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maida-maryam06/README.md

Hi there, I'm Maida Maryam 👋

AI/ML Engineer • NLP & AI Security Enthusiast • CS Graduate

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🚀 About Me

  • 🎓 Computer Science graduate from Bahria University, Lahore (2022 – 2026)
  • 💻 Currently a Python Development Intern at Enischyo, building real-world Python projects — an OOP-based Library Management System, a multi-source job web scraper, a JWT-secured Flask REST API, and a full-stack app with PostgreSQL
  • 🛡️ Designed and built SecureFL, a full-stack federated learning defense framework with real-time adversarial-attack monitoring
  • 🧠 Background in ML/DL model deployment, NLP with BERT & Hugging Face, and safety-filtered LLM chatbots
  • 📊 Comfortable across the data pipeline — cleaning, EDA, and visualization with Pandas, Matplotlib, and Seaborn
  • 🌱 Actively looking for entry-level roles in AI/ML Engineering or Data Science
  • 📍 Based in Lahore, Pakistan
  • ⚡ Fun fact: tinkering on the side with a DIY voice-assistant robot powered by a Raspberry Pi Zero 2W

🛠️ Tech Stack

Languages

Python C++ SQL

AI / ML / NLP

Scikit-learn HuggingFace NumPy Pandas

Web & Backend

React TypeScript FastAPI Flask PostgreSQL

Tools, DevOps & Data

Docker Git Linux AWS PowerBI


🌟 Featured Project — SecureFL

A robust federated learning defense framework that detects and mitigates adversarial prompt-based attacks and malicious client updates. Implements multi-layer defenses — cosine similarity, Z-score anomaly detection, and trust-based scoring — to filter poisoned gradients, with a real-time React/TypeScript dashboard tracking trust scores, model accuracy, and Attack Success Rate (ASR).

Tech Stack: Python · Flower · FastAPI · Scikit-learn · React.js · TypeScript · Tailwind CSS · NumPy · Pandas

🔗 https://github.com/maida-maryam06/SecureFL-Federated-Learning-with-Attack-Detection


💼 Experience

Role Company Duration
Python Development Intern Enischyo Jun 2026 – Jul 2026
AI/ML Engineer Intern DevelopersHub Corporation Feb 2026 – Mar 2026
AI Automation Intern Ignitto Jan 2026 – Feb 2026

📊 GitHub Stats


🤝 Connect With Me

LinkedIn Gmail GitHub


Thanks for stopping by — always happy to connect on AI, ML, or federated learning!

Pinned Loading

  1. Real-Time-Twitter-Sentiment-Analysis-using-Machine-Learning Real-Time-Twitter-Sentiment-Analysis-using-Machine-Learning Public

    Real-time Twitter Sentiment and Personality Analysis system using Python, NLP and Machine Learning. Tweets are fetched dynamically via Twitter API, analyzed for sentiment and converted into star-ba…

    Jupyter Notebook 2

  2. smart-excuse-ai smart-excuse-ai Public

    Smart Excuse AI — an NLP-powered web app that generates believable academic excuses using machine learning, context-aware generation, realism scoring, and explainable AI.

    Python 3

  3. SecureFL-Federated-Learning-with-Attack-Detection SecureFL-Federated-Learning-with-Attack-Detection Public

    Secure Federated Learning system with Byzantine attack detection, trust scoring, and real-time SOC dashboard. Built with Flower (flwr), PyTorch, FastAPI, and Next.js. Final Year Project — Bahria Un…

    Python 4

  4. library-management-system-python library-management-system-python Public

    Object-oriented Library Management System in Python — books, basic/premium members via inheritance, borrowing & overdue fines, custom exception handling, JSON persistence, CLI, and 10 unit tests.

    Python 1

  5. smart-city-traffic-analytics smart-city-traffic-analytics Public

    Real-time smart city traffic analytics platform with live congestion detection, MongoDB + MySQL backend, Kafka streaming, and an interactive ops dashboard. Fully containerized with Docker Compose —…

    HTML 1