Moira Mjeda

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Moira Mjeda

Aerospace engineering, Computer Science, AI · self-taught

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Projects

Certified

Self-directed project

Machine Learning for Automotive Safety

Perception Validation Engineer (ADAS Safety Sign-off) · AI / ML · August 2026

92/ 100

A ProoV case study · educational project, not employment

Built a perception-validation dossier end to end for a synthetic Aurora-7 detector: defined a correct IoU-based detection rule, scored precision/recall and VRU false-negative rate, sliced recall by night/occlusion/rarity to expose the safety-critical gaps, and translated the top misses into concrete ISO 21448 SOTIF mitigations. Finished with an evidence-based conditional release recommendation and a real-world Tempe crash comparison tied back to the same failure mode.

Graded against

  • Detection metrics correctness (precision, recall, VRU false-negative rate)30%
  • Failure-mode analysis & per-condition rigour25%
  • SOTIF safety case quality (ISO 21448 reasoning)25%
  • Ship verdict — evidence-based & internally consistent20%

Passed · pass mark 60/100

What stood out6
  • Computed and carried forward the correct aggregate metrics from the scored table: precision 0.95, recall 0.87, and VRU false-negative rate 0.24.
  • Exposed the safety gap with condition slicing, showing night VRU recall at 0.39 and night+occluded recall at 0.27 instead of relying on the reassuring aggregate.
  • Ranked the highest-risk failures in a way that keeps catastrophic VRU misses in the top band, including night-time pedestrian and occluded-child scenarios.
  • Wrote concrete ISO 21448-style mitigations such as daylight/visibility restrictions, sensor-fusion fallback, and targeted night/occlusion data rather than vague monitoring language.
  • Leakage-Free Detection Definition
  • Safety-Critical Metric Selection
The work I submitted20 tasks

12 tasks · 14.2k characters · Python · 8 written answers · 804 words

  • Sensor Match553 characters
  • Example Iou Demo1.5k characters
  • Task Definition Code1.1k characters
  • Task Definition377 characters
  • Scored Metrics RunPython · 2.3k characters
  • Scored Metrics355 characters
  • Ttcs Example SlicePython · 1.3k characters
  • Ttcs Triage SlicePython · 1.6k characters
  • Failure Triage1.8k characters
  • Sotif Case1.7k characters
  • Ship Verdict1.0k characters
  • Realcase Analysis625 characters
  • Sensor Match27 words
  • Example Iou Demo169 words
  • Task Definition Code149 words
  • Task Definition42 words
  • Scored Metrics Run143 words
  • Scored Metrics19 words
  • Ttcs Example Slice143 words
  • Ttcs Triage Slice112 words

Summarised on purpose — the submitted code and writing stay private so this page cannot be reused as an answer key. The full submission sits behind the verified certificate.

Verified certificateTamper-proof · issued by ProoV
1Project completed
1Verified certificate
92Average score
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