Abdullah Eshaq

• Co-Led the payment methods implementation of BACS (Bankers Automated Clearing System) in AWS, implementing authorization flows, mandate setup, idempotent state machines, and fault-tolerant retries to expand AWS into the UK bank-debit market and lower payment processing costs.

• Coordinated integration across 6+ AWS systems (Processing, Collections, Fraud/Risk, Policy, Console), running design reviews and ensuring compliance requirements were met to deliver a secure and scalable BACS launch expected to support hundreds of thousands of annual transactions.

• Architected a region-agnostic infrastructure deployment system for the AWS European Sovereign Cloud, reducing deployment time to any new region from 6 weeks to under a day.

• Engineered a pre-charge MFA validation system to reduce fraudulent charge-backs, leading to a $200K/month reduction in losses.

• Improved reliability and consistency across 50+ CI/CD pipelines by adding retries, strengthening dependency handling, and introducing test suites, reducing deployment cycles from 60+ days to under 5 days.

• Mentored an intern through architectural reviews and technical coaching, resulting in meaningful production-level contributions and a return offer.

• Built and deployed a scalable notification service for internal customer workflows, reaching 500K+ users and increasing feature adoption.

• Developed a serverless architecture using AWS Batch, DynamoDB, and S3, reducing message processing time by 30%.

• Implemented anomaly detection in trading data, reducing trading errors by 15%.

• Automated daily commodity market reports, delivering insights that enhanced strategic decision-making.

• Tested gameplay features on FIFA 23, documenting bugs through QA reports to improve release stability.

• Maintained the QA pipeline for FIFA 23, managing bug lifecycles and streamlining testing cycles.

Relevant courses: Intermediate Algorithms and Data Structures, Computer Systems, Relational Databases, Operating Systems, Software Engineering, Machine Learning and Data Mining, Computer Vision, Computer Networking