Learning

The things I am improving while building real products.

This page keeps the portfolio alive beyond finished projects: courses, client-driven research, product architecture notes, and technical areas I am actively practicing.

Associate Data Scientist in Python

In progress

Continuing the DataCamp track to strengthen statistics, modeling, and Python data workflows.

Python

Pandas

Statistics

Machine Learning

Production RAG and Vector Search

Active practice

Learning by building client systems with Pinecone, legal/document retrieval, embeddings, and grounded Q&A.

Pinecone

Embeddings

Retrieval

Evaluation

AI Audio and Session Intelligence

Client-driven learning

Exploring live audio, speaker mapping, transcript pipelines, and AI summaries for long sessions.

Deepgram

Realtime APIs

Transcripts

Summaries

Better SaaS Architecture

Ongoing

Refining how I structure Next.js, Supabase, background jobs, dashboards, and deployment boundaries.

Next.js

Supabase

Async jobs

Vercel