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Staff AI Researcher @ Meta | Ex-Microsoft AI
Co-Author of LLAMA3 paper! AI Researcher & Team Leader with over a +10 years of experience, adept at guiding AI/ML engineers, data scientists, and product managers in crafting next-gen GenAI solutions, including Multi-Modal Large Language Models (MM-LLMs), Modern Recommendation Systems, Ad Delivery Systems. Possesses a deep knowledge of LLMs, Natural Language Processing (NLP), Graph Neural Networks (GNN), and comprehensive machine learning techniques & AI powered products. For more about my research team at Meta, visit https://research.facebook.com/teams/cas/
University of Minnesota
Doctor of Philosophy (Ph.D.), Machine Learning - Computer Science
January 1, 2015 – January 1, 2020
University of Minnesota
Master's degree, Computer Science
January 1, 2013 – January 1, 2015
Indian Institute of Technology (Banaras Hindu University), Varanasi
(Hons.) Bachelor of Technology, Electronics Engineering
January 1, 2008 – January 1, 2012
Meta
Staff AI Research Scientist
August 1, 2024 – Present
Meta
Senior AI Research Scientist
August 1, 2022 – August 1, 2024
Meta
AI Research Scientist
August 1, 2020 – August 1, 2022
Microsoft
Microsoft AI Research
October 1, 2018 – January 1, 2019
Redmond, WA
Meta
AI/ML Research Intern
May 1, 2018 – August 1, 2018
Menlo Park, California
Cisco
AI Researcher
July 1, 2017 – May 1, 2018
San Jose, California
Honeywell
Machine Learning Engineer
January 1, 2014 – January 1, 2015
Greater Minneapolis-St. Paul Area
Citrix R&D India
Software Engineer
July 1, 2012 – July 1, 2013
Universidade Federal de São Carlos
AI Research
May 1, 2011 – August 1, 2011
Sao Carlos,Brazil
Cultural Fit Analysis
The candidate's background is heavily skewed towards AI/ML research and development, particularly in LLMs and advanced machine learning. While this demonstrates a strong technical foundation, their target role is 'Data Analyst'. The current experience is significantly more advanced and research-focused than a typical Data Analyst role, which might lead to a mismatch in expectations regarding day-to-day tasks and career trajectory. Their experience is primarily in large tech companies, suggesting a fit for fast-paced, research-intensive environments. The lack of explicit project diversity outside of core AI/ML research might indicate a narrower focus than some data analyst roles require, which often involve broader business intelligence and reporting.
Soft Skills & Operational Fit
The candidate's career progression at Meta from AI Research Scientist to Staff AI Research Scientist, coupled with their involvement in significant projects like LLAMA3, indicates strong problem-solving abilities, leadership potential, and a drive for innovation. Their diverse internship experiences suggest adaptability and a collaborative mindset. However, the provided data does not offer direct insights into specific soft skills like teamwork, communication style, or stress handling beyond what can be inferred from their professional achievements.