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Lead AI Engineer with 9+ years in Machine Learning & AI Alignment
Highly accomplished AI Researcher with 9.8 years of experience spanning AI research, machine learning, and software engineering. Currently pursuing a Ph.D. at MIT, specializing in advanced AI, causal inference, and AI safety. Proven track record in leading research initiatives to improve human-LLM collaboration, build model organisms for AI behavior, and optimize LLM performance and instruction following. Adept at developing and evaluating large language models for complex tasks, with a strong foundation in distributed systems and multimodal AI.
Massachusetts Institute of Technology
Ph.D. · Management Science
August 1, 2020 – Present
Carnegie Mellon University
M.S. · Computer Science
August 1, 2018 – June 30, 2019
University of Illinois at Urbana-Champaign
B.S. · Computer Engineering
August 1, 2012 – June 30, 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 background, spanning top academic institutions (MIT, CMU, UIUC) and leading tech companies (Atlassian, Google via acquisition, Yahoo), indicates a strong fit for a high-performance, research-driven culture. Their involvement in AI Safety research and academic service as a reviewer suggests a commitment to ethical AI development and community contribution. The diversity of projects, from fundamental AI research to practical LLM deployment and distributed systems, shows adaptability and a broad interest in the AI landscape, aligning well with a dynamic and innovative environment. The 'Founding AI Researcher' role at Pairium AI also highlights an entrepreneurial spirit.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their research contributions and complex system implementations. Their academic and professional trajectory indicates a high degree of self-motivation, intellectual curiosity, and a proactive approach to tackling challenging AI problems. The experience in leading research and contributing to publications suggests strong communication and collaboration skills within a technical context. Their work on human-LLM collaboration also points to an understanding of user-centric design in AI.