Performance Optimization System - Full-stack app using React/TypeScript, FastAPI, PostgreSQL, and PyTorch. Doubles as my final project for two classes (database management + neural networks).

ASL Translation System - Real-time sign language recognition using computer vision. Trained on 78,000+ images with MediaPipe and PyTorch. Built this because accessibility tech is cool and challenging.

Deepfake Detection - CNN-based detector that tells you if a face is real or AI-generated. 96.73% precision on 391K images using EfficientNet.

RFP Automation Prototypes - Current internship work at Gatestone. Building AI tools for enterprise document processing using RAG, vector embeddings, and LLMs (OpenAI/Claude APIs).

Call Analysis Tool - NLP system that analyzes customer service calls using Deepgram API. Automated scoring for agent performance.

AI/ML stuff: PyTorch, TensorFlow, scikit-learn, OpenCV, MediaPipe, Hugging Face, RAG systems

Languages: These are presented in "most comfortable" order : Python, C++, SQL, JavaScript/TypeScript, Java C, Ruby

Web/Backend: React, FastAPI, Flask, Qt, PostgreSQL, Docker

Cloud: AWS, OpenAI API, Claude API, Deepgram API

Currently aiming for Summer 2026 internships in ML/AI engineering or New Grad positions for 2027.

Looking to chat about AI research, startup ideas, or good projects to work on.

LinkedIn | Email: [assia8632@gmail.com]