Aryan Sharma

Create your portfolio with ProoV
ProoV
DE Verified work portfolio

ProoV Portfolio

Aryan Sharma

Computer Science · TU Munich

View the ProoV leaderboard

Projects

Certified

Self-directed project

Machine Learning for Automotive Safety

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

84/ 100

A ProoV case study · educational project, not employment

Built a complete perception-validation dossier for a synthetic Aurora-7 detector: defined detection correctly with an IoU >= 0.5 match rule, scored the table to obtain aggregate precision/recall and a VRU false-negative rate, then sliced recall by lighting and occlusion to surface the night and occluded pedestrian risks. The final recommendation was evidence-based and conditionally scoped, with SOTIF-style mitigations and a real-case comparison to the Tempe crash.

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
  • Correctly anchored the detection rule to IoU >= 0.5 and treated unmatched real objects as false negatives.
  • Computed and foregrounded the VRU false-negative rate as the safety-critical metric, not just aggregate accuracy.
  • Exposed the dangerous slices clearly: night recall at 0.39, occluded recall at 0.45, and night+occluded at 0.27.
  • Produced a conditional ship verdict that explicitly ties release scope to the weak night performance.
  • Leakage-Free Detection Definition
  • Honest Safety Metric Evaluation
The work I submitted20 tasks

12 tasks · 17.4k characters · Python, JavaScript · 8 written answers · 845 words

  • Sensor Match553 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 Triage1.7k characters
  • Sotif CaseJavaScript · 2.5k characters
  • Ship Verdict1.9k 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
84Average score
Create your portfolio with ProoV