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Available for new opportunities

Hi, I'm Mustafa Damisi

Professional AI Engineer & Machine Learning Architect

(+962) 0795108391 Adan st. 24, Amman, Jordan Born: 23/07/1998Jordanian Citizen (ID: 9981035732)
Mustafa Damisi

About Me

I am a dedicated systems engineer operating at the intersection of Machine Learning, Advanced Automation, and Distributed AI. My passion is the development of robust and scalable Multi-Agent Systems (MAS) that mimic and surpass human decision-making for complex enterprise challenges. With comprehensive training in AI and hands-on experience in Python, CNNs, RNNs, and LLMs, I am responsible for building backend API integrations and maintaining core agent logic. I also bring growing expertise as a full-stack developer, enabling me to build end-to-end intelligent web ecosystems.

Experience

Devorise AI

Junior AI Systems Engineer

Jan 2026 - Present

Agentic Systems Engineer (ML Focus)

Dec 2025 - Jan 2026

Internship Trainee

Dec 2025 | Amman, Jordan

Education & Training

AI and Machine Learning

Pioneers Academy - Amman, Jordan

Oct 2024 - Dec 2025 Jordan

Information and Communication Technologies: Software and applications development and analysis. EQF level 5.

Artificial Intelligence & Machine Learning

Deep Learning & Neural Networks
Deep Learning & Neural Networks

Proficient in designing and training complex models (CNNs, RNNs) using PyTorch and TensorFlow. Deep understanding of modern deep learning workflows.

Computer Vision
Computer Vision

Expert in real-time object detection (YOLOv8/v10), image segmentation, and automated visual inspection systems.

Natural Language Processing
Natural Language Processing

Experience with Large Language Models (LLMs), RAG, huggingface transformers, and building intelligent conversational agents.

Data Science
Data Science

Advanced statistical analysis, data collection, processing, visualization, predictive modeling, and data engineering pipelines.

Featured AI & Engineering Work

Twitter Sentiment Analysis (Hybrid BiLSTM-GRU)

A Natural Language Processing project that analyzes tweets and classifies them into Positive, Negative, Neutral, and Irrelevant. Achieved ~87% accuracy. Deployed with Streamlit.

NLPBiLSTMGRUStreamlit
DeepVision Automation

Developed a real-time automation bot using YOLOv8, leveraging custom-trained weights and HSV-based color space optimization for high-speed object detection.

Computer VisionYOLOv8Automation
LLM Orchestration

Engineered a persistent AI memory engine for conversational agents, implementing sophisticated session management and context preservation in high-traffic environments.

NLPLLMsRAG
AtSpaces Ecosystem

Architected a multi-module administrative platform with specialized vendor management and automated reporting systems.

Full-StackArchitectureWeb

Specialized Tech Stack & Skills

PythonPyTorchTensorFlowKerasOpenCVScikit-learnHuggingFaceNumPyPandasNLTKMatplotlibCNNsRNNsLLMsNestJSFastAPIReactNext.jsSupabasePostgreSQLSQLDockerAWS