Mariam Maysara

Mariam Maysara

About

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AI Engineer | LangGraph · RAG · Multimodal AI | Building Production LLM Systems | FastAPI + Next.js.
Cairo Governorate, Egypt
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Full-time jobs
Starting at USD20/hour
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Timeline

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Résumé

Jobs verified_user 0% verified
  • Beetleware
    AI Engineer Intern
    Beetleware
    Aug 2025 - Oct 2025 (3 months)
  • AOI Training Academy
    HCIA - AI intern
    AOI Training Academy
    Aug 2024
  • Z
    Machine Learning Engineer
    Zewail City of Science Technology and Innovation
    Aug 2023 - Jan 2026 (2 years 6 months)
Education verified_user 0% verified
  • King Salman International University
    King Salman International University
    King Salman International University
    Jan 2021 - Dec 2025 (5 years)
Projects (professional or personal) verified_user 0% verified
  • R
    RIAM – AI Customer Support Platform
    Apr 2026 - Current (3 months)
    Built a production-grade multi-tenant AI customer support platform powered by FastAPI, Next.js, LangGraph, and pgvector. Developed semantic RAG pipelines for PDF and website knowledge ingestion, real-time streaming chat, intelligent human handoff workflows, tenant-isolated vector stores, and embeddable support widgets. Designed for scalable AI-driven customer support with analytics, observability, and enterprise-grade architecture.
  • F
    FinGemma — Fine-tuning Gemma-3 for Financial Sentiment
    Mar 2026
    Fine-tuned Gemma-3-1b on financial news sentiment using QLoRA (4-bit quantization) — reducing VRAM by ~70% while maintaining accuracy across 4,800+ samples.
  • V
    Veonix
    Nov 2025
    Veonix is a high-performance Full-Stack AI application designed to revolutionize nutrition tracking. By leveraging Gemini 3.0 Flash, the app analyzes food images to provide instant caloric and macronutrient breakdowns. Key Achievements: • Engineered a responsive frontend using Next.js 15 and Tailwind CSS. • Developed a robust asynchronous backend with FastAPI and SQLAlchemy. • Optimized AI inference by integrating cutting-edge Vision-Language Models. • Containerized with Docker and deployed on Render for a seamless production environment. Check it out live: https://veonix-u8yw.onrender.com GitHub: https://github.com/mariiammaysara/Veonix
  • King Salman International University
    Farmer Eye Robotic Car Graduation project
    King Salman International University
    Aug 2025 - Jun 2026 (11 months)
    Graduation project "Smart Vehicle for Crops Health Detection and Classification Using AI-powered and IoT (Farmer Eye Robotic Car)" at the College of Computer Science and Engineering, specializing in Artificial Intelligence. This project addresses a real-world challenge in agriculture: detecting crop diseases early and providing farmers with real-time insights to take action. Traditional methods are time-consuming, inaccurate, and often lead to loss of productivity. Our solution integrates robotics, AI, mobile development, and IoT to automate and enhance the monitoring of crop health. Our system includes the following key components: A smart robotic car that autonomously moves across fields, collecting environmental data (temperature, humidi