Aleksandar Mandic
Hi, I am Aleksandar Mandic, a senior software engineer with 7+ years of experience specializing in Python, Node.js, and cloud-native development.
About
Hi, I am Aleksandar Mandic, a senior software engineer with 7+ years of experience specializing in Python, Node.js, and cloud-native development. I enjoy building scalable, reliable systems and delivering value through clean code, thoughtful architecture, and a collaborative mindset.
Beyond coding, I mentor junior engineers, improve team processes, and champion best practices like TDD and CI/CD. I also enjoy integrating AI-driven solutions to solve complex problems and boost product outcomes, while keeping a strong focus on quality and maintainability.
- 4 years' experience
- Joined October 2025
Skills· 19
Languages
- EnglishAdvanced
- SerbianFluent
Industry experience
- Software & Internet
- Professional Services
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Work experience
- Designed and deployed microservice-based financial systems, scaling to support 50K+ daily API calls while ensuring regulatory compliance and zero downtime for merchants. - Mentored a team of five junior engineers, improving code quality and delivery efficiency through structured reviews, design guidance, and test-driven development practices. - Integrated AI-driven fraud detection into transaction flows, cutting fraudulent activity by 40% and improving trust with Central Bank auditors and external partners. - Engineered asynchronous reporting pipelines, reducing report generation times by 60% and enabling real-time delivery of transaction, settlement, and invoice summaries. - Implemented automated fee deduction and refund models in Banking-as-a-Service, boosting recurring revenue by 25% and reducing manual finance team workloads significantly.
- Migrated monolithic travel services into modular cloud-based infrastructure, reducing deployment times by 40% and improving system reliability for global B2B partners. - Scaled booking APIs to process 10K+ daily transactions, delivering seamless integration of flights, hotels, and tour services across international partner platforms. - Reduced checkout latency from 4 seconds to under 0.5 seconds by optimizing backend processes, significantly improving customer purchase conversion rates. - Improved large dataset synchronization by 45% with background processing pipelines, reducing manual reconciliation efforts for travel agencies by thousands of records daily. - Built resilient distributed systems for seasonal peaks, decreasing downtime by 35% and ensuring consistent availability during high-demand tourism periods worldwide.
Education
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