OLUMODEJI BOLU

Junior Machine Learning Engineer

Lagos, NG.

About

Highly analytical Junior Machine Learning Engineer with a proven ability to design, build, and deploy robust data pipelines and ML models. Expertise in Python, PyTorch, Scikit-learn, and MLOps practices, delivering scalable and high-performance solutions. Adept at integrating data science with engineering workflows to drive business impact and evidence-based decision-making, as demonstrated through contributions to macroeconomic analysis and advanced AI projects.

Work

Lagos Bureau of Statistics

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Statistician (NYSC)

Summary

Supported critical data analysis and reporting for state-level macroeconomic indicators, contributing to evidence-based policy formulation.

Highlights

Contributed to the accurate quarterly GDP computation for Lagos State by meticulously collecting, validating, and analyzing macroeconomic data.

Ensured data integrity and reliability across extensive datasets through rigorous cleaning and consistency checks, improving data quality.

Analyzed and interpreted complex socioeconomic data trends utilizing Excel, R, and Python, providing actionable insights for stakeholders.

Facilitated the Annual State Health Account Survey by managing field data and conducting preliminary analytical assessments.

Translated complex statistical findings into clear, actionable insights for non-technical stakeholders, fostering evidence-based decision-making.

Education

University of Ilorin

B.Sc. Statistics Grade: Second Class Upper Division

Languages

English

Fluent

Certificates

Applied Data Science Lab

WorldQuant University

Python for Data Science & Machine Learning

Udemy

The Complete SQL Bootcamp

Udemy

Advanced Analytics in R for Data Science

Udemy

Skills

MLOps & Deployment

FastAPI, Docker, Azure.

Programming Languages & Tools

Python, R, SQL, Excel.

Machine Learning Frameworks

Scikit-learn, PyTorch, LlamaIndex, LangChain.

Data Engineering

Apache Kafka, Apache Spark, dbt, PostgreSQL, MongoDB.

Soft Skills

Data Modeling, Critical Thinking, Communication, Teamwork.

Projects

ML Model Development & Deployment Readiness

Summary

Developed and evaluated a range of classification and regression models, focusing on optimizing for performance and readiness for deployment.

Corrective RAG System Development

Summary

Designed and implemented a corrective Retrieval Augmented Generation (RAG) system to enhance the accuracy and reliability of Large Language Model (LLM) responses.

Contextual RAG Pipeline Design

Summary

Engineered a sophisticated contextual RAG pipeline to ensure the generation of precise and context-aware outputs from AI models.

Automated RAG Workflow with Airflow & Docker

Summary

Streamlined the RAG workflow through automation, ensuring seamless document ingestion, embedding, and vector storage processes.

AI Agent with Memory Capabilities

Summary

Developed an advanced AI agent equipped with procedural and short-term memory, enabling more complex and stateful interactions.

NLP Model Fine-tuning & OCR Development

Summary

Undertook advanced Natural Language Processing (NLP) tasks, including fine-tuning transformer models and developing an Optical Character Recognition (OCR) solution.