Backend Engineer

Open to full-time

Bio

Mobolaji F. is a Backend Engineer with several years of experience in machine learning, AI, and MLOps. His core stack includes Python, FastAPI, Docker, Azure Machine Learning, and SQL. Mobolaji builds scalable machine learning pipelines and deploys them as RESTful APIs, focusing on real-time prediction capabilities. He emphasizes data preprocessing, feature engineering, and containerization to ensure efficient deployment and integration. At 10Alytics, Mobolaji designed end-to-end ML pipelines that reduced manual reporting by 85% and improved model accuracy by over 20%. At Simplified UX, his work on Power BI dashboards and real-time data integrations led to a 20% increase in user engagement and a 15% rise in subscription renewals. Mobolaji holds a Bachelor of Science degree and certifications in Full Stack Data Science and SQL for database management. He is well-suited for roles involving the development and deployment of machine learning solutions and data-driven insights.

Expertise

PythonMongoDBSQLCSSHTMLFast APINumPyAWSRelational DatabaseDocument DatabasePyTorchGitC#JavaScript

Video Intro

Assessments

General Project Assessment

(91/100)

Implement an LRU Cache AlgorithmMedium
Find the Length of the Longest Substring Without Repeating CharactersMedium
Understanding Rate Limiting in APIsMedium
Perfect score on Ensuring Real-time Data Accuracy in Mobile ApplicationsMedium

Projects

Heart Disease Risk Checker

Early Detection of Heart Diseases

Experience

MLOps and AI Solutions Specialist
10AlyticsOct 2022 — Sep 2025
- Designed and implemented scalable, end-to-end machine learning pipelines for classification and regression tasks, which led to an 85% reduction in manual reporting and improved decision-making across multiple departments.
- Performed in-depth data cleaning, feature extraction, and transformation on large datasets using Pandas, NumPy, and scikit-learn to ensure model readiness and boost model accuracy by over 20%.
- Developed and deployed ML models as RESTful APIs using FastAPI, enabling real-time prediction capabilities that integrated seamlessly with client-facing web apps and internal dashboards.
- Containerized the entire application using Docker and deployed to Azure, ensuring consistent behavior across development and production environments and reducing deployment time by 60%.
PythonDockerAzure Ai FoundryAzure Machine learningSQLPower BI
Full Stack Data Scientist
Simplified UX – Chicago, USA (Remote)Mar 2020 — Jul 2022
- Led development of Power BI dashboards, visualizing user activities and subscription trends. Utilized MongoDB query language for efficient data retrieval. Integrated real-time data feeds for up-to-date insights. This resulted in a 20% increase in user engagement and a 15% rise in subscription renewals, driving company growth.
- Utilized machine learning algorithms to predict user behavior especially customer churn on the platform. Analyzed historical data to identify patterns and trends. Implemented personalized recommendations resulting in a 25% increase in user engagement and higher subscription retention rates, contributing to the company's growth in the competitive market.
- Facilitated regular cross-functional meetings, notably with the social media manager, to align strategies. Presented Power BI insights on user retention, signup trends, and campaign impacts. Collaborative efforts resulted in a significant 25% increase in new signups, effectively enhancing overall customer engagement and user retention.
PythonMongoDBPower BIHTMLCSSJavaScript