I am an AI Developer and Python Specialist with a strong background in Computer Engineering. I specialize in building robust applications using Large Language Models (LLMs), focusing on efficient, scalable solutions for data processing and intelligent automation. Core Competencies: - AI & ML: Developing custom models and RAG applications using PyTorch, LangChain, and Deep Learning or Machine Learning techniques. - Data Engineering: Designing pipelines for data scraping, cleaning, and visualization (Pandas, NumPy). - Software Development: Delivering clean, maintainable Python code for backend logic and automation. I am available for immediate contract work. If you are looking for a reliable developer to handle complex data tasks or build AI-driven features, please contact me to discuss your requirements.…

Damola Adams

I am an AI Developer and Python Specialist with a strong background in Computer Engineering. I specialize in building robust applications using Large Language Models (LLMs), focusing on efficient, scalable solutions for data processing and intelligent automation. Core Competencies: - AI & ML: Developing custom models and RAG applications using PyTorch, LangChain, and Deep Learning or Machine Learning techniques. - Data Engineering: Designing pipelines for data scraping, cleaning, and visualization (Pandas, NumPy). - Software Development: Delivering clean, maintainable Python code for backend logic and automation. I am available for immediate contract work. If you are looking for a reliable developer to handle complex data tasks or build AI-driven features, please contact me to discuss your requirements.…

Available to hire

I am an AI Developer and Python Specialist with a strong background in Computer Engineering. I specialize in building robust applications using Large Language Models (LLMs), focusing on efficient, scalable solutions for data processing and intelligent automation.

Core Competencies:

  • AI & ML: Developing custom models and RAG applications using PyTorch, LangChain, and Deep Learning or Machine Learning techniques.

  • Data Engineering: Designing pipelines for data scraping, cleaning, and visualization (Pandas, NumPy).

  • Software Development: Delivering clean, maintainable Python code for backend logic and automation.

I am available for immediate contract work. If you are looking for a reliable developer to handle complex data tasks or build AI-driven features, please contact me to discuss your requirements.

See more

Language

English
Fluent

Work Experience

Machine Learning Engineer at Plethudeep Hub
August 5, 2024 - October 31, 2024
Developed and deployed Machine Learning models to automate decision-making workflows and streamline high-volume operations. I implemented supervised learning algorithms to optimize resource allocation while performing rigorous feature engineering to ensure model reliability. Beyond development, I collaborated with cross-functional teams to translate complex technical insights into actionable business strategies for non-technical stakeholders

Education

Bachelor of Science at Obafemi Awolowo University
February 9, 2021 - July 31, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services, Computers & Electronics
    paper Automated Review Analysis

    Automated AI Review Analysis Pipeline

    Project Overview

    This project simulates a real-world enterprise solution for automating customer feedback analysis. I built an end-to-end ETL (Extract, Transform, Load) pipeline that ingests raw e-commerce reviews, processes them using Python, and enriches the data with Large Language Models (LLMs) to provide actionable business insights.

    Instead of manually reading thousands of reviews, this tool automatically flags urgent issues, summarizes customer sentiment, and visualizes trends—demonstrating how AI can scale operational efficiency.

    Tech Stack & Tools

    • Language: Python 3.10+
    • AI & LLMs: Groq API (High-speed inference), Prompt Engineering
    • Data Engineering: Pandas, NumPy, ETL Pipeline Architecture
    • Integration: Google Sheets API (gspread) for real-time reporting
    • Testing: Pytest (100% Code Coverage)

    Key Features & Contributions

    • Automated ETL Workflow: Designed a robust pipeline that extracts raw CSV data, cleans it, and uploads it to a secure Google Sheets backend.
    • AI-Powered Enrichment: Integrated Groq API to generate three key insights for every review:
      • Sentiment Analysis: Auto-classifies feedback as Positive, Neutral, or Negative.
      • Concise Summaries: Condenses long reviews into quick-read bullet points.
      • Action Flags: Automatically detects reviews requiring immediate support intervention (“Action Needed?”).
    • Statistical Reporting: Built an analytics module that calculates sentiment distribution by product category and generates visual reports (bar charts) to track performance.
    • Test-Driven Development (TDD): Implemented a comprehensive suite of automated unit tests using Pytest to ensure pipeline stability and data integrity.

    Project Outcomes

    • Reduced time-to-insight for customer feedback analysis.
    • Eliminated manual data entry errors through automated cleaning scripts.
    • Delivered a scalable architecture capable of handling high volumes of unstructured text data.

    Check out the project here: https://www.twine.net/signin