I am a Tech Investor and AI Programmer enthusiastically applying generative AI and LLMs to investment management.
- LLM Integration: OpenAI (Tier 4 Developer), Anthropic Claude, Google Gemini
- AI Frameworks: LangChain, LlamaIndex, Microsoft CoPilot
- Vector Databases: Pinecone, Chroma, FAISS
- NLP Libraries: NLTK, SpaCY
- Python: Advanced multi-thread processing, OOP, Jupyter Notebooks
- JavaScript: React, Node.js, Next.js
- Type Validation: Pydantic, Pydantic AI
- Backend Frameworks: Flask, Django, FastAPI
- Frontend: Streamlit, React
- API Development: RESTful APIs, GraphQL
- Databases: SQL, MongoDB
- Cloud Platforms: AWS, Azure
- Data Visualization: Matplotlib, Seaborn, bokeh, d3.js
- Web Scraping: BeautifulSoup, Selenium, Firecrawl.dev
- Version Control: Git, GitHub
- Documentation: Sphinx, MkDocs
- CI/CD: GitHub Actions, Jenkins
AI Project Portfolio
- Tech stack: Python, LangChain, OpenAI, React/Next.js
Investment CoPilot
- Tech stack: Python, LangChain, OpenAI, FastAPI, React, Pinecone vector database
Thoughts on applying LLM/AI to investment management, including case studies
- Tech stack: Python, TensorFlow, MongoDB, AWS
Interactive resume with LLM and vector database - ask anything about my background and work experience!
- Tech stack: Python, LlamaIndex, OpenAI/Anthropic/Google Gemini, React, Next.js
Photos and experiences from my trips around the world - 46 countries, 6 continents.
- Built with Next.js, Python, MapBox and AWS