Bernie Torres

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Bernie Torres

Industrial Engineering · Caribbean University

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Projects

Certified

Self-directed project

AI-Assisted Code Modernization with IBM

Junior Software Engineer · Software Engineering · September 2026

92/ 100

Based on a public IBM case study · not affiliated with IBM

Built and verified a full legacy-code modernization for KM-Waechter: corrected the service-wear math, handled missing readings safely, fixed the nightly report’s average and crash path, and caught a quiet mileage-conversion bug in the helpers. Also added a data-driven breakdown-risk analysis that follows the fleet history rather than the obvious but unsupported mileage/age assumption.

Graded against

  • Fix and extend the repo with the agent35%
  • Diagnose the bug20%
  • Direct and audit the AI agent25%
  • Explain it like an engineer20%

Passed · pass mark 60/100

What stood out6
  • Fixed the hidden helper bug in fleet_utils.km_to_miles, showing they swept beyond the obvious failing tests.
  • Added the missing report test for a car with no reading and verified the repo with verify.py.
  • Built analyze.py around the actual separating variables in the dataset instead of the tempting mileage/age assumption.
  • Leakage-Free Bug Diagnosis
  • Directed AI Code Review
  • Data-Driven Risk Analysis
The work I submitted20 tasks

12 tasks · 2.4k characters · 8 written answers · 41 words

  • Division Predict73 characters
  • Diagnose Line130 characters
  • Diagnose Why155 characters
  • Scope Prompt66 characters
  • Audit Findings158 characters
  • Template Repo Click82 characters
  • Bob Trial Click138 characters
  • Bob Ready62 characters
  • Bob Bonus322 characters
  • Acceptance Checklist198 characters
  • Audit Why297 characters
  • Exec Pitch705 characters
  • Division Predict1 word
  • Diagnose Line10 words
  • Diagnose Why25 words
  • Scope Prompt1 word
  • Audit Findings1 word
  • Template Repo Click1 word
  • Bob Trial Click1 word
  • Bob Ready1 word

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
Certified

Self-directed project

Supply Chain Optimization with SAP Business AI

Business AI Associate · AI / ML · September 2026

88/ 100

A ProoV case study · educational project, not employment

Built a supply-chain rescue concept end to end for a fictional SAP manufacturer: identified the true bottleneck as a single-sourced critical component with only ~2 weeks of cover, quantified the idle-line cost, and designed a Joule-style copilot that surfaces the next best action from live SAP signals. The plan included explicit human-in-the-loop guardrails, honest payback math, and a board-ready pilot ask with a clear success metric.

Graded against

  • Problem framing & business sense30%
  • Business-AI solution design & guardrails30%
  • ROI and decision quality25%
  • Executive communication15%

Passed · pass mark 60/100

What stood out6
  • Correctly rejected the decoy port delay and focused on the single-sourced component with ~2 weeks of cover
  • Specified a Joule-style copilot that reads live supplier health, inventory cover, open POs, and port status, then surfaces one next action for human approval
  • Applied the value-by-reversibility-by-confidence rule correctly to the critical high-stakes actions, including escalating the new-supplier swap and cheap-but-irreversible scrap
  • Built a bounded board ask: a 2-person, 60-day pilot with success defined as cutting detection-to-mitigation to under 1 day
  • Leakage-Free Problem Diagnosis
  • Guardrail-Based AI Decision Design
The work I submitted19 tasks

11 tasks · 8.3k characters · JavaScript · 8 written answers · 615 words

  • SAP Brand Sentiment Pre183 characters
  • Trust Pledge135 characters
  • Diagnose Break304 characters
  • Problem Statement1.0k characters
  • Copilot SpecJavaScript · 942 characters
  • Guardrails Sort1.7k characters
  • ROI Payback650 characters
  • India Transfer622 characters
  • Board Pitch1.8k characters
  • Teach Back701 characters
  • SAP Brand Sentiment Post188 characters
  • SAP Brand Sentiment Pre14 words
  • Trust Pledge20 words
  • Diagnose Break23 words
  • Problem Statement147 words
  • Copilot Spec134 words
  • Guardrails Sort128 words
  • ROI Payback72 words
  • India Transfer77 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
2Projects completed
2Verified certificates
90Average score
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