Hey, I'm Moein HalvaeiSoftware Engineer

Increased automated tracking coverage from 68% to 98% of active containers by reducing manual login dependence and handling upstream schema/API changes.

Sustained 60+ logistics integrations across carriers, AIS, rail and terminals by adding drift detection, fallback parsing, and automated retries, cutting scraper failure rate from 15% to under 1% per month.

Enhanced ETA prediction accuracy by leveraging ML-driven forecasting models, multi-source tracking signals and event normalization, reducing mean absolute error from 4.2 to 2.6 days and increasing ETA accuracy within ±2 days of arrival from 54% to 89%.

Architected and built real-time social platform services — Feed, Story, Post, Reaction, Comment, and Report — from scratch serving 200,000+ daily active users.

Engineered a load simulator for 2,000+ concurrent users, identifying 30% of critical bugs across development and production; resolved database hotspots through targeted query optimization and index tuning.

Built a feature flagging system and back-office tooling with automated reporting, cutting weekly report generation from 2 hours to 15 minutes (87% reduction).

Optimized CI/CD pipelines via parallel builds and leaner test suites, cutting deploy time from 30 to 12 minutes, enabling same-day hotfixes and increasing weekly release cadence from 2 to 5 deploys.

Designed and optimized a high-throughput Matching Engine processing up to 2,000 orders per second (OPS) under peak trading load with low-latency order matching.

Developed and maintained 6 microservices for a cryptocurrency exchange using Python, FastAPI, Kafka, PostgreSQL, and gRPC, processing thousands of real-time trades per day.

Reduced regression risk and established a repeatable testing baseline by adopting TDD/BDD with Gherkin scenarios and Python Behave, reinforced by integration testing.