Laiba Sajjad

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Laiba Sajjad

Artificial Intelligence · Bahria university Islamabad

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Projects

Certified

Self-directed project

Machine Learning for Automotive Safety

Perception Validation Engineer (ADAS Safety Sign-off) · AI / ML · July 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 IoU-based detection correctly, scored precision/recall and the VRU false-negative rate, sliced recall by night, occlusion, and rarity, and translated the worst misses into ISO 21448 SOTIF chains with concrete mitigations. The final release verdict was evidence-based and internally consistent, and the real Uber Tempe crash analysis correctly mapped to the night-time pedestrian 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 interpreted the key detection metrics from the synthetic table, including the VRU false-negative rate of 0.24 as the safety-critical number.
  • Identified the sharp recall collapse at night (0.39) and under occlusion (0.45), with the worst combined slice at 0.27.
  • Wrote concrete ISO 21448-style mitigations such as sensor-fusion fallback, reduced-speed operation in low visibility, and targeted rare-class/night data collection.
  • Issued a conditional release recommendation that explicitly cites the dossier’s own metrics and avoids an unsafe unconditional GO.
  • Leakage-Free Detection Definition
  • Honest Safety Metric Evaluation
The work I submitted20 tasks

12 tasks · 16.6k characters · Python · 8 written answers · 845 words

  • Sensor Match557 characters
  • Example Iou Demo1.5k characters
  • Task Definition Code1.1k characters
  • Task Definition377 characters
  • Example Metrics DemoPython · 2.2k characters
  • Scored Metrics RunPython · 2.3k characters
  • Scored Metrics351 characters
  • Ttcs Example SlicePython · 1.3k characters
  • Ttcs Triage SlicePython · 1.6k characters
  • Failure Triage1.8k characters
  • Sotif Case2.1k characters
  • Ship Verdict1.5k characters
  • Sensor Match27 words
  • Example Iou Demo169 words
  • Task Definition Code149 words
  • Task Definition42 words
  • Example Metrics Demo154 words
  • Scored Metrics Run143 words
  • Scored Metrics18 words
  • Ttcs Example Slice143 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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