$ whoami
Mouzan Raza
# I build production-ready AI applications — RAG systems, LLM pipelines, and intelligent backends that solve real problems.
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Professional Roles
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AI Projects
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CGPA
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GenAI Study
[01] // Core Expertise
Core Expertise
LLM Architecture
Prompt engineering, model behavior understanding, and advanced reasoning patterns for production systems
RAG Systems
Vector search, embeddings, semantic retrieval, and knowledge integration at scale
AI Automation
n8n workflows, agent orchestration, and intelligent API-based systems
[02] // About Me
About Me
I'm a BS Computer Science student in my 7th semester at GC University Faisalabad, with around 1 year of hands-on experience in Machine Learning and Generative AI.
I started with a 6-month internship as an ML Engineer at WebTech.dev (Vehari), and have since been freelancing independently — specializing further in GenAI and LLM-based systems.
I currently work full-time as a freelancer, mainly with local clients, and I'm building a multi-agent systemthat autonomously generates my own freelancing leads.
Location
Burewala, Pakistan
Education
B.Sc. CS (7th Sem)
Experience
Freelance GenAI Developer
AI Roadmap Mastered
Machine Learning
Foundations, classification, regression
Deep Learning
CNNs, RNNs, LSTMs, word embeddings
LLM Applications
Prompt engineering, model integration
RAG Systems
Vector search, embeddings, retrieval
Agentic AI
Multi-agent, tool use, orchestration
Fine-tuning
Model adaptation, deployment, monitoring
[03] // Technical Skills
Technical Skills
Generative AI & LLMs
Machine Learning & Deep Learning
Backend Development
Data & Vector Databases
Languages
Tools & Platforms
[04] // Featured Projects
Featured Projects
Building intelligent systems that combine LLMs, RAG, and automation.
CareerCopilot AI
Technologies used
CrewAI, FastAPI, Groq (Llama-3.1), Gemini, Pydantic, Python
Multi-agent career assistant built with CrewAI and FastAPI using a mixed-LLM setup — Groq (Llama-3.1) for fast tool-calling web scraping and Gemini for deep ATS analysis and strategic reasoning.
FounderLens AI
Technologies used
CrewAI, FastAPI, LangChain, Supabase, Python
Multi-agent business analysis system built with CrewAI and FastAPI. A sequential 6-agent pipeline processes business data to generate insights on risk, market trends, growth strategies, and outcome simulations.
[05] // Professional Experience
Professional Experience
Freelance GenAI Developer
Independent Freelancer
Working full-time as a freelancer, primarily with local clients, delivering academic and production AI projects.
Specializing in GenAI and LLM-based systems — multi-agent architectures, RAG pipelines, and agentic workflows.
Currently building a multi-agent system that autonomously generates freelance leads.
ML Engineer (Internship)
WebTech.dev, Vehari
Trained machine learning models on real client datasets.
Monitored model performance in production and iterated to maintain accuracy.
[06] // Contact
Let's Work Together
Open to internships, freelance projects, and full-time opportunities in AI engineering and development.