With 4 years experience Machine Learning, I build production-grade AI features that are context-aware, cost-efficient, and mathematically sound.
Whether you need a RAG (Retrieval-Augmented Generation) system to talk to your private data or an autonomous agent that executes code, I bridge the gap between complex AI models and your existing Node.js or Python backend.
What I Bring to the Table:
- Custom RAG Pipelines: I connect your PDFs, SQL databases, or Notion pages to an LLM using Vector Databases (Pinecone, Weaviate, or Milvus).
- Fine-Tuning & Prompt Engineering: I optimize models for specific niches, ensuring high accuracy and reduced "hallucinations."
- Cost Optimization: Using my Math background, I analyze your token usage to implement caching and efficient prompt chunkingsaving you up to 30% on API costs.
- Full-Stack Integration: Seamlessly connecting the AI to your React/Vue frontend and Nest.js/Django backend.
- Security First: Leveraging my CISCO Networking background to ensure your data remains private and your API endpoints are hardened.
Tech Stack:
- Languages: Python (Django/Flask/FastAPI), Node.js (Nest.js/Express), TypeScript.
- AI Frameworks: LangChain, LlamaIndex, OpenAI