r
rao_faizi

Muhammad Faizan

@rao_faizi

PWA AI Automation Expert

Pakistan
Anglais, Ourdou
Certaines informations sont présentées en anglais.
À propos de moi
🚀 Transforming Businesses with Smart PWAs & Custom AI Automations 👋 Hello! I'm Muhammad Faizan, a Full-Stack Developer specializing in building high-performance Progressive Web Apps (PWAs) and designing advanced AI workflows. With a background in Computer Science and certified expertise in AI/ML and Prompt Engineering, I help businesses eliminate repetitive tasks and scale operations. Whether you need a native-like PWA, custom API integrations, or intelligent automation workflows using n8n and Next.js, I build scalable solutions tailored to your technical needs. Let's automate together! 💻... Plus d’infos

Compétences

r
rao_faizi
Muhammad Faizan
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Sites web IA & Logiciel
I will develop custom pwa with advanced ai automation and n8n
De100 $US / projetPlus de détails

Portfolio

Expérience professionnelle

Upwork

Prompt Engineer

Upwork • Freelance

Dec 2024 - Feb 2026 • 1 yr 2 mos

1. Zero-shot Prompting: Asking a direct question without any background or examples (e.g., "Write a marketing email"). 2. Few-shot Prompting: Providing the AI with a few examples of exactly how you want the task completed so it can mimic the pattern. 3. Persona Assignment: Giving the AI a specific role (e.g., "Act as a senior software engineer") to tailor its vocabulary and expertise. 4. Chain-of-Thought (CoT): Asking the AI to "think step-by-step" before delivering a final answer, which drastically improves accuracy in math or logic tasks. 5. System Prompt Design: Crafting the foundational instructions that dictate how a model acts (e.g., tone, persona, constraints). 6. Prompt Orchestration & Chaining: Designing multi-stage systems where the output of one prompt becomes the input for another. 7. Systematic Testing & Evaluation: Creating frameworks to test model responses, track errors (hallucinations), and ensure output consistency. 8. Model Fine-Tuning: Preparing and structuring training datasets to improve base AI models for specific company tasks