Principal · Applied AI & systems
I architect production AI systems — agents, trading engines, MLOps.
Engineering Lead, Applied AI at Deriv. From multi-agent pipelines to algorithmic trading engines — four years before that inside Target's ML Platform (feature store, Kernels-as-a-Service, MLflow). Fractional CTO / technical sparring partner for teams that need rigor, not slide decks.
Services
Core capabilities
I combine deep technical execution with a senior-led engagement model so every AI build ships as a strategic business asset.
AI Agent Development & Custom LLM Fine-tuning
Build domain-specific assistants and tuned models that map to real workflows, not demo prompts.
Workflow Automation & Systems Integration
Connect siloed tools into dependable automations with clean handoffs, guardrails, and observability.
Data Operations & Predictive Analytics
Turn fragmented events into decision-ready pipelines and forecasting surfaces teams can actually trust.
Digital Infrastructure & Cloud AI Scaling
Ship production AI systems with secure infrastructure, resilient deploy paths, and performance controls.
Products
Built products
WebinarForge
Automated webinar operations stack across registration, reminders, follow-ups, and launch reporting.
Pulse Engine
Real-time intelligence pipeline for signal processing and execution-adjacent automation.
Attribution Console
Marketing intelligence surface that unifies spend, funnel events, and revenue signals in one view.
More implementation detail lives under Projects and expands as new products ship.
Trusted in production
Engineering Lead, Applied AI — shipping systems used at scale.
4 yrs on the in-house ML Platform — feature store, KaaS notebooks, MLflow.
workshop
session
Have a hard problem worth solving?
Tell me about the outcome you need — multi-agent systems, trading infra, or getting AI out of the lab. I take a small number of engagements each quarter.
Book a call