"The goal is to turn data into information, and information into insight."
I'm Abdulrahman Saad Asiri β a Data Engineer at STC (Saudi Telecom Company), AI engineer, and self-described learningholic πΈπ¦. My work sits at the intersection of artificial intelligence, financial markets.
- π Building: An AI company β production-grade agents & ML systems
- π§ Focus Areas: LLMs Β· Embeddings Β· Agentic Systems Β· Quant Finance Β· Arabic NLP
- π¬ Ask Me About: AI, Data Engineering, Saudi Stock Market, Technical Analysis
- π Currently Studying: CMT Program (Chartered Market Technician)
- β‘ Philosophy: If it's new, I'm already studying it
- π Based In: Riyadh, Saudi Arabia
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π€ AI & Machine Learning
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π Data & Analytics
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βοΈ Backend & Frontend
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βοΈ DevOps Β· π Finance
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β¬ Stock Agents Β Β·Β β¬ Saudi Market Intelligence Β Β·Β β¬ Data Science Basics Β Β·Β β¬ Bidaya Β Β·Β β¬ Sentiment Insight Β Β·Β β¬ Mindmaps Β Β·Β β¬ Tasamuh VR Β Β·Β β¬ Cyber-Awareness
CIO-Grade Investment Platform Powered by 11 Specialized AI Agents
- π₯ 11 specialized AI agents collaborating on institutional-quality investment analysis
- π Dual-market coverage β US equities and Saudi Tadawul
- β‘ Real-time price streaming over WebSockets with Redis-backed caching
- π Portfolio analytics with automated multi-agent conviction logic
- π οΈ Dockerized microservices architecture (FastAPI + Next.js + PostgreSQL)
Institutional-Grade Market Intelligence for Tadawul (TASI)
- π§ BiLSTM + Multi-Head Attention architecture trained on 40+ technical features
- π― Monte Carlo Dropout for calibrated confidence scores (25β95%)
- π Real-time stock scanner ranking 200+ Saudi stocks by signal strength
- πΌ Full portfolio tracking with P/L, risk metrics, and trade execution
Comprehensive Bilingual (Arabic / English) Data Science Guide Β Β·Β β 50+ Stars
- π End-to-end curriculum covering machine learning, deep learning, and practical Python
- π Fully bilingual content β written to serve the Arabic-speaking community
- π Hands-on Jupyter notebooks from fundamentals through production-ready patterns
- β¨ The most-starred repo in my public portfolio β community-validated learning resource
AI-Powered Interview Coach with Voice AI & Real-Time Feedback
- ποΈ Voice AI pipeline β Speech-to-Text, Text-to-Speech, live recording
- π€ Multi-AI support (GPT-4o, Grok, Llama 3.1, Gemini)
- π― Smart interview modes (Behavioral, Technical, Mixed) with difficulty levels
- π Bilingual support (Arabic & English) with resume analysis
- π Analytics dashboard with performance tracking and 7-day action plans
AI-Powered Sentiment Analysis Platform β Understand Feelings. Empower Decisions.
- π§ Transformer-based sentiment model served via a FastAPI inference layer
- π¨ Clean, branded web interface for real-time inference
- βοΈ Production-oriented packaging with clear request/response contracts
- π¦ Ships with full branding guide and deployment documentation
Interactive, Deeply-Detailed Tech Mindmaps
- π 30+ comprehensive interactive mindmaps covering major tech domains
- π Detailed reference branches attached to every mindmap for deeper learning
- βοΈ Automated generation via Python, exported to HTML
- π Centralized portal dashboard for easy navigation
Interactive Arabic VR Experience on Tolerance, Justice, and Revenge
- π₯½ Immersive VR storytelling exploring tolerance, justice, and revenge
- π Arabic-first experience designed for cultural and educational contexts
- π¨ Interactive scenes built for web-based VR delivery
Interactive Cybersecurity Awareness Training Platform
- π₯ Shock splash animation simulating a breach scenario for awareness training
- β Step-by-step incident response checklist (disconnect, passwords, 2FA, scan)
- π Preventive tips in Arabic (RTL) with responsive dark UI and glitch effects
- π Replay control for demos and repeated training sessions
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Retrieval-Optimized Embedding Model for Saudi Arabic RAG Systems
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Arabic AI Benchmark by NAMAA
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| Project | Description | |
|---|---|---|
| βοΈ | CodeForge | Full-stack development platform with Terraform infrastructure |
| π | Stock_101 | Stock market analysis tool built with Python |
| π | Saudi Market Knowledge Graph | Knowledge graph for Saudi market data with Jupyter analytics |
| π¬ | Sentiment Analysis | Arabic sentiment analysis project |
| π | DataPulse-Analytics | Advanced data analytics and processing platform |
| Credential | Institution | |
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| π» | B.Sc. Computer Science | Majmaah University |
| π€ | Data Science & AI Bootcamp | Tuwaiq Academy |
| π | CMT Candidate | Chartered Market Technician Program |
| π | Data Scientist Associate | DataCamp |
| π§ | Deep Learning Fundamentals | NVIDIA |
| Focus Area | Progress |
|---|---|
| π CMT Program (Chartered Market Technician) |  |
| π§ Production LLM & Agentic Systems |  |
| ποΈ Large-Scale Data Architecture |  |
Building scalable data pipelines and AI systems for the region's leading digital enabler.
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Investment Club Leading strategic investment decisions and portfolio management initiatives. |
Investment Club Directing financial research and market analysis operations. |
I'm always open to discussing AI, data engineering, quant finance, and opportunities for collaboration.
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Professional
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Thoughts
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Models
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Direct
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π¬ Open to: Collaborations Β· Research Partnerships Β· AI Projects Β· Speaking
