Aditya Saini — Portfolio

Projekte

Zertifiziert

Selbstgesteuertes Projekt

Frontend Engineering with Prediction Game

Junior Front-End Engineer · Softwareentwicklung · Oktober 2026

92/ 100

Eine ProoV-Fallstudie · Lernprojekt, kein Arbeitsverhältnis

Built a complete World Cup prediction game end to end: rendered the fixture board, scored picks with the exact 5/2/0 rule, computed team-strength lookups from real results, and used them to drive a bot predictor. Also implemented a persistent ranked leaderboard and shipped the finished game to a live Netlify URL.

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

Rendered each fixture as a card with two numeric inputs and visible team names
Implemented scorePick with correct exact/result-only/wrong-result handling, including draws
Computed team strengths from real results and used both teams' strengths in botPredict
Persisted and reloaded leaderboard state under one key with descending sort
Leakage-Free Feature Engineering
Honest Model Evaluation

Meine eingereichte Arbeit17 Aufgaben

9 Aufgaben · 11 Zeilen · JavaScript · 8 Textantworten · 699 Wörter

Lab Orientation678 Zeichen
Act1 Fixtures FormJavaScript · 3.8k Zeichen
Act2 Scoring FunctionJavaScript · 2.3k Zeichen
Act3 Compute Strength108 Zeichen
Act3 House Bot108 Zeichen
Example Save Rank ReadonlyJavaScript · 3.3k Zeichen
Act4 LeaderboardJavaScript · 2 Zeilen
Act5 Assemble2 Zeilen
Final Submission91 Zeichen
Lab Orientation66 Wörter
Act1 Fixtures Form143 Wörter
Act2 Scoring Function131 Wörter
Act3 Compute Strength1 Wort
Act3 House Bot1 Wort
Example Save Rank Readonly111 Wörter
Act4 Leaderboard138 Wörter
Act5 Assemble108 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

Fundamentals of Cybersecurity

Cybersicherheit · September 2026

91/ 100

Eine ProoV-Fallstudie · Lernprojekt, kein Arbeitsverhältnis

Built an end-to-end incident response workflow for a phishing-led breach: triaged the lure, traced the attacker through authentication logs, mapped the intrusion to the cyber kill chain, and selected containment actions that cut access before escalation. Also drafted a GDPR Article 33 notification and translated the method to the Continental case with a concrete control recommendation focused on segmentation and DLP.

Bewertet nach

Threat Triage & Detection20%
Log Analysis & Investigation30%
Incident Response & Containment20%
Compliance & Breach Notification15%
Executive Communication & Lessons15%

Bestanden · Bestehensgrenze 60/100

Was herausstach6

Caught all four phishing red flags, including sender, link, attachment, and urgency
Identified the impossible-travel sign-in and tied it to the compromised account path
Chose a containment order that cuts access before more disruptive actions
Anchored the real-case recommendation to segmentation and DLP at the exfiltration stage
Leakage-Free Incident Triage
Evidence-Based Log Investigation

Meine eingereichte Arbeit18 Aufgaben

10 Aufgaben · 6.4k Zeichen · 8 Textantworten · 314 Wörter

Phishing Triage186 Zeichen
Killchain Map244 Zeichen
Log Triage170 Zeichen
Ioc Extraction176 Zeichen
Containment Plan373 Zeichen
Breach Notification944 Zeichen
Incident Report2.3k Zeichen
Recommendations648 Zeichen
Real Case Analysis817 Zeichen
Teach Back552 Zeichen
Phishing Triage8 Wörter
Killchain Map12 Wörter
Log Triage9 Wörter
Ioc Extraction8 Wörter
Containment Plan14 Wörter
Breach Notification103 Wörter
Incident Report147 Wörter
Recommendations13 Wörter

Verifiziertes ZertifikatFälschungssicher · ausgestellt von ProoV

Zertifiziert

Selbstgesteuertes Projekt

Supply Chain Optimization with SAP Business AI

Business AI Associate · KI / ML · September 2026

94/ 100

Eine ProoV-Fallstudie · Lernprojekt, kein Arbeitsverhältnis

Built a supply-chain rescue plan for a fictional SAP manufacturer by isolating the true bottleneck, a single-sourced critical component with about two weeks of cover, and translating it into a Joule-style copilot that surfaces the next best action. The work includes explicit human-approval guardrails, an honest euros-saved estimate, an India transfer check, and a concise board pitch with a bounded pilot ask.

Bewertet nach

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

Bestanden · Bestehensgrenze 60/100

Was herausstach6

Correctly rejected the loud port delay and focused on the single-sourced bottleneck with ~2 weeks of cover
Defined a Joule-style copilot that surfaces the next best action and keeps high-stakes decisions with a human
Applied the low-value, reversible, high-confidence rule correctly and caught the cheap-but-irreversible trap
Built an honest payback case that states 3 recovered days plus avoided expedite cost without overclaiming
Leakage-Free Problem Diagnosis
Human-in-the-Loop AI Guardrail Design

Meine eingereichte Arbeit19 Aufgaben

11 Aufgaben · 7.2k Zeichen · 8 Textantworten · 548 Wörter

SAP Brand Sentiment Pre182 Zeichen
Trust Pledge135 Zeichen
Diagnose Break331 Zeichen
Problem Statement973 Zeichen
Copilot Spec700 Zeichen
Guardrails Sort1.7k Zeichen
ROI Payback586 Zeichen
India Transfer565 Zeichen
Board Pitch1.4k Zeichen
Teach Back434 Zeichen
SAP Brand Sentiment Post188 Zeichen
SAP Brand Sentiment Pre14 Wörter
Trust Pledge20 Wörter
Diagnose Break23 Wörter
Problem Statement139 Wörter
Copilot Spec96 Wörter
Guardrails Sort127 Wörter
ROI Payback60 Wörter
India Transfer69 Wörter

Verifiziertes ZertifikatFälschungssicher · ausgestellt von ProoV

Zertifiziert

Selbstgesteuertes Projekt

AI-Assisted Code Modernization with IBM

Junior Software Engineer · Softwareentwicklung · September 2026

96/ 100

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

Built and verified a full legacy-code modernization for KM-Waechter: fixed the wear calculation, handled missing service readings safely, repaired the nightly report, corrected a hidden mileage-conversion bug in the helpers, and added the missing regression test. Also delivered a data-driven breakdown-risk analysis that follows the fleet history rather than the naive mileage assumption, with acceptance checks confirming all requirements passed.

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

Correctly identified the whole-number division bug and explained why it suppressed nearly-worn cars to 0% wear.
Caught the quiet helper-module mileage conversion bug that no test covered and fixed it in fleet_utils.py.
Added the missing no-reading fleet report test and confirmed the repo with a full 11/11 acceptance check.
Produced a data-backed analyze.py that explicitly rejects the misleading mileage/age assumption and focuses on the predictive factors in the dataset.
Leakage-Free Bug Diagnosis
Directed AI Code Review

Das Ergebnis

Zum Codeadityasaini0070 / proov-km-waechter-fix

Meine eingereichte Arbeit20 Aufgaben

12 Aufgaben · 3.2k Zeichen · 8 Textantworten · 126 Wörter

Division Predict71 Zeichen
Diagnose Line130 Zeichen
Diagnose Why159 Zeichen
Scope Prompt66 Zeichen
Audit Findings158 Zeichen
Audit Why356 Zeichen
Acceptance Checklist170 Zeichen
Bob Trial Click74 Zeichen
Template Repo Click82 Zeichen
Bob Ready60 Zeichen
Verify Report71 Zeichen
Exec Pitch1.8k Zeichen
Division Predict1 Wort
Diagnose Line10 Wörter
Diagnose Why24 Wörter
Scope Prompt1 Wort
Audit Findings1 Wort
Audit Why62 Wörter
Acceptance Checklist26 Wörter
Bob Trial Click1 Wort

Verifiziertes ZertifikatFälschungssicher · ausgestellt von ProoV

Zertifiziert

Selbstgesteuertes Projekt

Amazon Robotics - Black-Friday Fleet Coordination

Softwareentwicklung · August 2026

96/ 100

Eine ProoV-Fallstudie · Lernprojekt, kein Arbeitsverhältnis

Built an end-to-end warehouse fleet coordination prototype for Black Friday surge conditions. The work framed the bottleneck correctly as aisle congestion and dock contention, implemented admissible A* plus a centralized reservation-table cooperative planner with vertex and edge safety, and validated a realistic policy stack for charging and idle placement. The final recommendation was grounded in simulator evidence showing zero collisions and sustained throughput under the chosen policy.

Bewertet nach

Problem framing & operational stakes20%
Algorithmic depth - A* and cooperative coordination30%
Coordination policy realism - deadlock, charging, idle25%
Throughput trade-off analysis15%
Executive pitch to leadership10%

Bestanden · Bestehensgrenze 55/100

Was herausstach6

Implemented A* with an admissible Manhattan heuristic on a 4-connected grid and verified it against optimal path length and runtime comparisons.
Built a reservation table that reserves both vertices and directed edges, preventing same-cell collisions and head-on swaps.
Selected a realistic coordination policy: priority/watchdog replan, staggered charging, and dispersed perimeter idle parking.
Used simulator outputs to identify a concave throughput optimum at 36 robots and tied the final pitch to zero collisions over the full shift.
Leakage-Free Feature Engineering
Honest Model Evaluation

Meine eingereichte Arbeit20 Aufgaben

12 Aufgaben · 7.4k Zeichen · Python · 8 Textantworten · 364 Wörter

Role And Mission115 Zeichen
Amazon Robotics Context459 Zeichen
Grid World Theory104 Zeichen
State Representation Task ValidatorPython · 1.8k Zeichen
State Representation Task341 Zeichen
Phase1 Recap348 Zeichen
Astar Theory124 Zeichen
Astar Implementation Cell3.2k Zeichen
Astar Solution Correct4 Zeichen
Single Unit Challenge464 Zeichen
Phase2 Recap374 Zeichen
Multi Agent Problem111 Zeichen
Role And Mission1 Wort
Amazon Robotics Context37 Wörter
Grid World Theory1 Wort
State Representation Task Validator133 Wörter
State Representation Task1 Wort
Phase1 Recap23 Wörter
Astar Theory1 Wort
Astar Implementation Cell167 Wörter

Verifiziertes ZertifikatFälschungssicher · ausgestellt von ProoV