AI SaaS design, workflow automation, agentic operating models, product-to-platform execution
ShuvoTechnology Leadership, AI & SoftwareI help turn ideas into practical AI, modern software, and scalable systems
Engineering leader focused on applied AI, product thinking, and modern software that creates measurable impact
279 contributions in the last year
AI SaaS design, workflow automation, agentic operating models, product-to-platform execution
Architecting and scaling production systems across public platforms, enterprise software, and AI-driven products
Introduced AI-assisted engineering and operational automation to compress delivery effort and improve throughput
Reduced publishing latency, manual effort, and release friction through platform modernization and automation
Owning AI SaaS architecture, business workflow automation, and engineering delivery across a multi-tenant product environment.
Built a technically strong AI/ML research profile around software security, explainability, and advanced graph-based vulnerability modelling.
Led modernization of large public-sector platforms with strong emphasis on platform resilience, secure APIs, and measurable operating efficiency.
Built maintainable enterprise platforms, public APIs, and high-availability services while sharpening architectural and delivery depth.
Developed the business-systems foundation through ERP, billing, ETL, and reporting solutions tied closely to operational efficiency.
Quebec, Canada
An in-depth technical analysis of TigerBeetle's core architecture, exploring how static memory allocation, zero-copy io_uring interfaces, and Zig-based performance engineering eliminate runtime overhead and deliver predictable, sub-millisecond tail latencies.
An in-depth technical analysis of CVE-2026-6875, a critical CVSS 9.5 sandbox escape vulnerability in the ServiceNow AI Platform under active exploitation. Learn the mechanics of AI execution layer escapes and how to harden your infrastructure.
With OpenTelemetry's graduation within the CNCF, the standard for cloud-native observability is set. This guide analyzes OTel's core architecture, provides a production-ready Collector configuration, evaluates agent vs. gateway topologies, and outlines a pragmatic migration path from legacy APM agents.
An analytical, hands-on guide for engineering leaders on operationalizing Secure-by-Design principles. Learn how to leverage framework-level protections, build zero-trust API boundaries, secure the CI/CD pipeline, and design secure observability systems.
An in-depth technical analysis of PLC logic tampering and configuration exploitation in industrial control systems. Learn how to implement network segmentation, protocol hardening, and physical write-protect controls to defend critical infrastructure.
An in-depth technical analysis of OpenAI Presence, examining how the enterprise platform operationalizes agentic governance, secure sandboxing, state durability, and human-in-the-loop workflows for production-grade AI agents.
source code for ixuvo.com — built with Astro, powered by PocketBase, self-hosted, Cloudflare Tunnel.
Engineering leader and AI researcher building secure, scalable systems—and helping teams turn ambitious ideas into measurable outcomes.
An interactive React-based pitch deck for presenting the business plan, market opportunity, strategy, financial projections, and growth vision of a foreign graduate entrepreneur initiative.
Official website for DSGenAI 2025, an international workshop on dependable and secure generative AI, featuring research topics, paper submissions, organizers, schedules, and registration information.
A structured and reproducible machine-learning project template for organizing data preparation, feature engineering, model training, inference, experimentation, and reporting.
The code behind the [Former] UnsecuredAPIKeys.com
A practical collection of 50 essential algorithms implemented in Python, with clear explanations, complexity analysis, and runnable examples covering sorting, graph traversal, dynamic programming, search, optimization, and machine learning.
Experimental Project - Fully Autonomous Job Application Workflow with Zero Manual Intervention
Thesis Implementation