🚀 Aspiring Software Engineer | AI & NLP Enthusiast | Full-Stack Developer
📍 Penn State University | Computer Science Major & Mathematics Minor
💡 Passionate about AI-driven solutions, NLP, full-stack development, and impactful technology for social good.

• 💡 I love building AI-powered applications that drive social impact, financial literacy, and automation.
• 💻 Experienced in Software Development, Full-Stack Engineering, AI/ML, and NLP Chatbot Systems.
• 🚀 Former Nittany AI Alliance Team Lead | Led SmartOCR, an AI-driven document processing system.
• 📈 Passionate about fintech, sustainability, and generative AI applications.
• 🌎 International student, adventurous problem solver, and lifelong learner!

💰 AI-driven personal finance chatbot that provides budgeting insights, emotion-aware financial guidance, and gamified savings tracking.

🔹 Tech Stack: Next.js, React, Node.js, Firebase, OpenAI GPT-4, Plaid API, Financial Modeling Prep API
🔹 Key Features:
✅ Conversational AI Chatbot for financial coaching
✅ Bank Transaction Insights with AI-powered categorization
✅ Goal Tracking with Gamification (interactive financial habits formation)
✅ Emotion Detection & Sentiment Analysis for Personalized Advice

💡 An AI-powered chatbot that retrieves and interprets information from machine manuals to assist TE Connectivity's engineers with maintenance, troubleshooting, and analysis.

🔹 Tech Stack: GPT-4-mini, Llama/DeepSeek (TBD), HTML, CSS, JavaScript, Python Django, MongoDB (Transitioning to Local Storage), LangChain, RAG, ChromaDB
🔹 Key Features:
✅ Conversational AI Chatbot for instant search within machine manuals
✅ RAG-powered document search for precise retrieval
✅ Vectorized manual embeddings for rapid lookup
✅ Real-time AI-powered troubleshooting assistance
✅ Scalable & Secure Storage using Local Storage and ChromaDB

📄 LLM-driven transcript processing system that automates text extraction, structuring, and error handling for university admissions.

🔹 Tech Stack: GPT-4, Litestar, SQLAlchemy, MySQL, Vue 3, Azure, Docker
🔹 Key Features:
✅ OCR + AI Model for extracting structured data from transcripts
✅ Database-driven pipeline for efficient transcript processing
✅ Error-handling pipelines and User Dashboard for displaying statistics

🌍 NGO initiative that provides free medical services via AI-powered virtual consultations.

🔹 Tech Stack: AWS S3, React.js, Node.js, MySQL, Socket.io, Postman
🔹 Key Features:
✅ Free Video Calls between doctors and patients
✅ Global Appointment Accessibility with enabling language and timezone options ✅ Cloud-based patient files management

• Languages: Python, JavaScript, TypeScript, C, Java, SQL, R, MATLAB
• AI/ML: OpenAI GPT, LangChain, NLP, TensorFlow, PyTorch, scikit-learn, RAG, Llama
• Full-Stack: Next.js, React.js, Node.js, Express.js, Django, Firebase, SQLAlchemy

• Cloud & Containers: AWS (S3, EC2), Azure, Docker
• Databases: MySQL, MongoDB, Firebase Firestore
• Version Control & CI/CD: Git, GitHub, GitHub Actions

💼 Let's connect and build something great!
🔗 LinkedIn: linkedin.com/in/elena-choi
🌐 Portfolio Website: [TBD]
📫 Email: [email protected]
📝 Blog: [TBD]

⚡ Always looking for exciting collaborations in AI, software, and full-stack engineering!