Open to opportunities

Amir Shabani

@amirshabani

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Software engineer building high-impact backend systems for fintech, fraud prevention, and scalable data services.

Iran

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What I'm looking for

I’m looking for a backend-focused role where I can own high-impact services, improve reliability and performance, and collaborate closely—while bringing leadership through mentoring and engineering process improvements.

I’m a software engineer focused on building scalable backend services with clean service boundaries, maintainable APIs, reliable data modeling, and dependable handling of high-volume financial transactions. In my current work, I’ve helped implement stakeholder-driven approval workflows for business transfers and strengthened governance with role-based access control, permissions, spending limits, and audit trails.

Previously, I designed and implemented a fraud detection system using advanced rule-based algorithms, transaction monitoring, and pattern recognition—reducing fraud detection time from 4 days to 30 minutes. I also built memory-efficient reporting services (cutting peak memory usage by 90% while serving 10,000+ reports monthly) and high-performance data aggregation across 200,000+ businesses, improving retrieval time from one week to 6 hours.

I’ve led backend feature delivery and platform reliability as well—automating cryptocurrency listing workflows (integration from 3 days to 3 hours), transforming bottleneck services into highly available systems through performance tuning and caching, and maintaining uninterrupted uptime through continuous monitoring. I enjoy technical leadership, mentoring, and improving engineering processes, and I’ve also worked on monitoring stacks (Prometheus/Grafana/Sentry), API documentation (Swagger), and database migrations between MongoDB and PostgreSQL.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

Blu Bank

Jul 2025 - Present (11 months)

Built scalable backend services for B2B banking operations, designing maintainable APIs and reliable data models for high-volume transactions. Developed a stakeholder-driven approval workflow for business transfers and implemented RBAC with permissions, spending limits, approvals, and audit trails to strengthen payment governance.

Backend Service Design Data Modeling And Approval Workflows Role Based Access Control (RBAC)Transaction Processing

Current

Stack Overflow Contributor

Current

Stack Overflow

May 2016 - Present (10 years 1 month)

Contributed as an individual contributor, earning a top-contributor reputation (8% overall) through consistent question answering and follow-up responses.

Problem Solving Code Examples Documentation Reputation Growth

Backend Team Lead

Rahkar Novin Zibal

Feb 2024 - Jul 2025 (1 year 5 months)

Built rule-based fraud detection and transaction monitoring, cutting detection time from 4 days to 30 minutes. Led delivery of reporting, data aggregation, real-time notifications, and trust-logo services, reducing peak memory usage by 90% and speeding data retrieval to 6 hours for data spanning 200,000+ businesses.

Fraud Detection Transaction Monitoring Reporting Data Aggregation Caching Team Leadership

Backend Engineer

Tabdeal Cryptocurrency Exchange

Mar 2023 - Feb 2024 (11 months)

Built and deployed an automated workflow for new cryptocurrency listings, reducing integration time from 3 days to 3 hours and enabling the exchange to double available coins. Optimized database queries and caching to turn a critical price service into a highly available system, maintaining uninterrupted uptime and mentoring new hires to improve ramp-up and retention.

Workflow Automation Performance Optimization Caching High Availability System Monitoring Mentoring

Backend Engineer

Idekavan Group

Apr 2022 - Mar 2023 (11 months)

Implemented system monitoring using Prometheus, Grafana, and Sentry to reduce failure detection and debugging time. Built Swagger-based API documentation and executed MongoDB/PostgreSQL migration scripts for 3,000+ businesses to maintain data consistency during database restructuring.