Professional experience

• Reduced backend data retrieval latency by 70% through optimization of distributed caching architecture and Redis data-access strategies.
• Diagnosed and resolved a critical memory leak within the Redis caching layer by improving key expiration and eviction mechanisms, increasing application stability and preventing service degradation.
• Refactored backend automation frameworks and service components, improving scalability, maintainability, and test execution efficiency across engineering workflows.
• Supported deployment and scaling of hybrid cloud infrastructure utilizing Microsoft Azure and Kubernetes clusters across cloud and on-premises environments.
• Performed root-cause analysis, debugging, profiling, and performance tuning in high-concurrency distributed systems to identify bottlenecks and improve application reliability.

Redis · Distributed systems · Azure · Kubernetes · Performance

• Designed and developed a full-stack database management platform using React, Django, PostgreSQL, REST APIs, and modern web technologies.
• Implemented advanced filtering, searching, and querying functionality enabling efficient retrieval and segmentation of large datasets.
• Built secure RESTful API endpoints supporting frontend-backend communication, data retrieval, reporting workflows, and business operations.
• Collaborated with stakeholders throughout the software development lifecycle to gather requirements, design solutions, and deliver production-ready functionality.

React · Django · PostgreSQL · REST APIs · Full stack

• Developed and evaluated machine learning models for phishing email classification using natural language processing and text-based feature extraction techniques.
• Performed data preprocessing, feature engineering, model training, and validation on large email datasets.
• Implemented supervised classification algorithms to identify phishing attacks and distinguish malicious communications from legitimate emails.
• Analyzed model performance using accuracy, precision, recall, and other evaluation metrics to improve detection effectiveness.

Machine learning · NLP · Cybersecurity · Python

• Provisioned and administered VMware ESXi virtual machines supporting internal testing, development, and infrastructure validation environments.
• Developed Python and Bash automation scripts that reduced manual system health reporting effort by 40%.
• Optimized PostgreSQL database performance through data cleanup, query improvements, and removal of redundant records.
• Implemented monitoring and alerting solutions for server latency, storage utilization, and disk I/O performance, enabling proactive issue detection and incident response.

VMware · Python · Bash · PostgreSQL · Monitoring