Professional Skills

• Designed intelligent multi-tier caching systems with memory-aware eviction algorithms
• Built thread-safe cache managers with weak references and automatic memory optimization
• Implemented real-time performance monitoring with compression ratio tracking and efficiency scoring
• Created modular architecture supporting hyperspectral data processing at enterprise scale
Python, threading, weakref, SQLite, performance profiling, system optimization

• Implemented intelligent memory pressure detection with dynamic cache resizing
• Built LRU-based eviction algorithms with access pattern analysis and importance scoring
• Designed memory leak prevention systems using weak references and automatic cleanup
• Created object size estimation algorithms for NumPy arrays and Pandas DataFrames
psutil, weakref, garbage collection, memory profiling, performance optimization

• Specialized hyperspectral data compression algorithms with wavelength/reflectance optimization
• Built real-time spectral data processing pipelines for geological drillcore analysis
• Designed statistical analysis engines with ANOVA, outlier detection, and distribution analysis
• Created automated data validation and preprocessing systems for large scientific datasets
NumPy, Pandas, spectral analysis, statistical modeling, data compression (gzip/pickle)

• Built multi-layered caching systems with SQLite persistence and transaction management
• Designed automated database indexing strategies for time-series and metadata queries
• Implemented intelligent data serialization with protocol optimization and compression
• Created connection pooling and timeout handling for concurrent database operations
SQLite, transaction management, indexing strategies, connection pooling, data serialization

• Implemented thread-safe cache systems with RLock-based synchronization
• Built context managers for resource cleanup and exception-safe operations
• Designed asynchronous cache warming with callback-based preloading systems
• Created deadlock prevention patterns and performance monitoring for concurrent operations
threading.RLock, context managers, async operations, deadlock prevention, performance monitoring

• Built comprehensive metrics systems tracking hit rates, retrieval times, and efficiency scores
• Implemented real-time performance profiling with statistical trend analysis
• Created automated system resource monitoring with memory pressure detection
• Designed exportable analytics with JSON serialization and historical tracking
performance profiling, statistical analysis, system monitoring, data visualization, JSON export

• Responsive portfolio design with HTML, CSS, and Bootstrap
• Interactive features using jQuery, Chart.js, and TensorFlow.js
• Frontend optimization for performance and user experience
Bootstrap, Font Awesome, jQuery, Popper.js, Chart.js, TensorFlow.js, ML.js

• Built comprehensive statistical analysis pipelines with mean, variance, skewness, and kurtosis calculations
• Implemented advanced outlier detection algorithms and ANOVA processing for scientific datasets
• Created real-time data validation systems with automated quality assessment
• Designed statistical trend analysis for cache performance and system optimization
statistical modeling, data validation, quality assessment, trend analysis, scientific computing

• Designed modular cache management systems with separation of concerns and dependency injection
• Implemented factory patterns, observer patterns, and strategy patterns for extensible architecture
• Built comprehensive logging and error handling frameworks with structured exception management
• Created clean APIs with context managers, dataclasses, and type hints for maintainable code
design patterns, modular architecture, clean code principles, API design, maintainability