Faith W.

Key Skills

Software

Data Annotation Tech

Micro1

Mercor

OneForma

Toloka

AWS SageMaker

Top Subject Matter

Health care

finance

e-commerce

Top Data Types

Image

Video

Computer Code Programming

Text

Top Task Types

Segmentation

Classification

Point/Key Point

Text Generation

Transcription

Computer Programming/Coding

Freelancer Overview

AI Engineer & Software Developer (Safaricom PLC). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Rasa and AWS SageMaker. Education includes Bachelor of Science, California Institute of Applied Technology (2022). AI-training focus includes data types such as Text and labeling workflows including Text Generation and Classification.

Labeling Experience

ai engineer

Computer Code ProgrammingTranscription

egocentric -commercial environment task performed capture egocentric footage while working

2026 - 2026

AI Engineer & Software Developer - Safaricom

AWS SageMakerTextClassification

Served as an AI Engineer and Software Developer architecting and deploying production machine learning and NLP services. Built multilingual chatbot and real-time fraud detection capabilities while designing scalable data pipelines and microservices. Managed MLOps workflows including CI/CD, model monitoring, and automated retraining in AWS-based environments. • Architected and deployed an ensemble ML fraud detection pipeline achieving 97% precision • Built multilingual English/Swahili NLP chatbots using Rasa and GPT-based intent classification • Engineered high-throughput streaming data pipelines with Kafka and Spark for low-latency processing • Developed REST APIs and microservices with FastAPI and Node.js and implemented CI/CD on AWS EKS

2022 - 2024

AI Engineer & Software Developer (Safaricom PLC)

TextText Generation

Built and deployed multilingual NLP intent classification and chatbot workflows using Rasa and GPT-based components for customer support interactions across English and Swahili. Integrated entity extraction and context-aware dialogue management to support 500K+ monthly conversations via USSD and WhatsApp channels. Monitored production performance and maintained model outputs over time while supporting retraining triggers when drift occurred. • Created datasets/inputs for multilingual chatbot training and intent classification pipelines. • Implemented NER-style entity extraction and dialogue context handling for downstream responses. • Operationalized chatbot services with CI/CD for frequent model and service updates. • Improved call-centre volume by 20% through better automated handling of user requests.

2022 - 2024

Education

Work History