Feb 2024 – Present

Hyperspectral Intelligence Inc, Gibsons, BC, Canada

• **Developed enterprise-grade Python application** for hyperspectral imaging analysis, architecting a full-stack solution with responsive GUI (tkinter, Matplotlib), robust backend data pipelines, advanced workspace management, real-time spectral visualization, and comprehensive drillcore geological analysis.
• **Achieved exceptional performance optimization** with 70-85% overall performance improvement, reducing memory usage by ~65% and increasing UI responsiveness by ~90% when processing multi-gigabyte hyperspectral datasets through advanced algorithmic optimizations and intelligent resource management.
• **Architected scalable scientific computing platform** featuring multi-tabbed interfaces, intelligent file system explorers, and dynamic data caching (EnhancedDataManager), implementing advanced techniques including event throttling, multi-level caching, memory-mapped file access, asynchronous rendering, and weak reference management for complex scientific workflows.
• **Designed enterprise-level caching architecture:** Built sophisticated multi-tier caching system with AdvancedMemoryCache, PersistentMetadataCache, and SpectralDataCompressor, implementing weak references, intelligent LRU eviction algorithms, memory pressure detection, and cache warming strategies to efficiently handle multi-gigabyte hyperspectral datasets with sub-second retrieval times.
• **Implemented comprehensive performance monitoring:** Developed advanced metrics tracking system including cache hit rates, memory usage analysis, retrieval time optimization, and efficiency scoring algorithms, with automatic resource optimization based on real-time system monitoring and usage pattern analysis.
• **Engineered specialized data compression:** Created custom compression algorithms for scientific spectral data using gzip compression, precision reduction techniques, and structured data serialization, achieving 60%+ storage savings while maintaining full data integrity for critical wavelength/reflectance datasets.
• **Built advanced interactive visualization platform:** Developed real-time spectral data dashboards using Matplotlib integration and custom Treeview widgets for complex data exploration, incorporating performance-critical optimizations including throttled event handling, intelligent canvas redrawing, background processing, and memory-efficient rendering.
• **Developed high-performance geological analysis system:** Created spectral plotting engine capable of processing multi-gigabyte geological datasets through innovative caching strategies, memory-mapped file access, and asynchronous data loading, enabling smooth real-time interaction with complex drillcore visualization workflows and scientific analysis tools.
• **Implemented robust workspace management:** Architected comprehensive project management system with JSON-based configuration, SQLite persistence, automatic backup/restore functionality, workspace integrity checking, recent project tracking, and seamless data migration capabilities across application versions.
• **Created advanced threading and concurrency framework:** Built thread-safe background processing system with progress tracking, batch operations, and non-blocking UI updates, ensuring responsive user experience during intensive data processing operations while maintaining data consistency and application stability.

May 2023 – Aug 2023

Finance Department, University of Calgary, Calgary, AB, Canada

• Performed wallet address labeling on Ethereum blockchain data using Julia, developing efficient scripts to categorize and analyze transaction patterns for financial insights.
• Conducted web scraping to gather supplementary blockchain data, optimizing data pipelines with Julia for real-time processing and reporting, enhancing stakeholder decision-making.

Sep 2014 – Sep 2020

Physics Department, University of Tabriz, Tabriz, Iran

• Applied advanced analytical techniques to process experimental physics datasets, leveraging Python scripts for precision data handling and visualization.
• Developed technical reports and presentations, utilizing optimized data workflows to communicate actionable insights derived from complex scientific data.