Nida Sheraz — Portfolio

Projekte

Zertifiziert

Selbstgesteuertes Projekt

AI-Assisted Code Modernization with IBM

Junior Software Engineer · Softwareentwicklung · August 2026

92/ 100

Basierend auf einer öffentlichen Fallstudie von IBM · nicht mit IBM verbunden

Built and verified a full legacy-code modernization for a fleet-service tool: fixed the wear calculation, handled missing service readings safely, repaired the nightly report’s average and crash path, corrected a hidden mileage-conversion bug, and added the missing regression test. Also produced a data-driven breakdown-risk analysis that follows the labeled fleet history rather than the misleading mileage assumption.

Bewertet nach

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

Bestanden · Bestehensgrenze 60/100

Was herausstach6

Caught and corrected the missing-reading default so a car is treated as just serviced instead of falsely flagged
Found the quiet fleet_utils.km_to_miles inversion that no test directly covered
Wrote a real breakdown-risk analysis that identifies km_since_service and avg_daily_km as the meaningful signals
Verified the work with pytest and verify.py before accepting it
Leakage-Free Bug Diagnosis
Directed AI Agent Auditing

Meine eingereichte Arbeit19 Aufgaben

11 Aufgaben · 3.2k Zeichen · 8 Textantworten · 298 Wörter

Diagnose Line130 Zeichen
Diagnose Why239 Zeichen
Scope Prompt66 Zeichen
Audit Findings158 Zeichen
Audit Why123 Zeichen
Acceptance Checklist126 Zeichen
Template Repo Click82 Zeichen
Exec Pitch1.7k Zeichen
Bob Bonus263 Zeichen
Bob Ready61 Zeichen
Bob Trial Click266 Zeichen
Diagnose Line10 Wörter
Diagnose Why39 Wörter
Scope Prompt1 Wort
Audit Findings1 Wort
Audit Why21 Wörter
Acceptance Checklist25 Wörter
Template Repo Click1 Wort
Exec Pitch200 Wörter

Bewusst zusammengefasst — der eingereichte Code und die Texte bleiben privat, damit diese Seite nicht als Lösungsvorlage dient. Die vollständige Einreichung steht hinter dem verifizierten Zertifikat.

Verifiziertes ZertifikatFälschungssicher · ausgestellt von ProoV

Zertifiziert

Selbstgesteuertes Projekt

Frontend Engineering with Prediction Game

Junior Front-End Engineer · Softwareentwicklung · August 2026

92/ 100

Eine ProoV-Fallstudie · Lernprojekt, kein Arbeitsverhältnis

Built a complete World Cup prediction game end to end: rendered the fixture board, implemented exact-result scoring, computed team strengths from real historical results, and used them in a Poisson-style house bot. Also persisted and ranked the leaderboard in localStorage and shipped the finished experience to a live HTTPS deployment.

Bewertet nach

Scoring engine correctness30%
Prediction model genuinely from real data25%
Game completeness and leaderboard soundness25%
Shipped and shareable: live deployed URL20%

Bestanden · Bestehensgrenze 60/100

Was herausstach6

Implemented the exact 5/2/0 scoring rule and verified all four canonical cases, including draws.
Computed team strengths from a real-results sample and used those strengths inside the bot prediction logic.
Built a leaderboard that saves to one localStorage key, reloads cleanly, and sorts descending.
Shipped the project with a live Netlify URL, showing the game was deployed rather than left local-only.
Leakage-Free Feature Engineering
Honest Model Evaluation

Meine eingereichte Arbeit16 Aufgaben

8 Aufgaben · 11 Zeilen · JavaScript · 8 Textantworten · 598 Wörter

Lab Orientation667 Zeichen
Act1 Fixtures FormJavaScript · 2 Zeilen
Act2 Scoring FunctionJavaScript · 2.1k Zeichen
Act3 Compute Strength108 Zeichen
Act3 House Bot108 Zeichen
Act4 LeaderboardJavaScript · 2 Zeilen
Act5 Assemble2 Zeilen
Final Submission86 Zeichen
Lab Orientation65 Wörter
Act1 Fixtures Form143 Wörter
Act2 Scoring Function141 Wörter
Act3 Compute Strength1 Wort
Act3 House Bot1 Wort
Act4 Leaderboard138 Wörter
Act5 Assemble108 Wörter
Final Submission1 Wort

Verifiziertes ZertifikatFälschungssicher · ausgestellt von ProoV