Caroline Maina

About

AI Automation and AI Solutions Developer with hands-on experience building practical AI-powered applications using Python, Generative AI, APIs, databases, and Streamlit. Focused on end-to-end workflows, retrieval-augmented generation, and automation solutions for recruitment, productivity, CRM, and customer inquiry use cases.

Experience

• AI Automation Specialist
  Company
  Oct 2025 – Present

Education

• Bachelor of Arts in Gender and Development
  Kenyatta University
  Gender and Development · 2021 – 2024

Skills

• Python <3 months
• Prompt Engineering <3 months
• Streamlit <3 months
• JSON <3 months
• API Integration Understanding <3 months
• Workflow Automation <3 months
• Application Development <3 months
• Large Language Models <3 months
• Vector Search <3 months
• Data Processing <3 months
• AI workflow design <3 months
• Embeddings <3 months
• Database Integration <3 months
• Faiss <3 months
• Google Sheets Api <3 months
• APIs and integrations <3 months
• Retrieval Augmentation Generation <3 months
• Generative AI (ChatGPT, Copilot, Gemini) <3 months

Tools / apps / platforms

• Git <3 months
• GitHub <3 months
• Google Cloud Platform <3 months
• PostgreSQL <3 months
• Supabase <3 months

Projects

• AI Resume Screener
  Python, Gemini AI, Streamlit, PyPDF, Google GenAI

  Built and deployed an AI-powered recruitment application that analyzes resumes against job descriptions, extracts text from PDF resumes, evaluates candidate information, and generates structured insights including strengths, weaknesses, and match scores.

• AI Meeting Summarizer
  Python, Gemini AI, Streamlit, Google Sheets API, Google Cloud

  Built an AI application that converts meeting notes and transcripts into structured summaries, decisions, and action items, with Google Sheets integration and downloadable results.

• AI Sales CRM Assistant
  Python, Gemini AI, Streamlit, Supabase, PostgreSQL

  Built an AI-powered CRM workflow for capturing, storing, qualifying, and prioritizing sales leads with database-backed storage and AI-assisted lead prioritization.

• AI Research & Knowledge Agent
  Python, RAG, FAISS, Embeddings, Gemini AI, Streamlit

  Built a Retrieval-Augmented Generation application for document-grounded question answering using embeddings and FAISS vector search.

• AI Customer Inquiry & Lead Prioritization Automation
  Google Forms, Make, Gemini AI, Google Sheets, Workflow Automation, Prompt Engineering

  Built an AI-powered workflow that captures customer inquiries, classifies them, assigns priorities and lead scores, and records structured data in Google Sheets.