Open to opportunities

Charity Pendo

@charitypendo

I’m a Microsoft Dynamics 365 Business Central Consultant with experience working across both functional and technical areas.

Kenya

Message

What I'm looking for

I’m looking to lead end-to-end GenAI/ML products—building RAG and fine-tuned LLM solutions with strong MLOps on AWS/Azure, while partnering with cross-functional teams and keeping compliance and responsible AI at the core.

I’m a Microsoft Dynamics 365 Business Central Consultant with experience working across both functional and technical areas. I support businesses with Business Central implementation, configuration, data migration, troubleshooting, reporting, and process improvements.

On the functional side, I work with areas such as finance, purchasing, sales, inventory, warehouse management, item setup, units of measure, posting groups, and general ledger processes. On the technical side, I work with AL development, extensions, custom fields and pages, reports, APIs, and Business Central customizations.

I enjoy solving business process challenges and translating business requirements into practical Business Central solutions. I’m also continuously developing my technical AL skills so I can take on more complex development and integration projects.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Amazon

Jan 2024 - Present (2 years 9 months)

Spearheaded a generative AI platform for automated legal document review using Amazon Bedrock, LangChain, and Pinecone, reducing manual analysis time by 60%. Built document ingestion and scalable RAG infrastructure, and deployed FastAPI/Streamlit inference on Docker, Kubernetes, and AWS Lambda with full-cycle MLOps.

Lang Chain Pinecone Amazon Titan Embeddings fastAPI Docker Kubernetes MLOps RAG

Machine Learning Engineer

Cognizant Technology Solutions

Apr 2021 - Dec 2023 (2 years 8 months)

Architected a generative AI customer support assistant for a top U.S. bank, integrating OpenAI GPT-4 with internal CRM data to improve resolution times by 40%. Developed intent detection with RoBERTa (19% accuracy lift), built an Airflow+SageMaker+MLflow MLOps platform for 12+ models, and mentored junior engineers.

Pinecone RoBERTa Airflow AWS Sagemaker MLFlow SHAP

Machine Learning Engineer

Accenture

Feb 2018 - Mar 2021 (3 years 1 month)

Developed a legal document classification system with BERT for a global law firm, achieving 94% F1 score across multi-label categories. Built contract clause extraction with OCR/Spacy/regex, deployed FastAPI microservices on Azure Kubernetes Service, and implemented drift detection and performance analytics with Databricks and MLflow.

BERT Regex fastAPI Azure Kubernetes Service Databricks MLFlow

ML Engineer / Data Scientist

Infosys

Aug 2015 - Jan 2018 (2 years 5 months)

Built predictive maintenance models for IoT manufacturing clients using LSTM and Random Forest, reducing downtime by 22%. Created anomaly detection pipelines (Isolation Forest, autoencoders) and managed batch/streaming data ingestion with Apache Spark, Kafka, and Snowflake for warehousing and analytics.

Kafka Random Forest Isolation Forest Apache Spark Snowflake Predictive Maintenance Anomaly Detection