💻 AI & Data Science @ Illinois Tech | 📊 Building end-to-end ML systems
I'm a senior studying Artificial Intelligence at Illinois Institute of Technology. I work across the stack — building explainable ML pipelines, agentic AI tools, and data-driven apps with practical use cases. My projects span RAG chatbots, trust-scoring systems, streamlit apps, and real-time analytics.
- 🔬 Areas: RAG, NLP, Agentic AI, ML Explainability
- 🧠 Stack: Python, Streamlit, LangChain, HuggingFace, FAISS, FastAPI, SQL, MongoDB
- 🔄 Dev Tools: Git, Docker, Power BI, Pydantic, CI/CD, .env Secrets
- 🛠️ Also used: Java, Gradio, Phidata, LangGraph, Voice Tools (gTTS, ElevenLabs)
- 82 Below → Geospatial lead risk analysis
- JobExtractX → Transformer-based job info extraction
- MedicQuery & MedicQuery Pro → PDF + Voice AI doctor bots (RAG + Whisper + Vision)
- AI Knowledge Auditor → Real-time hallucination detector for AI model outputs
- Financial AI Agents → Modular advisor system using Phidata and LLMs
- Laptop Price Predictor → Streamlit regression app for spec-based pricing
- Chicago Restaurant Inspector → ML + mapping for 293K food safety checks
ML/NLP: FLAN-T5, Mistral, Transformers, FAISS, PyTorch, Scikit-learn, RNNs, GARCH, Time Series
Data & APIs: Pandas, NumPy, MongoDB, MySQL, FastAPI, Tavily, TMDb, YFinance, DeepSeek
Frameworks: LangChain, Streamlit, LangGraph, Phidata, Gradio
Tooling: Power BI, Pydantic, Uvicorn, Docker, CI/CD, Git, .env, Plotly, GeoPandas
Voice/Vision: Whisper, ElevenLabs, gTTS, PyMuPDF, Image QA
🤖 AI is the future, and that future is now.