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Experience
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- Architected a data lake ingesting 30K+ daily records from 7+ platforms, enabling lead-level P&L tracking and surfacing under-performing verticals.
- Built an automated lead arbitrage system processing 5K+ leads daily through quality validation, deduplication, and delivery to buyers.
- Engineered a real-time marketing automation pipeline delivering leads instantly to multiple platforms, replacing next-day batch processing.
- Developed CASL compliance automation that synchronizes unsubscribers across platforms and auto-removes expired consents, preventing regulatory fines.
- Designed dimensional data models with domain-specific marts and built dashboards exposing margin trends across 10+ verticals.
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- Owned the entire technical stack as sole developer, deploying an ML-powered thermal hotspot detection system that reduced identification time from 2 hours to 15 minutes per flight.
- Built an event-driven processing pipeline to orchestrate parallel ML inference across 100K+ images.
- Fine-tuned a detection model on 10K+ annotated thermal images, achieving 87% accuracy across multiple camera models and regions.
- Developed the customer-facing web application for viewing and managing wildfire detection results.
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- Contributed to the Hummingbird Network platform for Hummingbird Drones.
- Built front-end features and handled cloud deployment and infrastructure.
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- Extended anomaly detection system using Python (Pandas, NumPy) with rolling average thresholds, reducing false-positives by 10%.
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- Developed portal applications on the ServiceNow platform.
- Participated in Agile development lifecycle with peer code reviews.
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- Conducted quality assurance testing, identifying and documenting bugs across the platform.
- Worked with developers to resolve issues and ensure reliability before release.