Mohammed Owais Najmuddin

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Mohammed Owais Najmuddin

computer science with specialization of [AI/ML] · Pallavi Engineering College

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Projects

Certified

Self-directed project

AI-Assisted Code Modernization with IBM

Junior Software Engineer · Software Engineering · October 2026

96/ 100

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

Built and verified a complete legacy-code modernization for a fleet-maintenance service: corrected the wear calculation, handled missing service readings safely, fixed the nightly report’s averaging and crash behavior, and swept helper modules for a silent mileage-conversion bug. Also added the missing regression test, modernized the code style, and produced a data-driven breakdown-risk analysis that prioritizes km_since_service, daily usage, and load factor over misleading mileage assumptions.

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-module mileage conversion bug that no test explicitly caught
  • Added the missing regression test for a car with no last-service reading
  • Wrote a breakdown-risk analysis that explicitly rejects the misleading odometer/age hypothesis
  • Documented the agent’s mistakes and the verification steps in NOTES.md
  • Leakage-Free Bug Hunting
  • Verified AI Output Auditing
The work I submitted20 tasks

12 tasks · 2.2k characters · 8 written answers · 103 words

  • Division Predict72 characters
  • Diagnose Line130 characters
  • Diagnose Why207 characters
  • Scope Prompt66 characters
  • Audit Findings158 characters
  • Audit Why208 characters
  • Acceptance Checklist226 characters
  • Bob Ready60 characters
  • Template Repo Click82 characters
  • Verify Report71 characters
  • Exec Pitch599 characters
  • Bob Bonus297 characters
  • Division Predict1 word
  • Diagnose Line10 words
  • Diagnose Why30 words
  • Scope Prompt1 word
  • Audit Findings1 word
  • Audit Why28 words
  • Acceptance Checklist31 words
  • 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

Machine Learning for Automotive

AI / ML · September 2026

84/ 100

A ProoV case study · educational project, not employment

Built an end-to-end used-car pricing analysis for VW and Audi listings in the UK market. Combined EDA, feature engineering, and model comparison to show that a Random Forest outperformed a linear baseline, then translated the results into a pricing recommendation for a Certified Pre-Owned team with concrete thresholds and pilot guidance.

Graded against

  • Exploratory Data Analysis20%
  • Feature Engineering25%
  • Model Building & Evaluation35%
  • Business Communication20%

Passed · pass mark 60/100

What stood out6
  • Built a clear VW/Audi comparison with brand-tagged EDA and a price premium analysis
  • Used a correlation heatmap and scatter plots to identify year, engine size, and mileage as key pricing drivers
  • Compared a linear baseline against Random Forest with multiple metrics and quantified the improvement
  • Translated model output into a practical CPO recommendation with pricing thresholds and pilot guidance
  • Leakage-Free Feature Engineering
  • Honest Model Evaluation
The work I submitted10 tasks

5 tasks · 6 lines · 5 written answers · 188 words

  • VW Sprint1 Complete56 characters
  • VW Sprint2 Complete61 characters
  • VW Sprint3 Complete59 characters
  • VW Business Insights1.5k characters
  • Jupyterlite Code2 lines
  • VW Sprint1 Complete1 word
  • VW Sprint2 Complete1 word
  • VW Sprint3 Complete1 word
  • VW Business Insights184 words
  • Jupyterlite Code1 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
2Projects completed
2Verified certificates
90Average score
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