Sameer Kadi

Product OperationsAI & Data Products

I design, operate, and scale AI-powered systems with execution discipline.

Sameer Kadi

Product Ops

AI Systems + Execution Discipline

About

Execution-first product operations for AI systems

Confident delivery under pressure, with strong process discipline and stakeholder alignment.

Sameer Kadi profile

Name: Sameer Kadi

Location: USA / Remote

Background: Data Science (Human-Centered Applications)

Data Science major focused on Human-Centered Applications and product outcomes.

Product Ops-oriented professional building and operating AI-enabled workflows.

Paid Student Support Assistant at ASU International Students & Scholars Center for 1+ year.

Interned in Voice UI/UX Research & Design at AnKaSumMor, shaping conversational product experiences.

Led operations for programs serving 800+ attendees across campus events and sessions.

Coordinated vendors, stakeholders, and volunteers in high-visibility environments.

Organized an AI Summit with the Consulate General of India and AWS collaboration.

Designed and structured voice command flows for human-bot interactions, enabling users to browse grocery lists, explore products, and complete orders through a conversational voice interface.

Featured Case Study

AI Customer Support Operations Platform

Support teams often face high ticket volume, slow triage, and limited visibility into automation performance. This system demonstrates a safe AI-assisted support operations workflow combining AI intent classification, retrieval-augmented knowledge lookup (RAG), automation guardrails, and human escalation.

System Architecture

1. User Interaction LayerCustomer ticket UI, Ops dashboard, and agent workspace interfaces.2. API and Intake LayerFastAPI endpoints handling ticket ingestion, ticket history, and agent updates.3. AI Intelligence LayerIntent classification using local embedding models and confidence scoring.4. Retrieval LayerRAG pipeline retrieving relevant knowledge base articles for support responses.5. Decision EngineRule-based automation deciding auto-resolution vs escalation using confidence thresholds.6. Data & Observability LayerSQLite ticket storage, SLA deadline tracking, metrics, and decision audit trail.7. Deployment LayerDockerized service for consistent local and cloud environments.User UIAPIClassifierDecision EngineAutoResolveEscalateMetricsOps UI GET /ticketsTicket StoreRead

Operations Design

  • Human-in-the-loop AI automation with controlled escalation.
  • Clear separation between AI predictions and operational decision rules.
  • End-to-end observability through ticket metrics and dashboards.
  • Ticket lifecycle management with SLA monitoring.
  • Agent workspace for handling escalated support tickets.
  • Deployment-ready architecture using Docker.
FastAPIPythonRAG RetrievalSentence TransformersSQLiteHTML / JavaScriptDockerMetrics & Observability

Additional Work

Secondary product and operations projects

Each project demonstrates decision rigor, analytics depth, and delivery structure.

Experience

Operational leadership with measurable execution

Timeline view of paid experience, leadership scope, and stakeholder-heavy delivery.

2025

AI Summit Operations Lead (Flagship)

Arizona State University | International Students & Scholars Center

  • Led end-to-end operations for the AI Summit with the Consulate General of India and AWS partner teams.
  • Drove cross-functional coordination across vendors, university offices, student organizations, and external stakeholders.
  • Built execution timelines, staffing plans, and contingency workflows for high-visibility event delivery.
  • Resolved real-time operational issues under high-pressure conditions while maintaining execution quality.

2024 - Present

Student Support Assistant

International Students & Scholars Center, Arizona State University

  • Led large-scale program and event operations for 800+ participants with delivery ownership from planning through on-site execution.
  • Managed vendor coordination, logistics execution, contract-sensitive operations, and compliance requirements.
  • Directed and trained 25+ volunteers to ensure smooth on-site operations and rapid issue resolution.
  • Maintained cross-team communication rhythm to keep stakeholders aligned on execution milestones and dependencies.

Jan 2022 - Apr 2022 · 4 mos

Intern Voice UI/UX Research & Design

AnKaSumMor · Internship

  • Location: Bengaluru, Karnataka, India · Remote
  • Worked on conversational UX research and design for voice-first user journeys.
  • Tools and platforms: Actions Console (Google) and Voiceflow.

Capabilities

Skill architecture built for product operations

Organized as capability clusters rather than generic progress bars.

Product Ops

Operational ReadinessSOP DesignStakeholder OrchestrationIncident TriageRelease Coordination

AI/ML Lifecycle

Model Ops CollaborationPrompt OpsEvaluation FrameworksHuman-in-the-Loop SystemsRisk and Policy Gates

Analytics

KPI TreesProcess MetricsSQL AnalysisDashboard NarrativesExperiment Readouts

Tools

JiraNotionFigmaTableauPythonSQLGitHubSlack

Hobby

Photography Catalogue

Selected frames from travel, city life, and architecture.

Contact

Let's Connect

Let's connect to discuss Product Ops, analytics, and AI product opportunities.

Open to Product Operations Associate and AI Product roles in the US and remote environments.

Form submission sends directly from this website and delivers to skadi@asu.edu without opening a mail app.