About
I co-founded ImpactAI Foundry, where we work with social impact organizations to run AI cohorts, build products and policy, and do AI safety and alignment research.
My own research asks when we can trust what a language model's reasoning tells us. I build verifiers for chain of thought, ask what guarantees they can give, and map where they break under distribution shift and optimization pressure. I'm a researcher in the Machine Learning for Good Lab at NYU and in the Tian Zheng Lab at Columbia University, and a graduate research assistant at Columbia University Irving Medical Center.
Underneath both is one concern, reliable AI in places where errors are costly. At Irving Medical Center I build voice and vision pipelines for dementia research and for training dental students to read radiographs and question AI output. The same concern runs through the policy work and the cohorts at ImpactAI Foundry.
I'm finishing an MPA in Technology Policy and Innovation at Columbia University.
Positions
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2026–present
Co-founder, ImpactAI Foundry
Works with social impact organizations to run AI cohorts, build products and policy, and do AI safety and alignment research. First cohort June to July 2026 in Bangalore, with NGOs including Akshaya Patra, Reap Benefit and U&I. Part of the Decoded Futures Network.
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2026–27
Researcher, Machine Learning for Good Lab (Prof. Daniel Neill), NYU
LLM reasoning research.
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2026–present
Researcher, TZLab (Tian Zheng Lab), Columbia University
Home of the ForkSCOPE work on agentic data analysis.
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2026–present
Graduate Research Assistant, Columbia University Irving Medical Center
Aiello Research Group, Butler Aging Center. Voice AI agents and LLM pipelines for large-scale audio transcription and scoring across aging and dementia research studies.
College of Dental Medicine. An AI platform for radiograph interpretation training, built on vision-language model pipelines that help students analyze pathology and critically evaluate AI diagnostic output.
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Rapporteur, AI for Social Good and Society (AI4SGS) University Seminar, Columbia University
Education
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expected 2027
MPA, Technology Policy and Innovation, Columbia University
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2025
BE, Electronics and Telecommunication Engineering, R.V. College of Engineering
Earlier experience
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Apr–Jul 2025
Founding AI Engineer, Incluya
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Oct–Dec 2024
Research Intern, VISTA Lab, IISc Bangalore
Graph anomaly detection for money laundering with NPCI, on a graph with billions of edges.
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Sep 2024–Mar 2025
Research Intern, Carnegie Mellon University
Brain MRI surface registration.
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Oct 2024–Jun 2025
Research Intern, MVAIT Lab, NTU Singapore
3D cardiac segmentation.
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Aug 2023–Aug 2024
Research Intern, Samsung Research
Recognitions
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Lossfunk AI Resident
Batch 2, formerly Turing's Dream. Six-week in-person residency at the Lossfunk AI lab in Bangalore, run by Paras Chopra. BiasCheck and the graph representation learning work came out of it.
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SAAR x AIM Intelligence Compute Partnership
Compute award for the trajectory geometry paper.
Contact
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Outside of work: kendo, retro games (currently: God of War on PSP), and an unhealthy interest in how complex systems fail.