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Founding AI Engineer with 10+ years in Machine Learning & LLM Development
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Assessing your cultural and operational fit
Highly accomplished AI researcher pursuing a Ph.D. in Management Science at MIT, with 11.5 years of extensive experience in AI/ML research and software engineering. Demonstrated expertise in developing and deploying large language models (LLMs), reinforcement learning, and multimodal AI. Proven track record of leading complex research projects, improving model performance, and implementing robust AI infrastructure. Recognized for contributions to AI safety and groundbreaking work in human-LLM collaboration.
Massachusetts Institute of Technology
Ph.D. · Management Science
August 1, 2020 – Present
Carnegie Mellon University
M.S. · Computer Science
August 1, 2018 – December 1, 2019
University of Illinois at Urbana-Champaign
B.S. · Computer Engineering
August 1, 2012 – May 1, 2015
Impact Research Initiative (Harvard & MIT EA)
AI Safety Researcher
February 1, 2026 – Present
Cambridge, England, United Kingdom
Pairium AI
Founding AI Researcher
November 1, 2025 – Present
Cambridge, England, United Kingdom
Atlassian
AI Research Intern
June 1, 2025 – September 1, 2025
Cambridge, England, United Kingdom
Massachusetts Institute of Technology
AI/ML Researcher
August 1, 2020 – Present
Cambridge, England, United Kingdom
Carnegie Mellon University
AI/ML Researcher
August 1, 2018 – December 1, 2019
Pittsburgh, Pennsylvania, United States
Cask Data (Acquired by Google)
Software Engineer
August 1, 2016 – July 1, 2018
Sunnyvale, California, United States
Yahoo
Software Engineer
July 1, 2015 – April 1, 2016
Sunnyvale, California, United States
Transforming the Voice of the Customer: Large Language Models for Identifying Customer Needs?
Unknown
January 1, 2026 – Present
The Validation Dilemma: Why LLM-Based Survey Simulations Need the Human Data They Claim to Replace
Unknown
January 1, 2026 – Present
Guided Diverse Concept Miner (GDCM): Uncovering Relevant Constructs for Managerial Insights from Text
Information Systems Research
January 1, 2025 – Present
Artificial Intelligence and User-Generated Data Are Transforming How Firms Come to Understand Customer Needs
Artificial Intelligence in Marketing
January 1, 2023 – Present
Integrating Multimodal Information in Large Pretrained Transformers
Association for Computational Linguistics Conference
January 1, 2020 – Present
Cultural Fit Analysis
The candidate's diverse experience across academic research (MIT, CMU), industry (Atlassian, Cask Data, Yahoo), and founding AI roles (Pairium AI, Impact Research Initiative) suggests adaptability and a broad perspective. Their focus on AI safety and human-LLM collaboration aligns well with ethical AI development and user-centric design, which are critical for a founding AI engineer role. The breadth of skills from distributed systems to advanced ML/AI indicates a versatile individual capable of contributing across various technical domains, fostering a strong cultural fit for an innovative startup environment.
Soft Skills & Operational Fit
The candidate demonstrates strong research and problem-solving skills, evidenced by their academic background and contributions to AI safety and LLM collaboration. Their experience in leading research and implementing complex AI methods suggests a proactive and innovative approach. The ability to integrate new technologies (vLLM) and optimize performance indicates a practical, results-oriented mindset. Their involvement in academic service as a reviewer also points to a collaborative and community-minded professional.