CTO & AI/ML EngineerAvailable immediately · Open to remote roles globally and KSA on-site · Zero visa friction

MARWAN

ALJIJAKLI

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02 · About

THE MIND BEHIND THE SYSTEMS

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Production AI Systems

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IEEE Research Papers

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Active Users

🏆

National Competition Finalist

Results-driven CTO and AI/ML Engineer with hands-on expertise spanning Computer Vision , Generative AI , LLM applications , and production-grade AI system deployment. Based in Jeddah, Saudi Arabia , I build systems that don't just work in notebooks they ship to production and create real impact.

PyTorch / TensorFlow0%
LangChain & RAG Pipelines0%
Computer Vision (YOLO, OpenCV)0%
Docker / FastAPI / DevOps0%
Prompt Engineering0%
Flutter & Mobile Integration0%
Marwan Aljijakli — CTO & AI/ML Engineer
ICAIS 2025
/· profile · subject_01
Marwan Aljijakli
Jeddah · GMT+3
Verified operatorfig. 00
Cognitive network · live
~/marwan — zsh● running
Models Trained:100+|RAG Pipelines Built:10+|Docker Containers Deployed:50+|YOLO Models Fine-tuned:15+|LLM APIs Integrated:8+|Industries Served:5+|Models Trained:100+|RAG Pipelines Built:10+|Docker Containers Deployed:50+|YOLO Models Fine-tuned:15+|LLM APIs Integrated:8+|Industries Served:5+|
04 · The Tech Stack

THE TECH STACK

A live inventory of the tools and frameworks that ship the systems. Grouped by domain, with years of hands-on use.

fig. 02 — production technology index
Engineering stack
44 stacks9 domains
GPU · CUDARAG · Hybrid RetrievalLLM Fine-tuningReal-time CVVector SearchMulti-cloudProduction Microservices
Languages
6 languages
Python
End-to-end · every production service
6+y
TypeScript
React · Next.js · typed APIs
2y
SQL
Postgres · analytics · window functions
3y
Dart
Flutter mobile applications
2y
Bash / Shell
Automation · Linux pipelines
4y
C++
Perf-critical CV modules · bindings
2y
AI / ML Frameworks
5 frameworks
PyTorch
Model training · research to production
2y
TensorFlow / Keras
Production inference · serving
2y
Hugging Face Transformers
Pretrained models · pipelines
2y
scikit-learn
Classical ML · feature engineering
3y
CUDA / GPU
GPU acceleration · mixed precision
2y
LLM & GenAI Engineering
6 stacks
LangChain / LangGraph
Agent orchestration · tool use
2y
OpenAI API
GPT-4 · function calling · structured output
2y
Anthropic Claude API
Long-context reasoning · tool use
2y
Ollama / vLLM
Self-hosted LLM inference serving
1y
LoRA · PEFT
Parameter-efficient fine-tuning
1y
Prompt Engineering
CoT · guardrails · few-shot
2y
Computer Vision
5 librarys
OpenCV
Image & video processing pipelines
2y
YOLO v8 / v11
Real-time object detection
2y
MediaPipe
Face · pose · hand tracking
1y
ONNX Runtime
Cross-framework model deployment
1y
rPPG
Contactless vitals from RGB video
2y
RAG & Vector DBs
4 stores
FAISS
High-performance similarity search
2y
ChromaDB
Embedded vector database
2y
Qdrant
Production vector search · filters
1y
Hybrid Retrieval
BM25 + dense · re-ranking
1y
Backend & APIs
4 frameworks
FastAPI
Async Python microservices · Pydantic
2y
Flask
Lightweight services · prototypes
3y
WebSocket / SSE
Real-time streaming telemetry
2y
Celery / Redis Queues
Background workers · async tasks
2y
Data Stores
3 stores
PostgreSQL
Relational · structured data
2y
Redis
Caching · pub/sub · rate limiting
2y
MongoDB
Document store · flexible schema
2y
DevOps & Cloud
7 tools
Docker · Compose
Containerised deployments
2y
Kubernetes
Orchestration · scaling · rollouts
1y
GitHub Actions
CI/CD · automated builds
2y
AWS
EC2 · S3 · Lambda · CloudFront
2y
Nginx
Reverse proxy · TLS · load balancing
2y
Git
Source control & collaboration
4y
Linux
Servers · edge hosts · Ubuntu/Debian
6+y
Frontend & Mobile
4 frameworks
Next.js / React
App Router · SSR · RSC
2y
Tailwind CSS
Utility-first design system
2y
Three.js / R3F
3D scenes · GPU particles
1y
Flutter
Cross-platform mobile apps
2y
Capabilities · by domain

AI & LLMs

01 / 06
  • GPT-4
  • Claude
  • Llama
  • Qwen
  • LangChain
  • RAG

Computer Vision

02 / 06
  • OpenCV
  • YOLO v8/v11
  • MediaPipe
  • rPPG
  • Video Analytics

Deployment

03 / 06
  • Docker
  • FastAPI
  • Linux
  • CI/CD
  • Microservices
  • REST APIs

Data & Databases

04 / 06
  • Python
  • SQL
  • PostgreSQL
  • FAISS
  • Chroma
  • Vector DBs

GenAI & Vibe Coding

05 / 06
  • Cursor
  • Claude Code
  • GitHub Copilot
  • Prompt Engineering

Frontend & Mobile

06 / 06
  • Flutter
  • API Design
  • Real-time Streaming
05 · Mission Log

EXPERIENCE

A chronological log of shipped work — roles, responsibilities, and the systems that came out of each sprint.

Current
Technology leadership

Chief Technology Officer

BOHIO
  • Led full AI product roadmap serving 800+ users at 99.7% production uptime
  • Architected LLM/RAG pipelines and cloud-native infrastructure with FastAPI, Docker, and GitHub Actions CI/CD
  • Directed cross-functional team across ML engineering, backend, and DevOps
  • Reduced deployment cycle time by 60% via automated CI/CD pipelines
  • Evaluated and selected production LLM vendors and vector database solutions
/· org · structuredepth = 3 · breadth = 6
Current
Health platform · biometrics

AI Engineer

VLEED
  • Built production rPPG engine achieving 91% HR accuracy at 28 FPS with <145ms latency
  • Deployed to mobile SDK serving 300+ users with real-time HR/HRV/SpO₂ extraction
  • Engineered RAG-backed health knowledge retrieval pipeline (LangChain + FAISS)
  • Built production FastAPI microservices for biometric data processing and storage
  • Contributed across full product lifecycle: training → deployment → mobile SDK
rPPG · live tracehr · 72 bpm · spo₂ · 98%
Applied ML · benchmarking

AI Engineer & Data Analyst

Taghna
  • Built 88% accuracy deep learning classifier on 12K industrial samples
  • Achieved 3× faster anomaly detection vs baseline models
  • Developed benchmarking scripts and real-time performance dashboards
Confusion matrix · eval runacc · 90%
Embedded systems · BLE · MQTT

IoT Systems Engineer

Freelance
  • Designed and deployed multi-node ESP32 sensor mesh systems processing 100K+ events/day at sub-50ms latency
  • Developed BLE 5.0 mesh firmware on nRF52840 for indoor positioning (±1.8m accuracy, 200+ connections)
  • Built 12-node smart greenhouse with YOLOv5 pest detection at 94% accuracy
  • Delivered 5+ production IoT deployments for industrial and agricultural clients
/· org · structuredepth = 3 · breadth = 6
STM32 · FreeRTOS · HAL

Embedded Systems Intern

Industry Placement
  • Developed STM32 HAL drivers with FreeRTOS achieving <0.8ms interrupt response time
  • Implemented UART/SPI/I2C communication drivers for industrial sensor peripherals
  • Documented embedded firmware architecture for team knowledge transfer
Confusion matrix · eval runacc · 90%

And the journey continues…

03 · Selected Work

WHAT I'VE BUILT

Production AI systems that create real-world impact.

Flagship Project2024

AURA

AI Safety Ecosystem for Mining & Industrial Complexes

End-to-end AI safety platform with real-time PPE compliance tracking, unauthorized zone detection using YOLO-based CV, and automated alerting dashboards. Deployed in high-risk industrial environments.

YOLO v8OpenCVFastAPIDockerReal-time Video AnalyticsAlert PipelinesPostgreSQLRedis
Improved regulatory compliance and enabled proactive hazard intervention across high-risk industrial environments.
WorkerRestrictedCCTV FOVPPE ✓PPE ✗
Live simulation
HR72bpm
SpO₂98%
AI Engineer · 2024

VLEED Health Platform

Non-Contact Vital Sign Extraction via Facial Video

Engineered rPPG engine for Heart Rate, HRV, and SpO₂ extraction from facial video. Integrated RAG pipelines (LangChain + FAISS) for AI-driven health insights. FastAPI microservices on Docker.

rPPGLangChainFAISSFastAPIDockerSQLMediaPipeFlutter
Real-time biometric monitoring without wearable contact — enabling remote triage and continuous health screening at scale.
02 / 06
Mining Optimization MetricsFuture Minerals Pioneers
255075100Safety Incidents48% ↓Equipment Uptime94%Yield Prediction87%Cost Optimization31% ↓Operator Efficiency76%
Competition FinalistAI Engineer · 2024

Wathba

AI for Saudi Mining Sector — Future Minerals Pioneers

AI-driven predictive models addressing operational and safety challenges in Saudi mining. Advanced to finals of national Future Minerals Pioneers competition with practical AI solutions for resource management.

Predictive MLData EngineeringPythonComputer VisionPandasScikit-learn
Finalist in a national mining-innovation competition. Demonstrated practical AI pathways for Saudi resource management.
03 / 06
Document
PDFs · Markdown · HTML
Embeddings
Text → Vectors
Vector DB
FAISS · Chroma
Query
User question
LLM
GPT-4 · Claude
Answer
Cited response
AI Engineer · 2024

Enterprise RAG Pipeline

Production Retrieval-Augmented Generation Architecture

Built production RAG systems using LangChain, FAISS, and Chroma for real-time intelligent document retrieval. Deployed for medical data analysis at VLEED.

LangChainFAISSChromaGPT-4ClaudeVector DBsPythonOpenTelemetry
Powers real-time intelligent document retrieval in a medical setting — turning unstructured records into queryable, cited answers.
04 / 06
ESP32 Mesh · 12 NodesMQTT Live
N0127°C
N0228°C
N0325°C
N0427°C
N0526°C
N0626°C
N0728°C
N0827°C
N0928°C
N1029°C
N1125°C
N1222°C
Avg Temp27°C
Avg Humidity70%
Online12/12
IoT Systems Engineer · 2024

Smart Greenhouse

12-Node IoT Mesh + YOLOv5 Pest Detection

12-node ESP32 sensor mesh with automated climate control and YOLOv5-based plant disease and pest detection. Full pipeline from sensor ingestion to computer vision inference at sub-500ms latency.

ESP32YOLOv5MQTTPythonNode-REDInfluxDB
Enabled early pest detection and automated climate response, reducing crop loss and manual monitoring overhead.
05 / 06
A1A2A3A4
Accuracy±1.8m
Conns200+
Embedded Systems Engineer · 2023

BLE Indoor Positioning

Sub-2m Accuracy Navigation via nRF52840 + BLE 5.0

Bluetooth 5.0 mesh firmware on nRF52840 with trilateration-based indoor positioning achieving ±1.8m accuracy across 200+ simultaneous connections. Designed for large-scale industrial facility navigation.

nRF52840BLE 5.0C/C++FreeRTOSPythonRSSI trilateration
Delivered ±1.8m indoor positioning accuracy at scale, enabling real-time asset and personnel tracking without GPS infrastructure.
06 / 06
Education & Certifications

Academic Foundation

GPA4.35 / 5.0

B.Sc. Artificial Intelligence

Jeddah International College
2022 – 2026

Core AI foundations · ML · Computer Vision · NLP · Data Science

AWS Cloud Practitioner
Amazon Web Services
2024
Google IT Automation with Python
Google / Coursera
2024
IoT Specialization
Coursera
2024
FreeRTOS Developer
Embedded Systems Certification
2024
AI Training Program
SDAIA — Saudi Data & AI Authority
2024
AI Training Program
KAUST — King Abdullah University
2024
06 · Initiate Contact
Available Immediately· Senior ML, CV & Technical Lead roles · Global & KSA

LET'S BUILD

SOMETHING

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