Designed and deployed AI-powered chatbots and virtual agents using LangChain, OpenAI GPT-4 API, and Pinecone, improving customer engagement and automation efficiency for clients in multiple industries.

Built retrieval-augmented generation (RAG) systems enabling chatbots to answer domain-specific queries with 90%+ accuracy.

Developed custom NLP pipelines using spaCy and Hugging Face Transformers for intent recognition, summarization, and sentiment analysis.

Integrated AI services with FastAPI backends and React/Flutter frontends, ensuring full-stack scalability and seamless UX.

Delivered 3+ successful AI projects

Spearheaded the development of AI-driven candidate matching tools using TensorFlow Lite and OpenAI Embeddings, improving placement accuracy by 35%.

Built recruitment automation pipelines that reduced candidate screening time by 70%, using Python LLM agents and FastAPI microservices.

Integrated Flutter-based dashboards and React frontends with real-time analytics and API services.

Mentored junior developers on AI-assisted code generation and automation strategies.

Designed and maintained high-performance eCommerce platforms, handling 10K+ daily API requests using FastAPI and PostgreSQL.

Integrated M-Pesa APIs and custom payment gateways, increasing transaction reliability and reducing payment errors by 25%.

Introduced AI-based product recommendations and personalized search using scikit-learn and semantic embeddings.

Led full-stack feature delivery across Python, React, and Flutter, optimizing CI/CD pipelines and backend scalability.

Built scalable transport booking and scheduling systems using Python (Flask) and React, serving thousands of active daily users.

Developed RESTful APIs with Postman and Git CI/CD pipelines, ensuring 99.9% uptime.

Collaborated on data-driven route optimization projects, leveraging machine learning models to improve fleet efficiency by 18%.