Ali M.

About Ali M.

I design and scale systems that handle millions of transactions, power real-time AI decisions, and keep critical infrastructure running — from healthcare platforms at Oracle to fulfillment engines at Amazon.Over 15 years, I\'ve worked across industries where reliability isn\'t optional: financial services, energy grids, healthcare, and e-commerce. My work sits at the intersection of distributed systems engineering and applied AI — building things that are fast, fault-tolerant, and actually useful in production.What I bring:⇾ Architecting cloud-native platforms on OCI, AWS, and Azure at scale⇾ Leading teams and driving technical decisions across complex, cross-functional environments⇾ Integrating NLP and ML into real systems — not demos, but production pipelines that cut manual work by 70%+⇾ Delivering under pressure: 99.99% availability, 52+ releases/year, zero-downtime deploymentsTech I live in: Java · Kotlin · Spring Boot · Kafka · Kubernetes · Terraform · Redis · PythonIndustries: Healthcare · Fintech · Energy · E-CommerceI\'m based in Irvine, CA and open to senior/staff engineering and technical lead roles at companies building at scale.

Experience

1. Senior Software Engineer

   Oracle

   May 2023 — Present · US

   Building cloud-native healthcare data infrastructure on OCI/Kubernetes for enterprise hospital networks. Re-architected a monolithic Health Information Exchange into cloud-native microservices on OCI/Kubernetes, cutting CI/CD build times by ~70% and enabling independent team delivery. Designed a dedicated ingestion pipeline for a hospital network generating 10× peak traffic of any prior client — zero SLA breaches for existing tenants at launch. Eliminated production OOM failures by re-engineering bulk data processing into async JMS/Redis streaming pipelines, reducing p95 latency by ~60% and reaching 99.9%+ ingestion reliability. Defined the platform\'s first SLOs and SLAs from scratch using Splunk telemetry — established error budgets and burn-rate alerting that shifted the team from reactive incidents to proactive reliability. Built an AI incident triage agent (Codex + Splunk) that autonomously diagnoses production failures and delivers ranked fixes — cutting MTTR by ~40% without adding on-call headcount. Mentored 5+ engineers and drove org-wide API design and Terraform IaC standards adopted across multiple teams.

Education

• Concordia University

  Master of Engineering - MEng, Computer Software Engineering

  2017 — 2020