Aaron Alipour

Cloud Database Platform: Go-based control plane for automated, self-service database provisioning. Technical lead and architectural owner across 5 teams (20+ engineers), setting technical direction for the platform.

Led the transformation of a legacy travel-booking platform into a distributed, cloud-native microservices architecture with ML-driven personalization. • Engineered an ML-powered recommendation engine using vector search (LangChain) and predictive models for personalized route planning, driving a 40% increase in platform throughput. • Deployed Vertex AI across Go/Python microservices to automate dynamic pricing, booking, and itinerary assembly for 18000+ bookings/month. • Built MLOps pipelines (MLflow, Ai

Siemens CRM System: architecture and full-stack delivery. • Decomposed a monolithic CRM into modular, scalable components as lead architect. • Worked hands-on across backend and UI as a full-stack contributor on core features. • Partnered with users and stakeholders to map data models, workflows, and problem areas. • Created CI/CD pipelines that improved delivery speed by 7x. TECH Go, Python, FastAPI, PostgreSQL, Redis, RabbitMQ, Istio, Kubernetes, Terraform, React, AWS

eCommerce platform (atp-autoteile.de). • Delivered a distributed product catalog search on the ELK stack, achieving 0.1s response times. • Developed a real-time notification service and optimized the deployment pipeline. • Improved overall system performance by 50%+ through iterative backend and frontend tuning. • Mentored cross-functional team members and resolved frontend issues while shipping new features. TECH C#, ASP.NET, MS SQL Server, Redis, Kafka, ELK, Docker, React, TypeScript, Azure

AI-powered dating platform focused on long-term relationships. • Co-founded the matchmaking platform, designing an ML-based compatibility scoring algorithm to surface high-intent, long-term matches. • Architected a distributed, event-driven system for high availability and real-time processing at scale. • Built and owned the full product end-to-end as founding engineer, covering architecture, infrastructure, and delivery, while growing a founding team of 5 engineers. • Implemented automated trust & safe

Public Warehouse and Customs Services National System. • Authored high-performance, maintainable code with a focus on security and scalability for a national-scale government system. • Applied DDD, CQRS, and TDD practices, with thorough testing to ensure quality and standards adherence. • Collaborated cross-functionally with stakeholders on troubleshooting and delivery. • Monitored system performance and contributed to early SRE practices. TECH C#, ASP.NET, Python, Django, Oracle, RabbitMQ, Angular, D

Dissertation: Deep neural context-aware recommender system for MOOC learning curves TECH: PyTorch, Keras, Scikit-learn, Pandas, NumPy

Dissertation: Smart port storage advisor: cargo/yard allocation via deep reinforcement learning