M Jawad ur Rehman

I design and deploy scalable GenAI solutions, specialized agentic systems, and RAG architectures that drive measurable business impact.

M Jawad ur Rehman
Available for Work

Crafting the Future of Decision Intelligence.

Full-Stack Engineer & AI Architect

I am M Jawad ur Rehman, a developer dedicated to bridging the gap between sophisticated AI models and real-world utility. My work focuses on building tools that don't just automate tasks, but augment human capability through intelligent design and robust engineering.

With expertise ranging from Modern Web Architectures to Generative AI Workflows, I specialize in the "last mile" of product development—ensuring that complex backends are translated into seamless, high-performance user experiences.

20+Projects Completed
AI/MLSpecialization
Full-StackDevelopment

Experience

2 Years of engineering intelligent solutions.

Proven track record in building LLM systems, Generative AI models, and RAG pipelines. Specialized in bridging the gap between sophisticated AI models and user-centric, production-ready applications.

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Solutions Shipped

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Featured Demos

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AI Internships

2024 · Present

AI Engineer & Founder · AI by MJR

Building LLM systems, RAG pipelines, and agentic workflows. Focused on transformer architectures and generative NLP research prototypes.

2025 · Present

AI Intern · CodeAlpha & DevelopersHub

Developing real-time object detection, language translators, and LLM-based automation workflows. Working on embeddings pipelines and vector search optimization.

Case Studies

Strategic AI Implementations.

Generative AI

2025

LLM From Scratch

Python • PyTorch • NumPy • CUDA

Audio AI

2025

Music Generator

FastAPI • PyTorch • Next.js • LSTM

Natural Language Processing

2025

Language Translator

FastAPI • Next.js • gTTS • Docker

Artificial Intelligence

2025

Knowledge Assistant

Python • FastAPI • Scikit-Learn • NLTK

Financial Technology

2024

Stock Price Forecast

Python • Scikit-Learn • Pandas • yfinance

Generative AI

LLM From Scratch

A deep dive into the architecture of Large Language Models. Built a transformer-based LLM from the ground up, implementing multi-head attention, positional encoding, and layer normalization. Focused on understanding the mathematical foundations of modern generative AI.

PythonPyTorchNumPyCUDA

Transformer Architecture

Custom implementation of self-attention mechanisms.

Efficiency Optimized

Leveraged CUDA for hardware-accelerated training.

Skills

Specialized Toolkit

TransformersLLMsRAGLangChainLangGraphAttention MechanismsVector DBsPrompt Engineering

Academia

Foundations

2023 — 2027

BS Computer Science

University of Central Punjab

Focusing on Artificial Intelligence and Machine Learning. Current CGPA: 3.77 / 4.0.

gen_ai_project.py

$ python deploy_agent.py

› Loading foundation models...

✓ GPT-4 Turbo · Claude 3 Opus

✓ Pinecone + Weaviate hybrid search

✓ Toolformer orchestration ready

› Building agent graph...

from langchain.agents import Tool

crew.load(role="research", autonomy="high")

$

Let's Collaborate

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Currently open to technical leadership roles, AI strategy consulting, and collaborative product development. Let's build the next generation of intelligence together.

Coded in Visual Studio Code. Built with Next.js, Tailwind CSS, & React.