I lead Enterprise Applications & Digital Transformation at OPSWAT — turning fragmented SaaS workflows into integrated products powered by data, automation, and agentic AI. Every platform built from scratch — original ideas, not open-source clones.
My career started in financial-services technology — trading platforms, accounting systems, SWIFT infrastructure, Salesforce — at Schroders and FPT Software. Over fifteen years I moved from supporting systems, to designing them, to building internal products that reshape how people work.
That idea drives my work at OPSWAT, where I own strategy and delivery of internal platforms across CRM, revenue operations, enterprise data, AI automation, and employee-facing products. The future of enterprise technology is not buying more SaaS — it's building intelligent products on top of trusted systems of record, where company-specific context becomes a competitive advantage. That belief shaped OSCAR, Qlari, Sugar Data Tool, and the Salesforce Metadata Archive.
I am a builder at heart. I like taking messy business problems, understanding the real friction behind them, and turning them into software that feels obvious in hindsight — the kind where users ask, "Can I just work from this instead?"
Enterprise applications shouldn't be a cost center. Combined with data, AI, and product thinking, they become the fastest team in the company.
Agentic platforms that reason over enterprise knowledge, use tools, trigger workflows, and operate with governance — RAG, orchestration, MCP tools, LLM gateways, human-in-the-loop controls.
Moving organizations from internal tools to internal products — designed around adoption, workflow fit, business outcomes, and trust.
Systems that help Sales, RevOps, CX, Finance, and executives decide — forecasting, deal health, account research, pipeline visibility, AI-generated insight.
Build-first where company-specific context compounds; buy-on-purpose where scale, maturity, or compliance make SaaS the better choice.
AI is only useful when the data foundation is trustworthy — warehouses and semantic models, APIs and sync, data quality, and AI-ready knowledge layers.
Each one is its own platform — click any to explore its architecture, decisions, and impact. Original ideas, original code, no forked repos.
One governed agentic AI layer for the whole company — web, Teams, Slack & email.
ExploreAI-native revenue intelligence that briefs, targets, and visualizes itself. Replaced Clari + Revic.
ExploreA warehouse-native Customer-360 & revenue-intelligence surface with role-based command centers.
ExploreA self-hosted, open-source lakehouse — the governed data foundation beneath every product.
ExploreOne internal front door for the whole company — requests, workflows, and operations behind one login.
ExploreVietnamese-first, RAG-grounded legal AI for law firms — streaming chat with strict tenant isolation.
ExploreA safety-first CRM data-operations platform — dedupe, bidirectional HubSpot sync, full audit.
ExploreA black-box recorder for a Salesforce org — searchable config, AI explanations, SugarCRM mapping.
ExploreKeyboard-first case-triage workspace for support agents, with a browser-extension OAuth bridge.
ExploreProduct-knowledge platform with AI-generated marketing assets published via git-synced review.
ExploreSelf-hosted dynamic-DNS updater for homelab and NAS — scoped tokens, sync dashboard, Docker-first.
ExploreZero-dependency port-path inspector that tells you WHY a port is unreachable.
ExploreBidirectional case↔ticket sync with HMAC-signed webhooks, polling, and comment mirroring.
ExploreA tool completes a task. A product earns preference.
AI that creates another workflow is theater. Good AI reduces steps, decisions, and cognitive load.
Don't build because SaaS is expensive. Build where company-specific context compounds.
For enterprise AI and business systems, trust is not a feature. It is the foundation.
Employees should not have to tolerate bad software just because it is internal.
Own strategy and delivery of internal products and enterprise applications across revenue operations, customer experience, employee services, enterprise data, and AI automation for a global cybersecurity company.
Led CX operations systems, Salesforce platform stabilization, AI chatbot development, and support experience modernization.
Eleven years across front-office trading platforms, APAC Salesforce, automation, and global technology operations for a leading asset manager.
Enterprise workflow, integration, Android, .NET, and data-warehouse solutions for financial-services clients — including K2 workflow platforms extending SimCorp Dimension and SSIS data pipelines.
Texas A&M UniversityB.S. Computer Engineering (primary) · Mathematics (secondary) · 2005 — 2009
Enterprise AI, internal product strategy, build-vs-buy, revenue intelligence — or a messy business problem that deserves better software. I'm always up for a good conversation.
[email protected]