Building IntelligentSystems With Purpose

Owning AI SaaS architecture, business workflow automation, and engineering delivery across a multi-tenant product environment.

• Designs business-to-automation flows that connect user operations, AI reasoning, and backend execution
• Manages architecture, roadmap translation, delivery strategy, and technical risk
• Drives secure cloud-native services, AI-assisted engineering, and product-operational alignment

Built a technically strong AI/ML research profile around software security, explainability, and advanced graph-based vulnerability modelling.

• Applied GNNs, transformers, and causal deep learning to security-oriented software analysis
• Worked on interprocedural vulnerability tracing and interpretable analysis pipelines
• Strengthened the research depth behind future AI product and automation leadership roles

Led modernization of large public-sector platforms with strong emphasis on platform resilience, secure APIs, and measurable operating efficiency.

• Delivered service and data pipeline modernization that cut latency by up to 80%
• Reduced manual publishing effort by up to 90% through automation
• Improved release and delivery cycles by around 40% with better DevSecOps practices

Built maintainable enterprise platforms, public APIs, and high-availability services while sharpening architectural and delivery depth.

• Architected REST APIs and secure integration services on .NET
• Worked deeply across CQRS, reliability, performance tuning, and CI-driven engineering
• Strengthened maintainability and release confidence for mission-critical systems

Developed the business-systems foundation through ERP, billing, ETL, and reporting solutions tied closely to operational efficiency.

• Built .NET and MSSQL systems for inventory, telecom, billing, and reconciliation
• Reduced manual processes by about 70% in operational workflows
• Developed the delivery discipline that later scaled into platform and leadership work