Featured Development & Consulting Projects
Hardened experience with mission-critical systems in security and fintech sectors. This section focuses on legacy monolith stabilization, high-load performance diagnostics (Oracle, Java), and complex integrations within high-compliance infrastructures. The core priority is a production-first mindset: modernizing and supporting platforms where stability is the primary business requirement and downtime is not an option.
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Imperva SecureSphere DAM
Enterprise security platform engineering on Imperva SecureSphere DAM — a legacy Java-based database activity monitoring system in production since 2008. Work covered the full platform stack: Java backend fixes, Oracle DB internals, Linux OS-level diagnostics, HA cluster infrastructure, TLS certificate lifecycle, and in-place upgrade pipeline. Operated in L3 troubleshooting-development mode across highly variable enterprise environments where failures rarely present at a single layer and network security controls routinely operate outside diagnostic reach.
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Nakivo Backup and Replication
Feature development on an enterprise Nakivo Backup and Replication platform spanning physical hosts, VMware vCenter, Hyper-V, and AWS environments. Delivered Active Directory object recovery from mounted backup images, unified cross-platform script execution across PowerShell and POSIX shell, and Microsoft 365 backup/restore via REST API — with recurring root-cause work on AWS IAM permission failures and a Linux interpreter mismatch between daemon and interactive execution contexts.
Engineering Explorations Projects
An archive of independent R&D projects and architectural research. These entries represent deep dives into system design: from custom Microkernel engines in PHP to deterministic FSM systems in Unity/C#. These explorations demonstrate a consistent approach to universal engineering principles—isolation, component lifecycles, and strict contracts—applied across any runtime, from web to game development.
AI Automation Projects
Implementing Generative AI into real-world business operations. This section showcases autonomous agents and multi-step orchestration pipelines (Make, Voiceflow, LangChain) for healthcare and retail. These are not mere experiments, but operational automations—from lead qualification to deep CRM integrations. The focus is on reducing friction, ensuring data consistency, and turning LLM capabilities into measurable business efficiency.


