Tommi Petteri Ahveninen

Designed and delivered high-performance platforms using React, Next.js, Node.js, FastAPI, and AWS, reducing load times by 20% through caching and server-side rendering. Migrated legacy systems to a microservices architecture with Python (FastAPI, Django) and Docker, enabling 40% higher concurrency and eliminating downtime during peak demand. Built AI-powered analytics pipelines in Python, automating solar performance data insights and reducing manual reporting by 35%. Developed a secure solar e-commerce marketplace with Stripe integration and GraphQL APIs, upholding PCI DSS compliance and preventing transaction loss during traffic spikes. Designed and optimized an enterprise document management system using Django, PostgreSQL, and Redis, cutting data retrieval times by 45%. Implemented a multi-gateway payment abstraction layer with Django REST and GraphQL for thousands of daily transactions with robust security. Collaborated with cross-functional teams in Agile/Scrum and mentored junio

Designed and delivered high-performance platforms using React, Next.js, Node.js, FastAPI, and AWS; migrated legacy systems to microservices with Python (FastAPI, Django) and Docker, enabling higher concurrency and reducing downtime during peak demand; implemented AI-powered analytics pipelines; built a solar e-commerce marketplace with secure checkout (Stripe, GraphQL APIs) and PCI DSS compliance; optimized a document management system for enterprise banking; implemented a multi-gateway payment abstraction layer with Django REST and GraphQL.

Led development of AI-driven AdTech analytics dashboards (Python, Django, React, WebSockets), delivering sub-second reporting speeds for millions of data points. Architected event-driven microservices with Python (FastAPI/Django) and Kubernetes to scale SaaS platforms globally, reducing latency and improving reliability. Engineered predictive analytics models integrated into SaaS workflows, boosting churn prediction accuracy and enabling proactive retention. Automated banking compliance workflows with Django and PostgreSQL, leveraging AWS S3 and Docker for encrypted archiving and audit trails. Rebuilt e-commerce checkout systems with Stripe and PayPal APIs, reducing failed transactions by 30% through retry/rollback logic. Implemented RBAC with Django/Node.js and token-based policies to speed up enterprise logins by ~40%. Established CI/CD pipelines using Jenkins, GitHub Actions, and Azure DevOps to ensure reliable deployments and faster AI/ML model delivery.