Sayef Reyadh.
Case studies[05]

Engineering Projects

Real-world technical challenges and solutions

AI / ML Engineering6+ months

Contextual Bandit Experimentation System

Optimizely

Selected results
400ms to <200ms
Latency Reduction
85%
Cache Hit Rate
35%
Server Load Reduction
Problem

The Contextual Bandit (CMAB) experimentation system was experiencing high API latency (~400ms), limiting the viability of real-time ML-driven personalization for thousands of customers.

AI-Assisted Engineering3 months

AI-Powered Architecture Intelligence System

Optimizely

Selected results
71
Repositories Covered
15
Investigation Skills
3
Agent Personas
Problem

Debugging and tracing issues across 71 microservice repositories was slow and labor-intensive, requiring engineers to manually correlate logs, trace service dependencies, and investigate cross-service data flows.

Backend & Cloud Architecture2+ years

Distributed Event-Driven Newsroom Platform

Craftsmen

Selected results
99%
Uptime
50%+
Performance Improvement
~40%
Cost Reduction
Problem

A multi-tenant newsroom SaaS platform serving European customers was experiencing reliability issues and performance bottlenecks under SLA-bound production workloads.

Engineering focus

Technical Expertise

Core competencies and engineering focus areas

Backend Systems Architecture

Expert in designing and implementing scalable, high-performance backend systems. Deep experience with serverless, microservices, and event-driven architectures.

  • Serverless systems designed to handle 10x growth without rewrites
  • API optimization achieving 30-50% latency reduction
  • Database architecture preventing bottlenecks at scale
  • Scalability planning and architectural decision-making

Cloud Infrastructure (AWS / GCP)

Extensive experience migrating systems to modern cloud infrastructure with zero downtime. Proficient with AWS Lambda, Fargate, DynamoDB, GCP App Engine, and Cloud Functions.

  • Zero-downtime migrations with proven track record
  • 40%+ cost reduction through infrastructure optimization
  • Infrastructure automation for reliable deployments
  • Multi-cloud architecture and vendor flexibility

Performance & Reliability Engineering

Strong track record diagnosing and resolving performance bottlenecks in high-traffic systems.

  • API performance optimization with proven latency reduction
  • Database query optimization and bottleneck resolution
  • Caching strategies for high-load production systems
  • Auto-scaling implementation for traffic spike handling

Technical Leadership & Mentorship

Experienced in leading engineering teams, conducting code reviews, and establishing best practices.

  • Code review and architecture mentorship for engineering teams
  • Process optimization for faster delivery and fewer bugs
  • Technical hiring and team building experience
  • Documentation and knowledge transfer systems