientist or Applied Scientist role focusing on advanced analytics, machine learning, and model development.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership and team-building skills, particularly in cross-geographical contexts. Their experience as a Tech Lead and Director suggests strong operational capabilities and the ability to drive complex projects. The descriptions, while concise, highlight significant contributions and responsibilities, implying strong problem-solving and strategic thinking. However, without specific psychometric or communication test results, a direct assessment of soft skills like stress handling or collaboration is limited.