Arafat Al Mahmud

Designed and launched an in-house NodeJS CRM integrator, eliminating external dependencies and improving system stability after two vendor shutdowns.

Developed and shipped an LLM-powered "Similar Leads" generator in weeks instead of months, significantly cutting costs and accelerating early customer adoption.

Orchestrated multi-tenant enrichment pipelines, efficiently processing 50,000 accounts within 1 hour across multi-region AWS deployments.

Migrated core systems from DynamoDB to PostgreSQL, enhancing data consistency and boosting query throughput by 70% while reducing support incidents.

Automated CI/CD pipelines for NodeJS services, substantially increasing release frequency and reducing manual effort.

Reduced message drops from 10-20% to <0.5% by implementing retries with exponential backoff and Kafka-based tracking, significantly improving system reliability.

Built a real-time monitoring dashboard that proactively identified issues, cutting support tickets by 40%.

Optimized analytics events pipeline for real-time consumption, saving 20% in processing time.

Shipped a distributed job scheduler, enabling robust async task executions and processing an increased volume of requests.

Mentored junior engineers on coding standards, testing, and API design, fostering team growth and best practices.

Scaled parcel creation from 100 to over 10,000+ per batch (9,900% increase) using async job queues, saving 50+ hours weekly and onboarding enterprise merchants.

Engineered a complaint escalation system, reducing resolution time from 72 hours to 8 hours, boosting first-contact resolution by 86% and merchant NPS from -15 to +42.

Built a unified notification service from scratch, achieving 100% adoption across products for SMS, push, and email communications.

Optimized MySQL queries and backend logic, reducing execution time by 90% for critical workflows.

Collaborated cross-functionally with operations and product teams to deliver high-impact merchant features, aligning technical solutions with business goals.

Refactored legacy codebase to ES6, cutting maintenance costs by 25% and significantly boosting developer productivity.

Built and deployed a reporting pipeline with MongoDB aggregation, enabling real-time business insights for strategic decision-making.

Improved overall system performance by optimizing queries and backend flows end-to-end, ensuring efficient operations.

Partnered with Singapore-based Product Managers to align technical deliverables with key business goals, ensuring successful feature delivery.