Neha Kumari

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Neha Kumari

Political Science · University of Lucknow

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Projects

Certified

Self-directed project

Introduction to Tokenized Real-World Assets

Product · September 2026

88/ 100

A ProoV case study · educational project, not employment

Built a clear beginner explanation of tokenized real-world assets and made a sensible first product call: a tokenized Treasury fund. Demonstrated that the token is a claim on an underlying asset held by a custodian, explained why Treasury-backed products are the most practical starting point, and identified custody risk with a concrete safeguard.

Graded against

  • Product choice & reasoning40%
  • Grasp of the basics35%
  • Risk awareness25%

Passed · pass mark 55/100

What stood out6
  • Chose a tokenized Treasury fund as the first product and justified it with yield, backing, and redeemability
  • Explained the token as a digital claim rather than the asset itself
  • Named a real risk (custodial failure) and paired it with a practical safeguard (ring-fenced custodian)
  • Leakage-Free Concept Mapping
  • Plain-Language Financial Explanation
  • Risk-Safeguard Matching
The work I submitted16 tasks

8 tasks · 3.3k characters · 8 written answers · 384 words

  • Coat Check94 characters
  • Tokenization Demo344 characters
  • Product Sort347 characters
  • Yield Flow237 characters
  • Depeg Sim335 characters
  • Risk Match347 characters
  • First Recommendation598 characters
  • Teach Back1.0k characters
  • Coat Check1 word
  • Tokenization Demo32 words
  • Product Sort17 words
  • Yield Flow20 words
  • Depeg Sim29 words
  • Risk Match24 words
  • First Recommendation92 words
  • Teach Back169 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
Certified

Self-directed project

AI-Assisted Code Modernization with IBM

Junior Software Engineer · Software Engineering · September 2026

96/ 100

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

Built and verified a full legacy-code modernization for KM-Waechter: fixed the wear calculation, handled missing service readings safely, repaired the nightly report’s average and crash path, corrected a hidden mileage-conversion bug in the helpers, and added the missing regression test. Also delivered a data-driven breakdown-risk analysis that identified km_since_service, avg_daily_km, and load_factor as the real predictors, while showing that total mileage and age were not.

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
  • Caught and fixed the quiet km_to_miles direction bug that no test covered
  • Added the missing no-reading report test and verified the report no longer crashes
  • Produced a breakdown-risk analysis that follows the data instead of the obvious but wrong mileage assumption
  • Leakage-Free Feature Engineering
  • Honest Model Evaluation
  • Directed AI Agent Auditing
The work I submitted20 tasks

12 tasks · 4.3k characters · 8 written answers · 201 words

  • Division Predict73 characters
  • Diagnose Line130 characters
  • Diagnose Why376 characters
  • Scope Prompt66 characters
  • Audit Findings158 characters
  • Audit Why475 characters
  • Acceptance Checklist435 characters
  • Bob Ready60 characters
  • Template Repo Click82 characters
  • Exec Pitch1.6k characters
  • Bob Bonus809 characters
  • Repo URL53 characters
  • Division Predict1 word
  • Diagnose Line10 words
  • Diagnose Why55 words
  • Scope Prompt1 word
  • Audit Findings1 word
  • Audit Why72 words
  • Acceptance Checklist60 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
2Projects completed
2Verified certificates
92Average score
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