Back to Projects
UTA Student Career Success Pathway App

UTA Student Career Success Pathway App

Work
CML Insights2025 - 2026Machine Learning Engineering Lead

Key Highlights

  • Principal ownership of a causal and AI-driven platform improving post-graduation student outcomes
  • Designed personalized career-major recommendations and evidence-based pathways
  • Built LLM-powered assistant grounded in student context, cohorts, and research evidence
  • Led architecture for multi-tenant, role-based student and executive experiences
  • Enabled executive dashboards and automated reporting for strategic decision-making

Overview

Mobile-first, AI-powered platform designed to improve post-graduation outcomes for UTA students, including salary, wealth, and financial well-being. The application combines causal analytics, real-world evidence, and personalized planning to guide students toward high-impact career pathways while providing institutional leaders with executive-level visibility into program effectiveness.

Architecture

End-to-end decision platform supporting students and leadership:

  • Student Experience: Responsive dashboard and AI chat for planning and guidance
  • AI Layer: LLM-based assistant with access to student context and cohort summaries
  • Data Platform: ETL pipelines integrating institutional, Equifax, and public datasets
  • Access Model: Multi-tenant architecture with role-based views (students, deans, leadership)

Key Technical Contributions

Personalized Career & Pathway Intelligence

Designed systems combining surveys and longitudinal student data to recommend career–major pairings aligned to individual skills and passions. Enabled curated and custom pathways with SMART goals and estimated causal impact on long-term outcomes.

Evidence-Based Planning & Causal Insights

Integrated causal models and real-world evidence to estimate how pathway choices and interventions influence salary, wealth indicators, and financial stability across heterogeneous student groups.

LLM-Powered Student Assistant

Built a context-aware AI assistant grounded in student data, peer cohorts, and historical evidence. Supports research, pathway optimization, and personalized guidance through conversational interaction.

Executive Dashboard & Reporting

Led development of leadership dashboards providing benchmarks, segment-level performance, and program impact analysis. Enabled automated generation of executive-ready reports tailored to stakeholder roles.

Technologies

  • Backend & Data: Python, PostgreSQL, ETL pipelines
  • AI & LLMs: Contextual RAG-based assistants
  • Frontend: Mobile-first, responsive UI
  • Security & Access: IAM integration, role-based authorization
  • Analytics: Causal inference and outcome modeling

Impact

Empowered students with personalized, evidence-backed career planning while enabling UTA leadership to monitor outcomes, optimize programs, and allocate resources strategically. Bridges individual student guidance with institution-wide, data-driven decision-making.