Muhammad Usama

Professional Summary

I am a backend software developer based in Manchester with proven expertise in designing and delivering scalable, data-driven solutions using .NET Core, C#, Python, and Azure cloud services. With a deep understanding of databases like SQL Server and CosmosDB and a commitment to Test Driven Development (TDD) and SOLID principles, I consistently bridge technical solutions with business goals to deliver measurable value. My adaptable, results-oriented approach ensures efficient, impactful solutions tailored to complex challenges. I am open to hybrid roles in Manchester or fully remote opportunities.
📧 Email: muhammadusama02@hotmail.co.uk
🌐 Website | LinkedIn | drawing GitHub
🛠️ Technologies & Tools: .NET Core (6+), C#, Python, SQL Server, CosmosDB, Redis, Azure, Kubernetes
Patterns and Methodologies: Domain-Driven, Event-Driven, CQRS, Mediator, Agile, Scrum

👨🏽‍💻 Professional Experience

Senior Software Engineer @ OutThink (March 2023 - Present)

OutThink revolutionises security awareness training by leveraging data science and machine learning to quantify human risk, automate remedial actions, and deliver personalised training and phishing simulations tailored to employee behaviours.

Key Contributions

Spearheaded the Role-based Training Feature, achieving a 30% increase in user engagement compared to generic training modules.
Optimised platform resilience by resolving critical bugs, implementing robust unit tests, and reducing technical debt, significantly cutting weekly debugging efforts.
Transitioned microservice infrastructure to Azure Kubernetes Services (AKS), enhancing deployment efficiency tenfold.
Advanced the QA process by introducing automation testing frameworks, allowing product and QA teams to concentrate on complex edge cases.
Integrated Large Language Models (LLMs) to generate AI-driven content tailored to user needs.
Redesigned the feedback pipeline to be scalable and resilient, empowering administrators and CISOs to support users more effectively.

Tools: .NET Core 6/8, CQRS, DDD, Python, Azure, Service Bus, OpenAI, CosmosDB, SQL Server, Docker, Kubernetes

Services Developer @ Pets at Home (Nov 2021 - March 2023)

Pets at Home is the UK’s foremost pet care provider, offering food, grooming, and veterinary services through a comprehensive business ecosystem.

Key Contributions

Managed enterprise-grade internal systems, establishing unique identifiers for customers and products, and setting enterprise standards for API and service development.
Designed and implemented Backend-for-Frontend (BFF) APIs, simplifying data orchestration for front-end teams.
Built and maintained core projects, expediting API development through pre-configured enterprise standards.
Developed an Azure DevOps pipeline to automate the build, test, and publishing processes, enhancing deployment consistency.
Containerised front-end applications using Docker, integrating CI pipelines with tools like Cypress and Lighthouse.
Advocated for a transition from solution-driven to business-driven requirements, ensuring alignment with overarching business objectives.

Tools: .NET Core 6, CosmosDB, Docker, Node.js, Azure, Azure DevOps

Analyst Programmer @ Tessella (Sep 2019 - Nov 2021)

Tessella, now part of Capgemini Engineering, specialises in delivering data-driven R&D solutions across industries such as Oil and Gas, Pharmaceuticals, and Consumer Goods.

Key Contributions

Collaborated with stakeholders to elicit requirements, define user stories, and provide accurate development estimates.
Developed and enhanced software solutions tailored to client-specific needs, maintaining high-quality standards.
Proactively refactored legacy codebases to mitigate technical debt and enhance maintainability.
Built Power Apps for efficient data entry in remote field operations, streamlining workflows.

Tools: C#, Python, R, Docker, JavaScript, SQL Server, MySQL, Azure, Power Apps, Power Automate

🎓 Education

MMath&Phys(Hons) in Mathematics and Physics - Grade: First
University of Manchester - Manchester, UK (2015 - 2019)
Masters Project (75%): Modelling internal flow of an immiscible droplet subject to a shear flow.

Engineered an algorithm in MATLAB to process and analyse 20,000 experimental images, enabling quantitative insights.
Formulated a mathematical model incorporating surfactant kinematics to replicate experimental fluid dynamics.
Demonstrated real-world applications in fluid mechanics, particularly for superhydrophobic surfaces and contamination control.