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Schedule Interview NowMy name is Waqar M. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: Solution Architecture, Python, DevOps, AWS CloudFormation, Kubernetes, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Tristar AI, Supper, Achieve, Chargepoint Management System. I am based in Thornaby-on-Tees, United Kingdom. I've successfully completed 4 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I’m motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
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Palantir Technologies
I worked as a DevOps Engineer on Tristar AI, a platform that leverages AI-powered smart cameras and computer vision technology to optimize factory operations. I was responsible for building and managing the cloud infrastructure that supported large-scale video data processing, real-time analytics, and AI model deployments. By implementing automation pipelines, containerization, and robust monitoring systems, I ensured the platform operated with high availability and scalability, enabling factories to improve efficiency, safety, and decision-making through intelligent computer vision insights.
I worked as a Senior DevOps Engineer on Supper, an AI-powered business intelligence platform that provides real-time insights and predictive analytics for data-driven decision-making. I designed and managed the cloud infrastructure, implemented automation pipelines, and optimized data handling to support large-scale analytics and machine learning workloads. With robust monitoring and orchestration in place, I ensured the platform remained highly available, scalable, and reliable while delivering accurate and timely business insights.
I contributed as a DevOps Engineer to Achieve, an intelligent, automated test-preparation platform designed to help students practice, track progress, and achieve better results with minimal effort. My primary responsibility was to design, implement, and optimize the cloud infrastructure and DevOps workflows that power the platform.
I led a project to design, architect, implement, release, and manage a multi-tenant B2B SaaS Chargepoint Management System. The application uses a plugin-based architecture, allowing administrators to enable/disable modules similar to ODOO or Oracle. Built with microservices and microfrontend architecture, the backend uses Python, FastAPI, Django, Docker, Kubernetes, and PostgreSQL. The frontend employs React, Redux, and TypeScript. For container orchestration, we used AWS EKS with GitHub Actions for the CI/CD pipeline and ECR for image registry.
Bachelor of Computer Science (BCompSc) in