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pjavanrood/README.md

Hi there, I'm Parshan Javanrood! 👋

Welcome to my GitHub profile!

  • 🎓 Education:

    • BASc in Computer Engineering at the University of British Columbia

  • 💡 Technical Interests:

    • 🚀 Machine Learning: Designing efficient pipelines, running large-scale distributed training, and exploring model optimization techniques.
    • ☁️ Cloud Computing: Building scalable and sustainable cloud infrastructures, with a focus on carbon-aware systems.
    • 🔗 Distributed Systems: Implementing fault-tolerant systems, and exploring scalable database design.

💼 Experience

  • 🕸️ Software Engineer Intern at Rippling
    • Developed an event-matching algorithm to detect missing events, scanning 6k+ events/hour.
    • Designed a Kafka event producer for bulk database transactions, reducing infra costs by $216k annually.
  • 🏦 Quantitative Developer Intern at Squarepoint Capital
    • Built end-to-end automated solution for anomaly detection and cleaning of historical data.
    • Developed a real-time Streamlit dashboard for monitoring data quality.
  • 🤖 Machine Learning Engineer Intern at RBC Borealis AI
    • Developed back-end services for ML models using FastAPI and PostgreSQL.
    • Implemented monitoring dashboards with Grafana and custom metrics using Prometheus.
    • Designed a generic training pipeline using Dagster, dbt, and ClickHouse.
  • 🌱 Research Assistant at UBC Cloud and Infrastructure Lab
    • Worked on Caribou, a project to reduce the carbon footprint of serverless applications.
    • Built a non-linear optimizer for UnFaasener, to reduce serverless billing costs.
  • 🌐 Prev Intern @ Arista Networks and NETINT Technologies

💻 Course & Personal Projects

  • 🔍 StudyBuddy: A messaging app built with Node.js and MongoDB, featuring live chat, and a RAG-based study assistant powered by ChromaDB and ChatGPT-3.5
  • 🗺️ MapReduce in Go: Implemented a simplified version of MapReduce inspired by the Google MapReduce paper.
  • 📦 Distributed Key-Value Store: Developed a CRUD-capable key-value store in Java using gRPC and Protobuf.
  • 🔒 OS/161 Kernel Build: Built synchronization primitives, system calls, and virtual memory systems from scratch.

🤩 Interests

  • 🚀 Machine Learning Pipelines & Optimized Systems for AI Workloads
  • 🖥️ Building sustainable, carbon-aware infrastructure
  • 📊 Balancing performance trade-offs in distributed systems

📫 Get in Touch

✨ Let's build something awesome together! ✨

@pjavanrood's activity is private