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found via campus club · enrolled Spring 2026
STARTING POINT Riverside State University Political Science · Sophomore · no coding or AI background
DAY 0 · ZERO PYTHON LINES DAY 60 · MERGED PRs · LEVEL 3
BUILD
CONCENTRATION · AI + ROBOTICS Boston Dynamics Project — Depth Sensing & 3D Reconstruction team of 4 · 8 weeks
pointcloud_filter.py
cloud = radius_outlier(cloud, r=0.012, k=8)# root-cause: density, not normals # density error 4.2% → 1.1% across 30 scenes if stage_error(cloud) > tol: return resample(cloud, target=1.2e5)
Independent Problem Solving — Level 3
Diagnosed which pipeline stage dominated error, rather than assuming the obvious one. Designed a four-axis evaluation framework before running experiments.
photometric-stereo-pipeline ★ 4 · ⑂ 2 · 32 scenes
8 WEEKS 132 COMMITS 3 PEER REVIEWS
PROVE
LAB EVALUATION REPORT AX-2026-8891
AI+X Expert Review Committee 3 reviewers · perception track · submitted 12 May 2026 "They did not assume the most obvious stage — normal estimation — was the source of error. Through staged root-cause analysis, they found point cloud quality was the true bottleneck." VERIFIED ASSESSMENT · LEVEL 3 INDEPENDENT
DIAGNOSIS 3/3EVAL DESIGN 3/3REPORTING 2/3
BlendEDAI+X GLOBAL TALENT COMMUNITY Certificate of Completion Jordan Ellis AI + Robotics & Autonomous Systems Concentration AI+X
Academic Coordinator · AI+X Program Office Verify Credential ID: #AX-2026-8891 ISSUED 12 JUN 2026
CRI
C CARNEGIE ROBOTICS INSTITUTE 14 May 2026
LETTER OF RECOMMENDATION · REF PRC-2026-114 I supervised Jordan through eight weeks of the depth sensing project. Jordan reframed the problem when the initial hypothesis failed and reported the negative results without prompting — top 5% of student researchers in the perception track. I would take Jordan onto a research team without reservation.
A. Ravindran Dr. Anita Ravindran Senior Research Scientist · Perception Group
JE Jordan Ellis Incoming Perception Extern · Atlas Field Robotics
Starting a 6-week externship on the Perception team at Atlas Field Robotics this summer. Two years ago I had never written a line of Python. Thank you Dr. Ravindran and the Perception team at BlendED. #photometricstereo #robotics
Dr. Ravindran and 217 others 14 comments · 6 reposts
2 of 14
Externship offer — Perception team Inbox
M Maria Kessler m.kessler@atlasfieldrobotics.comMay 18, 2026, 10:42 AM
to jordan.ellis@riverside.edu Jordan — your root-cause finding on point cloud quality across the 30-scene benchmark was sharp work. We'd like to offer you a 6-week externship with our perception team this summer.
A Maria Kessler · Engineering Manager
Atlas Field Robotics · 118 Kendall Ave, Boston MA
externship_offer_ellis.pdf · 142 KB
BENCHMARK ★ 1.2k
DiLiGenT-Pi Public photometric stereo dataset · 30 scenes
DATASET ID: DiLiGenT-Pi-v2
MAE 4.2° → 3.1° · rank 7 / 41 submissions
— BEFORE L1 FOUNDATIONAL L2 APPLIED L3 INDEPENDENT
Program pathway Proof of work Demonstrated capabilities Reflection
AI+X STUDENT PORTFOLIO · 3 PROGRAMS Jordan Ellis

Arrived with no coding or AI background. Built and proved capability in AI + Robotics & Autonomous Systems — from a Boston Dynamics concentration project to an earned industry externship.

VERIFIED OUTCOME RECORD · LEVEL 3 INDEPENDENT · ID: #AX-2026-8891 SEALED 12 JUN 2026 · AI+X PROGRAM OFFICE
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C1 4 programs · 15 topics
AI + Vision & Language AI+X Core Build the two modalities the whole AI+X stack runs on — visual and language systems. Browse →
C2 4 programs · 14 topics
AI + Business & Finance Turn business, market, and financial questions into models a decision-maker can act on. Browse →
C3 3 programs · 11 topics
AI + Physical Intelligence Make a physical system perceive, decide, and act in an unstructured environment. Browse →
C4 3 programs · 11 topics
AI + Health Tech Apply AI to biological and human data under the evidence standards clinical and life-science work demands. Browse →
FORMATTwo-month program run, live sessionsTEAM3–6 studentsTIME6–8 hrs per weekCHOICEOne topic per program run
AI+X ELECTIVES Work you elect outside your path
Four more programs and twelve topics sit outside the concentrations, including the MasterSeries and Applied Quantum Simulation. They are taken and evaluated like any other program, but they do not advance a concentration.
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