AI & Technology
Turn ambiguous goals into agentic systems: orchestrate LLMs, data pipelines, and human-in-the-loop flows that reduce manual effort and improve decisions.
Current Focus
ASC (Agentic Systems for Commerce)
Building agentic commerce intelligence pipelines that turn retail signals into actionable decisions and measurable outcomes.
OakFire.ai
Contributing to an early-stage SaaS platform that helps users clean datasets and generate insights.
LangGraph Extensions
Supporting the team with internal tooling to facilitate multi-model orchestration.
Areas of Contribution
Agentic workflows
LLM orchestration
E-commerce analytics
Data engineering strategy
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Professional Builds
Contributing to enterprise systems that help teams achieve measurable outcomes through collaborative automation and AI solutions.
E-commerce PDP Monitor
ASC Trackers • Python, Automated Monitoring
Contributed to building an automated monitoring system with the team that tracks product optimization rollouts across 83 high-priority ASINs. Features intelligent change detection, multi-time window analysis, and executive-ready HTML reports.
Team Impact: 2.5 hours/week saved across workflows
AI Content Generation Pipeline
Brief Generation • OpenAI API, AsyncIO, FastAPI
Collaborated on architecting a multi-agent AI system for automated product optimization brief generation. Features parallel processing, structured JSON outputs, automated fact-checking, and cloud storage integration.
Team Impact: Helped reduce brief creation time by 80%
ROI Impact Calculator
ASC KPI • Next.js 15, TypeScript, PostgreSQL
Helped develop a full-stack analytics application with the team that measures business impact of e-commerce optimizations. Features real-time dashboards, ML-powered scoring, and statistical confidence analysis.
Team Impact: Enabled data-driven decision making
Analytics Data Pipeline
McKinsey Dataset • Python, XGBoost, PostgreSQL
Contributed to creating a robust data pipeline processing ~400 ASINs with ~2000 search terms. Features ML-based sales interpolation, intelligent caching for 4x performance improvement, and comprehensive validation.
Team Impact: Contributed to 4x processing speed improvement
These collaborative projects reflect our team's commitment to thoughtful AI integration, scalable data engineering, and creating shared value through intelligent automation.