Arjun Krishnan is a software engineer with eight years of experience specializing in AI and applied machine learning, currently based in Redmond, Washington. He holds an MS in Computer Science from the University of Rochester and has blended academic research—ranging from quantum machine learning and continual learning for generative LLMs to visual prompt tuning for medical imaging—with hands-on engineering roles in startups and industry. His work spans full-stack delivery and AI model development, including production-facing AI roles at realItSolutions and DDM Systems and impactful field deployments such as a GIS-integrated mobile app that served 4,500 rural residents in India. Comfortable moving between research labs and product teams, he brings practical experience mitigating catastrophic forgetting and tailoring models for low-data clinical tasks. Colleagues can expect a researcher-engineer who pairs rigorous experimentation with pragmatic implementation to drive measurable outcomes.
Slides and materials from talks, workshops, seminars, etc.
Contributions:14 commits, 2 PRs, 11 pushes in 7 months
seminars
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