SYSTEM.KERNEL :: v1.0.0 ONLINE

// Hello, I'm

Younus Syed

<|>

CS grad from UT Dallas passionate about AI systems, RAG pipelines, and scalable backends. I build things that matter — from LLM orchestration layers to full-stack products.

2+ YRS
EXPERIENCE
10+ DEP
PROJECTS
∞ ml
CAFFEINE
portfolio.tsx
1  
2  import { Engineer } from './universe';
3  
4  const Portfolio = () => (
5    <Engineer
6      name="Younus Syed"
7      role="Software Engineer"
8      passion="Building AI Systems"
9    />
10 );
younus@portfolio:~
$
scroll

About.system

YS
Younus Syed
● ONLINE
OPERATORYOUNUS SYED
ROLESOFTWARE_ENGINEER
LOCATIONDallas, TX
EDUCATIONUT Dallas CS '26
GPA3.6 / 4.0
STATUSAVAILABLE
2+ YRS
EXPERIENCE
10+
PROJECTS
∞ ml
CAFFEINE
user_profile.log
➜ whoami

I'm a Software Engineer and CS graduate from UT Dallas with a passion for building AI-powered systems, distributed backends, and data-driven applications. I thrive at the intersection of machine learning and software engineering.

➜ cat mission.txt

Translating complex problems into elegant technical solutions. Currently focused on LLM Orchestration, RAG Pipelines, and Scalable Backend Systems.

coursework.json
// University of Texas at Dallas — B.S. Computer Science
Data Structures & AlgorithmsDatabase SystemsComputer ArchitectureUNIXObject-Oriented Programming

Skills.json

// Select a category to explore

{ }Languages6 skills
Core programming languages used for backend, scripting, and systems work.
Python92%
JavaScript88%
Java85%
C++78%
C#72%
SQL85%
// All Technologies
PythonJavaScriptJavaC++C#SQLReact.jsNext.jsTypeScriptJavaFXNode.jsSpring BootAWSDockerPostgreSQLMongoDBRedisFirebaseRAG PipelinesLLM OrchestrationEmbeddingsVector DatabasesMCPPrompt EngineeringLangChainData PipelinesLinux / RHELUnixGitWebLogicTomcatApacheAndroid Studio

$ git log --stat --oneline

// Professional experience timeline

$ ls -la ~/projects

View all repositories ↗

// Pinned Projects — 2 repositories

📁AI Receptionist
Public

Implemented an end-to-end RAG pipeline using OpenAI embeddings + Weaviate vector database for intelligent query handling. Designed backend architecture with PostgreSQL, Redis for caching, and Docker for containerized deployment.

ReactNode.jsDockerRedisPostgreSQLRAGOpenAIWeaviate
React478
📁AI System-Admin
Public

Engineered an AI system-admin workflow capable of autonomously provisioning a full 3-tier AWS architecture. Designed with microservices architecture and MVC patterns, implementing CORS and aggregation queries. Features modular architecture supporting dynamic resource management and automated rollback.

PythonAWSPostgreSQLDockerMCPRAGMicroservices
Python6211

$ ./contact.exe

// Open to new opportunities, collaborations, and conversations

contact_info.json
{
"status": "available",
"phone": "(956)-578-1070",
"socials": {
"github": "@ysyed9",
},
"location": "Dallas, TX",
"response": "within 24h"
}
Waiting for connection..._
TSsendMessage.ts
mail.composesecure channel

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