Arkel Lahi

• Led end-to-end development of the MQUEEN Timesheet platform, automating tracking and approval workflows that reduced manual time entry by 40%. • Designed and implemented secure RESTful APIs using TypeScript, achieving 99.9% uptime and reducing data validation errors by 25% for thousands of concurrent users. • Enhanced backend performance and PostgreSQL optimization, improving average API response time by 30% and reducing query execution time by 50%. • Containerized services with Docker to standardize development environments and simplify containerization and deployment workflows. • Refined database queries and backend services to improve concurrency and reporting accuracy. • Spearheaded collaborative initiatives with cross-functional stakeholders to deliver a robust platform reliability focused solution, increasing overall system stability by 15%. • Deployed and monitored scalable infrastructure on Amazon Web Services (AWS) and used AWS CLI to control various AWS services over SHELL/Bash scripting. Tech stacks: Docker, Node.js, Express.js, PostgreSQL, Next.js, TypeScript, AWS

• Led development of healthcare platforms supporting patient engagement and dental practice management. • Architected scalable healthcare platforms using React, Node.js, Go, and PostgreSQL while ensuring HIPAA compliance. • Integrated RESTful API suite connecting EHR and payment gateway, reducing manual appointment entry by 1,200 records monthly for a network of 25 dental offices, improving staff efficiency and patient throughput, and overall operational accuracy. • Improved backend services with Go to increase concurrency, application performance, and resource efficiency. • Mentored junior engineers and introduced engineering best practices, raising code quality and delivery speed. • Utilized AWS Lambda platform to upload data into AWS S3 buckets and to trigger other Lambda functions focusing on high availability, fault tolerance, and Auto-scaling. Tech stacks: React, Node.js, PostgreSQL, JavaScript, TypeScript, Next.js, Go, AWS

• Built backend services for an AI-driven fashion platform, reducing average API response times by 40% and supporting a 30% increase in user traffic. • Streamlined rendering pipelines for virtual try-on features, significantly reducing response times. • Coordinated with data scientists to integrate ML models into production systems. • Partnered with international stakeholders to deliver features on time, balancing innovation with system stability. Tech stacks: Vue, Vuex, Nest.js, Python, Django, MongoDB, JavaScript, TypeScript

• Delivered scalable digital platforms for local and international clients across finance, ecommerce, and enterprise sectors. • Engineered and maintained robust REST APIs and authentication systems using Node.js and PHP, reducing average API response times by 20% for critical financial applications. • Developed performance-critical modules and system-level components using C++ for optimized processing and resource management. • Strengthened system security and enhanced application performance for high-traffic environments. Tech stacks: Node.js, PHP, SQL, React, Angular, Vue, JavaScript, TypeScript, REST APIs