💻 Full-Stack Developer | 🤖 AI/ML Engineer | 👁️ Computer Vision Enthusiast
I'm a final-year CS student building AI-powered applications and full-stack systems, with a growing focus on computer vision, retrieval-augmented systems, and multimodal learning. I like taking ML concepts from theory to working, deployable projects that solve real problems.
- 🔭 Currently building: retrieval-augmented vision-language pipelines for medical image understanding
- 🌱 Currently learning: PyTorch internals, deep learning optimization, agentic AI systems
- 📄 Independent research: LSTM/NLP work, DOI-archived on Zenodo (link below)
- 💬 Ask me about: computer vision, full-stack architecture, or my current RAG/VLM project
Languages
AI / Machine Learning
Full-Stack Development
Tools
🩺 MedInsight — Retrieval-Augmented Medical Image Understanding
Exploratory project applying retrieval augmentation (CLIP embeddings + FAISS) to medical VQA, investigating whether grounding a vision-language model in retrieved evidence improves answer reliability.
PyTorch CLIP FAISS BLIP-2 Medical VQA
👁️ VisionTrack — Real-Time Object Detection & Tracking
Real-time detection, tracking, and counting pipeline built on YOLOv8 and OpenCV, with configurable zones and counting logic.
Python YOLOv8 OpenCV
💼 WorkPulse — Employee Productivity Monitoring Platform
Productivity monitoring platform with activity tracking, OCR-based screenshot analysis, automated reporting via n8n, and a Supabase-backed analytics dashboard.
Python Flask Supabase EasyOCR n8n
🧠 GraphDB Explorer — Natural-Language Graph Querying
Graph database explorer that lets users query and visualize Neo4j graphs using natural language input, translated into structured graph queries.
Neo4j Graph Databases NLP
🔀 DevFlow — Full-Stack Project Management Platform
MERN-stack project management tool with real-time updates (Socket.io), API documentation (Swagger), automated testing (Jest), and Docker-based deployment.
MongoDB Express React Node.js Docker Socket.io
📱 GameHub — Android Mini-Games Platform
Android app hosting 7 interactive mini-games, built with an MVVM architecture and Firebase backend.
Kotlin Firebase MVVM
🔗 Replace the
#links above with each project's actual GitHub repo URL.
- LSTM/NLP Research — Independent research project, DOI-archived on Zenodo: zenodo.org/records/21265208
🌐 Portfolio | 💼 LinkedIn | 📧 maryamzaheer2006@gmail.com
Building practical software systems with AI, one project at a time.