Adam Pikielny

Research Scientist Engineer at Adobe

United States
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Summary

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Senior
🎓
Top School
Adam Pikielny is a research scientist-engineer with 11 years of experience specializing in computational photography, computer vision, and graphics, currently building advanced imaging tools in Marc Levoy’s group at Adobe. He combines a strong academic foundation—a 4.0 BS in Computer Science from Brown—with hands-on product impact, from Adobe Camera Raw reflection removal to Project Indigo and After Effects’ first ML-based effect. His background spans research on deepfake detection and video depth estimation, practical ML pipeline engineering, and shipping developer tooling across Adobe’s video apps. Outside core engineering, he brings a photographer’s eye to vision problems (Vision ∩ Graphics ∩ Photography), which informs both algorithm design and evaluation. Early roles in video editing and conservation work hint at a pragmatic, detail-oriented approach and a willingness to tackle fieldwork and user-facing challenges. Based in Providence, RI, he bridges research rigor and production delivery to move imaging research into real-world creative tools.
code11 years of coding experience
job2 years of employment as a software developer
bookHigh School Diploma, High School Diploma at Hanover High School
bookBachelor of Science - BS, Computer Science, 4.0, Bachelor of Science - BS, Computer Science, 4.0 at Brown University
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Github Skills (14)

get-started6
inference4
java4
python4
generator3
photography3
face3
react3
draw3
geometry2
verification2
consistency2
computer-vision2
stencil1

Programming languages (6)

ShellC++CJavaScriptHTMLPython

Github contributions (5)

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APikielny/mannequinchallenge

Oct 2021 - Jun 2022

Inference code and trained models for "Learning the Depths of Moving People by Watching Frozen People."
Contributions:1 review, 225 commits, 8 PRs in 7 months
inference
Project page for our Media Forensics CVPR Workshop 2020 paper: Towards Untrusted Social Video Verification to Combat Deepfakes via Face Geometry Consistency, by Tursman et al.
Contributions:373 pushes in 9 months
combatdeepfakesworkshopcomputer-visionforensics
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