TalkingPoints Platform
The 2022–2026 arc: modernizing data infrastructure, scaling analytics, integrating enterprise systems, and building AI evaluation loops for a multilingual EdTech platform.
I worked at TalkingPoints from 2022–2026. Each project lists its own dates, so some begin later within that span.
→Start with the overviewData Infrastructure Modernization
2022-2026Data Engineering
Built from scratch (-ish). Hevo → (a few other things 😬) → Fivetran, Medallion architecture with dbt, CI/CD on GitLab, 70% Snowflake cost reduction.
70% cost reduction, near-real-time data freshness
Read case study →Partner Analytics Platform
2022-2026Business Intelligence
In-app analytics consulting, custom enterprise partner Tableau dashboards, internal self-service via Sigma and Streamlit. Laid the foundation for AI-powered analytics starting with an MCP server that let stakeholders chat directly with our warehouse.
5+ enterprise partners, 50%+ reduction in ad-hoc requests
Read case study →Enterprise System Integration
2022-2026Integration Engineering
Salesforce, PlanHat, Customer.io, Intercom/Dixa. Fuzzy matching with Jaro-Winkler. Philosophy: minimize friction for humans, don't replace them.
360-degree customer views, 4 system integrations
Read case study →Attendance API & Product
2024-2026API Design & Product Engineering
A new attendance-product data surface built from scratch with typed contracts, streaming roster data, load testing, and an architecture that supported AI-assisted development.
New product vertical enabled, back-to-school performance validated
Read case study →Long-Term Impact Research
2025-2026Data Science & Research
Research infrastructure for impact analysis. Clio-inspired conversation analysis pipeline. Dialogue segmentation, utterance role labeling, privacy-preserving NLP at scale.
Evidence-based product development, impact measurement
Read case study →AI/ML Data Operations
2024-2026AI Ops & ML Infrastructure
Message classification stewarded to production. Machine Translation Quality Estimation app for self-service evaluation. Cost safeguards and visible tradeoffs.
AI quality assurance, cost controls, evaluation frameworks
Read case study →