I design and build end-to-end intelligent systems, focusing on Retrieval-Augmented Generation (RAG), automated workflows, and data-driven predictive models. I bridge the gap between complex datasets and production-ready applications.
| Category | Technologies & Tools |
|---|---|
| Languages | Python, SQL, JavaScript |
| AI & LLM Ops | LangChain, LlamaIndex, OpenAI API, Hugging Face, Vector Databases (Chroma/FAISS) |
| Data & Analytics | Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn |
| Tools & Platforms | Git, GitHub Actions, Jupyter Notebooks, Google Colab |
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Local-DocuBrain-RAG-Engine
An enterprise-grade, local Retrieval-Augmented Generation pipeline built to ingest, chunk, embed, and query document ecosystems securely with zero external data leaks. -
Ollama-Job-Application-Assistant
An interactive, offline LLM command-line application that analyzes personal CV metrics against targeted job description payloads to automate ATS keyword optimization. -
British Airways Booking Analysis
A predictive machine learning model using exploratory data analysis (EDA) and ensemble tree methods to accurately forecast customer booking conversions.
- LinkedIn: (https://www.linkedin.com/in/apurv-renake/)
- Location: India 📍