I build platform capabilities that turn infrastructure into a strategic advantage.
Platform Engineer with 5+ years of experience leading teams, designing high-availability systems, and delivering automation that drives measurable growth.
Led platform initiatives from architecture to production operations.
Designed resilient infrastructure with strong observability and incident practices.
Built internal platforms that reduce friction and accelerate engineering velocity.
About
Platform Engineer with a strong Python background, focused on building reliable, scalable systems that directly support business growth. I work at the intersection of infrastructure, automation, and product strategy — ensuring platforms are not only stable, but enable faster iteration, better decision-making, and operational efficiency.
- Align platform decisions with measurable business outcomes.
- Design systems for scale, failure tolerance, and recovery.
- Invest in automation to unlock team velocity.
- Bridge engineering execution with product and stakeholder priorities.
Resume
Platform Engineer focused on building resilient systems and internal platforms that increase organizational leverage and long-term scalability.
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K. N. Toosi University of Technology
M.S. in Artificial Intelligence
Sharif University of Technology
B.S. in Computer Engineering
- Teaching Assistant for Python Programming, Advanced Java, Software Engineering, and Linear Algebra.
- Ranked #375 globally in QS World University Rankings 2026.
Experience
Independent Startup Project
Technical Product Manager & Team Lead
- Led a 5-member cross-functional team and managed the product lifecycle from ideation to delivery using Agile practices.
- Coordinated with stakeholders to prioritize features and deliver scalable, reliable solutions aligned with business goals.
Maktabkhooneh
Site Reliability Engineer & Platform Team Lead
- Promoted to lead Platform team; partnered with product and business to deliver scalable infrastructure supporting company growth.
- Led development of automated course production pipeline (foreign course ingestion + subtitle generation), expanding catalog size and boosting revenue.
- Built AI-driven internal platforms for comment moderation, support workflows, and automated grading.
- Designed and optimized Airflow-based video processing pipelines, improving throughput by 25–30%.
- Owned production reliability with Nginx, observability (Prometheus, Grafana, Loki, Netdata, Sentry), security hardening (Fail2Ban), automated backups (Borgmatic, Rclone), CI/CD, and blameless post-mortems.
Lifeweb Co
Data Engineer & Python Developer
- Designed ETL pipelines with Spark, Airflow, NiFi, Kafka, and RabbitMQ for large-scale real-time data processing.
- Improved ingestion speed by 50% while maintaining 99%+ data accuracy.
- Built production-grade Python crawlers (Scrapy, Selenium, Regex) for Twitter, TSETMC, Sahamyab, Rahavard365, Codal, IRNA, and YJC with robust rate limiting and data integrity.
- Delivered dockerized Flask REST APIs and managed MongoDB, PostgreSQL, and Elasticsearch clusters for client-facing analytics.
- Implemented monitoring, validation, and automation to increase reliability and reduce downtime.
Rahnema College
Machine Learning Intern
- Developed end-to-end demand and driver supply forecasting system for an online ride-hailing application.
- Owned EDA, feature engineering, model selection, and implementation using Python, pandas, and scikit-learn.
