LAWRENCE OKEGBEMI

Architected and deployed sophisticated agentic workflows using LangChain and LangGraph, leveraging open-source LLM frameworks to enhance financial service operations.

Automated critical data sourcing processes and developed robust real-time data processing pipelines, ensuring high data availability and integrity for AI applications.

Developed and implemented real-time fraud detection algorithms, effectively mitigating fraudulent activities and enhancing platform security.

Utilized advanced statistical methods and analytical models to identify key customer value drivers, informing strategies that reduced churn and improved retention.

Led a team of software engineers and data scientists in the end-to-end development of B2B SaaS applications.

Engineered and maintained a high-performance, end-to-end streaming ETL pipeline using Apache Spark, Kafka, and Druid, processing large volumes of unstructured data from diverse sources.

Architected core business logic and standardized design patterns, improving code quality, scalability, and development efficiency across engineering teams.

Managed the complete machine learning model lifecycle, implementing state-of-the-art MLOps tools to ensure reliable model deployment and performance.

Automated radio transmission listening and audio transcription using Python scripts, streamlining data ingestion for critical NLP tasks.

Designed and maintained scalable backend services and APIs with Python (FastAPI) to support data-intensive applications, ensuring high performance and reliability.

Automated data collection processes from valuable sources using Python and Celery, ensuring reliable data input for machine learning models.

Developed and maintained robust end-to-end ETL pipelines across multiple cloud instances, optimizing data flow for ML model training and inference.

Engineered high-performance ML APIs with FastAPI, significantly improving product performance and driving increased customer engagement.

Managed the full lifecycle of machine learning models, from development to deployment and maintenance, ensuring continuous optimization and impact.

Planned and integrated Mixpanel into a mobile application, enhancing product performance and user engagement through improved analytics.

Validated and processed over 5,000 daily data points collected via crowdsourcing from diverse Nigerian locations, ensuring data quality for analysis.

Extracted actionable insights from extensive datasets using SQL, Python, and Business Intelligence tools, directly informing strategic decisions for stakeholders.