Learning Systems Architect

Yasser Gandhi

Hernández Esquivel

The Purple Squirrel of EdTech AI-Driven Instructional Designer German Language Expert · C1 Certified · DaF Specialist Domain-Driven Systems · TypeScript · Supabase · Zod 15 Years · UAM Azcapotzalco & UNAM · Real Users · Real Data

I design learning systems where pedagogy governs the AI, not the other way around. Creator of huhuGERMAN — a domain-driven platform that introduces authentic German documentary content from A1, challenging the field's consensus with 15 years of real evidence and a typed pedagogical domain as the source of truth.

→ huhugerman.com LinkedIn GitHub

EdTech DaF / German L2 Instructional Design AI-Governed Systems DACH Region Qualitative Research Scopus Peer Reviewer CONACYT Fellow

Purple Squirrel

Three profiles. One intersection nobody else occupies.

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DaF Pedagogy

15 years teaching German A1–C1 in Mexican public universities. Metacognitive scaffolding. Authentic materials from A1. Qualitative research. Hamburg fieldwork. CONACYT fellow.

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Research Methodology

M.A. Pedagogy UNAM. B.A. German Literature UNAM. Scopus peer reviewer (9 formal dictámenes). Vandergrift, Gadamer, Krashen, Borg — applied, not cited.

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Systems Engineering

B.Sc. Web Systems Development UdeG (98.5 GPA). Domain-Driven Design. Zod contracts. Chaos engineering. ADRs. Supabase. TypeScript. Vercel.

The intersection: a Learning Systems Architect who writes Zod schemas for pedagogical domains and publishes in Scopus-indexed journals. One person.

Featured Project

huhuGERMAN

A pedagogical platform and research system. Not a toy project — used by 30–40 real students per trimester at UAM Azcapotzalco since 2022.

Production ● Live Repos Archived

Domain-Driven German Language Learning Platform

huhuGERMAN introduces authentic German documentary content (Y-Kollektiv, funk/ARD) from A1 level — directly challenging the field consensus that recommends delaying authentic materials until post-A2. The platform operationalizes the distinction between global comprehension (understanding general topics) and selective comprehension (recognizing specific structures).

"La IA ya no decide: obedece al dominio." — ADR núcleo, 2025

The critical architectural decision: the pedagogical domain (what has been taught, what is forbidden to correct, under what conditions) is formalized as typed Zod schemas and becomes the single source of truth. The AI does not decide what to correct. It executes the domain's rules. This eliminates inconsistent feedback, prompt engineering magic, and the silent technical debt that accumulates when grammar knowledge lives only in the teacher's head.

Astro TypeScript Zod Supabase PostgreSQL DeepSeek AI Vercel Google Apps Script SHA-256 Identity Domain-Driven Design

→ huhugerman.com → CSE Diagnostic Demo GitHub: Portal GitHub: Identity Engine

Architecture Decision Record

Why the ADR arrived late — and what that teaches

The huhuGERMAN ADR was written after the MVP, not before. That honesty is deliberate. A system that documents its decisions retroactively understands something a system that never documents them never will.

2022 — MVP

Endpoint + AI + implicit context

Validated the flow: student submits → AI gives feedback. Proved the pedagogical hypothesis. But context lived in the teacher's head, not the system. The AI corrected Perfekt for students in week 2. System not governable.

2024 — Friction Discovery

Domain-level misalignment surfaces

Students reported confusion from feedback on grammar they hadn't seen. This was not a bug. It was a missing domain contract. "When a system depends on human judgment to not break, it's not a product."

2025 — ADR Written

Pedagogical domain as typed source of truth

WochenKontextSchema formalizes gesehen / nicht_gesehen / korrektur. prompt-builder constructs prompts from domain. AI obeys, not decides. Zod validates at every boundary. JSONB snapshots enable future audit.

2026 — Academic Publication

Targeting Die Unterrichtspraxis / System (Elsevier Q1)

The system becomes evidence for the research trajectory: thesis (2020) as diagnostic phase, huhuGERMAN as intervention phase.

Academic Credentials

15 years of verifiable evidence

Three degrees. One research publication origin. Nine Scopus peer review dictámenes. Field research in Hamburg. All verifiable.

UNAM · 2020 · CONACYT

M.A. Pedagogy

"Teacher training for German instructors: comparative study Mexico–Germany." Field research at Universität Hamburg, 2019. Daniel García, partner 21 years, as primary manuscript reviewer.

UNAM · 2015

B.A. Modern German Language & Literature

Thesis: Metacognitive strategies for listening comprehension in German. First application of Vandergrift's framework at CELE-UNAM (2015). Published article → huhuGERMAN origin (RDU UNAM, 2017).

UdeG · 2025

B.Sc. Web Systems Development

GPA 98.5. TypeScript, React, databases, systems architecture. The technical layer that converts pedagogical knowledge into executable contracts.

Universität Offenburg · 2019

German C1 Certification

TestDaF B2 (2018). C1 oral and written certification (2019). 15 years teaching the language at institutional level. Specialization: Hochdeutsch–Umgangssprache gap and its EdTech implications.

HIER DARFST DU FEHLER MACHEN.

Let's build the intersection.

Looking for roles where DaF expertise, qualitative research, and production-grade systems engineering create compounding value. EdTech, SaaS DACH, AI training data, curriculum architecture, implementation engineering.

Email yassergandhi.dev@gmail.com LinkedIn /in/yassergandhi GitHub /yassergandhi Platform huhugerman.com