Mazen Ayman

AI Engineer — building agents that actually work.

About

I build AI agents that work. From autonomous trading bots to voice assistants and sports analytics platforms — I turn LLMs into production systems.

Based in Egypt, currently building production-grade agentic AI systems at 187N.ai. Previously shipped autonomous trading bots, voice-AI agents, and ML infrastructure for PhD researchers at UniMind. Open to interesting problems at the edge of AI engineering.

Projects

PaperAI

Lightweight toolkit for extracting, processing, and summarizing academic papers (PDFs) using Python and large language models.

BadNet

BadNet Backdoor attack on Deep Neural Networks

Physical-Backdoor-Attack-Defense-

Physical Backdoor Attack & Defense on Face Recognition

Skills

Languages

PythonRSQLC++Bash

AI & ML

PyTorchTensorFlowKerasTransformersScikit-learnXGBoostOpenCVSciPy

Agentic & LLM

LangChainLangGraphn8nOllamaClaude Code

Data & Visualization

PandasNumPyMatplotlibTableauPower BI

Infrastructure & Tools

FastAPIDockerKubernetesStreamlitGitLinux/WSLSQL Server

Experience

View Resume
  1. AI Engineer

    187N.ai · Remote · Full-time

    • Design and engineer advanced, production-grade agentic systems and multi-agent topologies to automate complex corporate workflows.
    • Build scalable, customized AI flows using local LLMs and orchestration layers, empowering businesses to maximize efficiency and scale operations seamlessly.
  2. AI Engineer

    Freelance · Remote · Freelance

    • Voice AI Agents: Deployed interactive, low-latency AI voice agents using LangGraph and FastAPI to automate customer-facing workflows such as restaurant reservations and order processing.
    • Automated Financial Trading Agent: Developed an autonomous AI trading bot executing via Binance API, integrated with a real-time financial dashboard tracking Gold, USD, and EGP rates.
    • Oil & Gas AI Assistant: Built a predictive dashboard and chat assistant to automate AFE calculations, process invoices, and forecast project timelines using historical industrial data.
  3. Artificial Intelligence Engineer

    UniMind · Remote · Full-time

    • Engineered and optimized complex ML architectures, translating advanced theoretical models into scalable Python and PyTorch codebases for PhD researchers.
    • Infrastructure Optimization: Developed a Reinforcement Learning framework to optimize VM and data migration across multi-cluster Kubernetes environments, reducing operational costs.
    • Explainable AI & Security: Implemented XAI pipelines using SHAP for multivariate time-series models (LSTM, Transformers), and built multi-clustering defense frameworks against adversarial DDoS attacks.
  4. B.Sc. in Artificial Intelligence Engineering

    Mansoura University · Mansoura, Egypt

    3.78 / 4.0 — Highest Honors

Partners & Clients

TODO: Partner / Client

Add your partners/clients in src/data/partners.json.

Writing

All posts

Get In Touch

Whether you have a project in mind, want to collaborate, or just want to say hi — my inbox is always open.

mazenynwa@gmail.com