PS C:\Users\Public> .\MUNEEB.ps1

Loading identity profile... Name        : MUNEEB Mode        : Applied AI Developer Status      : building from dataset -> model -> evaluation -> product

PS C:\Users\MUNEEB> whoami Applied AI Developer PS C:\Users\MUNEEB> Get-Location Islamabad, Pakistan PS C:\Users\MUNEEB> Get-Mission Build AI systems from dataset -> model -> evaluation -> product.

PS> Start-Portfolio

PS> Connect-LinkedIn

PS> Send-Mail

PS> Get-Profile

PS C:\Users\MUNEEB> Get-Profile | Select-Object Focus, Output                                                          Focus                         Output -----                         ------ Dataset engineering           clean training and evaluation data Fine-tuning                   LoRA / QLoRA adapters with gates Retrieval                     RAG, embeddings, pgvector Local inference               Qwen, Ollama, llama.cpp, GGUF Product engineering           APIs, dashboards, auth, automation Systems fundamentals          C++, OpenGL, Java, algorithms

PS> Get-LatestPush

PS C:\Users\MUNEEB> Get-Repositories | >> Where-Object Name -ne "muneeb-anjum0" |                                                                             >> Sort-Object PushedAt -Descending | >> Select-Object -First 3

NOPE

PS C:\Users\MUNEEB> Open‑NOPE

Local-first AppSec review workbench for authorized repository and URL scans, with deterministic scanners, evidence-gated findings, reports, drift, and optional local Qwen explanations.

Language: Python Commits: 109 PRs: 1 Last pushed: 2026-08-02

personal-error-101

PS C:\Users\MUNEEB> Open‑personal‑error‑101

Recently updated project repository.

Language: TypeScript Commits: 14 PRs: 0 Last pushed: 2026-07-31

ClassWire

PS C:\Users\MUNEEB> Open‑ClassWire

Inbox2table extracts class schedule emails from Gmail, parses timetable information, and displays organized schedules with semester filtering and multi-user persistence. Built with Flask, React, and Supabase.

Language: Python Commits: 126 PRs: 28 Last pushed: 2026-07-27

PS> Get-Stack

PS C:\Users\MUNEEB> Get-Stack -Grouped AI/Data      PyTorch, Hugging Face, Qwen, LoRA, QLoRA, RAG, pgvector                                                   Inference    Ollama, llama.cpp, GGUF, local-first model routing Web/API      React, Next.js, TypeScript, FastAPI, Flask, Go, Gin Storage      PostgreSQL, MongoDB, Firestore, Redis, SQLite Quality      Playwright, pytest, Vitest, evaluation gates, CI checks Native       C++, OpenGL, Dear ImGui, Java

PS> Get-Rules

PS C:\Users\MUNEEB> Get-Rules [1] Build the dataset before trusting the model. [2] Measure failure cases, not vibes. [3] Keep inference replaceable. [4] Protect credentials and user data by default.                                                                      [5] Ship the smallest useful system.

PS> Get-ContributionActivity

PS C:\Users\MUNEEB> exit build the data; test the model; ship the system