I turn complex, high-volume operations into clearer decisions, faster workflows, and measurable results. My background spans Amazon fulfillment leadership, global security operations, business continuity, and financial services—with hands-on experience building AI-assisted tools, Python applications, APIs, dashboards, and workflow automations.
- Operational intelligence: reporting, forecasting, anomaly detection, and decision-support tools for high-volume environments.
- AI-enabled workflows: structured intake, classification, quality evaluation, routing, and human-in-the-loop handoffs.
- Process automation: Python, SQL, APIs, and lightweight web applications that replace repetitive manual work.
- Scalable operations: metrics, standard work, stakeholder alignment, and change adoption across frontline teams.
- Lead 60+ associates across four automated fulfillment zones supporting 260K–350K units per shift.
- Built 10+ operational tools using Python, Flask, JavaScript, SQL, APIs, and generative AI.
- Automated hourly reporting that saves each floor manager about 15 minutes per hour and expanded building-wide.
- Developed an operations intelligence platform integrating six enterprise data sources with forecasting, anomaly detection, and grounded AI guidance.
- Designed requirements for an Amazon Connect alarm-intake workflow linking caller context, routing, standardized handoffs, and analyst Tasks.
- Built an AI-assisted quality evaluation workflow covering 982 operational interactions and tested incident-triage concepts on roughly 1,000 historical records.
Human-in-the-loop operations platform that converts unstructured interactions into explainable classifications, priority decisions, queue routing, standardized handoffs, audit trails, and quality metrics.
Focus: AI operations · FastAPI · workflow automation · human review · quality evaluation
Production-facing web experience for a multilingual AI transcription and language-services platform. Built with Next.js and TypeScript, with a live deployment on Vercel.
Focus: product workflow · customer experience · TypeScript · Next.js · API integration
Live:kreyai-web.vercel.app
Python API supporting secure job intake, email verification, explicit lifecycle states, and documented service contracts for language-processing workflows.
Focus: Python · FastAPI · REST APIs · workflow design · service reliability
Analyzes 400+ industrial safety records to surface risk patterns and predict high-potential incidents using exploratory analysis and machine learning.
Focus: Python · pandas · scikit-learn · risk analytics · data storytelling
Uses SQL and Python to calculate customer retention, visualize cohort behavior, and translate findings into onboarding and lifetime-value recommendations.
Focus: SQL · Python · retention analytics · business insights
| Area | Tools |
|---|---|
| Programming & Data | Python, SQL, JavaScript, TypeScript, pandas, scikit-learn |
| Applications & APIs | Flask, FastAPI, Next.js, REST APIs, JSON, webhooks |
| AI & Automation | Amazon Bedrock, prompt design, LLM evaluation, workflow automation |
| Analytics | Amazon QuickSight, matplotlib, seaborn, forecasting, anomaly detection |
| Operations | Process improvement, KPI design, incident triage, change management, SOPs |
I am focused on roles at the intersection of operations, AI enablement, process improvement, and program management—especially opportunities where a builder can move from frontline problem discovery to a scalable technical solution.