Open to opportunities

Lolen Mwangi

@lolenmwangi

Aspiring software engineer and AI enthusiast with a strong foundation in Python.

I am a recent Computer Science graduate from Maasai Mara University with a growing interest in Artificial Intelligence, Natural Language Processing, and automation. Skilled in Python, Pandas, NumPy, and Scikit-learn, I’ve built projects such as resume analyzers and small automation tools. I also have experience working with APIs (Flask/FastAPI) and GitHub for collaborative development.

I am eager to contribute to AI-driven recruitment, data science, and automation projects while learning from diverse teams. My career goal is to specialize in building scalable AI solutions that improve fairness and efficiency in hiring and decision-making.

Experience

Work history, roles, and key accomplishments

Current

Freelance Full-Stack Developer

Current

Self-Employed

Jan 2023 - Present (2 years 8 months)

Designed and delivered 8+ custom web solutions (e-commerce, marketplaces, dashboards); implemented a Laravel multi-vendor marketplace supporting 100+ sellers and 2,000+ products, driving a 200% sales increase within 3 months and generating $3,000+ revenue with 100% client satisfaction.

Ecommerce PHP Laravel JavaScript React Docker MySQL E commerce APIs

Current

Freelance Full-Stack Developer

Current

Self-Employed

Jan 2023 - Present (2 years 8 months)

Designed and delivered 8+ custom web solutions including a PHP/Laravel multi-vendor marketplace supporting 100+ sellers and 2,000+ products, driving a 200% sales increase for the client within 3 months and generating $3,000+ revenue.

Fullstack Development PHP Laravel Full Stack Development E commerce MySQL Docker REST APIs Marketplace Architecture Deployment Client Management Ecommerce

AI Intern -Machine Learning & Automation

Virtual Internships

Jan 2025 - May 2025 (4 months)

Contributed to the development of Smart Seed, an AI-powered crop recommendation system for small-scale farmers. Built and deployed ML models (XGBoost, Random Forest) to predict optimal crops using soil, weather, and location data. Integrated external APIs (OpenWeather, Mateo) into a Flask backend. Deployed app to Netlify with an admin dashboard for model updates and prediction tracking.

Python SQL AWS

Research Assistant

Maasai Mara University

Sep 2022 - May 2023 (8 months)

Researched machine learning applications in agriculture and developed data collection pipelines and Python analysis tools to support field studies.

Python Machine Learning Data Collection Data Analysis Pandas NumPy Research Experiment Design

Research Assistant

Maasai Mara University

Sep 2022 - May 2023 (8 months)

Researched machine learning applications in agriculture and developed data collection pipelines and analysis tools in Python for the Computer Science department.