Sodiq Yusuff

About Sodiq Yusuff

Results oriented and performance-driven Software and Machine Learning Engineer with vast professional experience employing best IT practices and agile methodologies to spearhead software development lifecycle for world-class and customer-centric organizations. I thrive as an excellent communicator and relationship builder, leading technology integrations and launches that outperform business objectives while cultivating strategic multi-stakeholder partnerships.As a concept-to-completion driver, I exhibit technology leadership and entrepreneurial excellence, leading complex enterprise IT initiatives and coaching technical product development teams to supercharge productivity. I champion all aspects of software development including requirements gathering, algorithm and system design, test & behavior-driven development to streamline business Technical Skills Core, Angular, GoLang, C, Javascript, Python, Numpy, Pandas, SciPy, Java, Azure Devops, MsSql, MySql,AWS, Azure, Kafka, Docker, Kubernetes, Redis, MongoDb, Octopus Deploy, Teamcity, Elastic Stack

Experience

1. Software Engineer

   Loomis US

   Dec 2024 — Present

   Designed, developed, and optimized company’s large-scale cash-in-transit (CIT) backend platform, supporting millions of transaction daily across business-critical modules, leveraging C#.Net, MsSql and NoSql (RavenDb) database.Engineered a high-performance data ingestion tool for detecting and staging changes in a third-party MSSQL database using MD5 hashing, reformatting payloads, and streaming into internal services using RabbitMQ, ensuring near real-time data synchronization.Provide feature enhancements to a message visualization and diagnostics tool for Neuron ESB, empowering developers and operators to inspect, filter, and debug successful and failed transaction messages across distributed services.Designed and implemented scalable asynchronous services for data processing, data maintenance, and external data dispatching for scheduled, resource-intensive workloads.Implemented centralized logging and monitoring using Datadog, enabling real-time observability, log correlation, and proactive alerting across distributed services.Designed and implemented a proof-of-concept AI route optimization engine leveraging NVIDIA cuOpt, Python, Folium, NumPy, and OSRM, improving logistics and enabling future optimization capabilities at scale.

Education

• FEDERAL UNIVERSITY OF TECHNOLOGY AKURE (FUTA)

  Bachelor's Degree, Electrical and Electronics Engineering

  2011 — 2016

• Georgia Institute of Technology

  Master's degree, Computer Science

• Udacity

  Introduction to Pytorch