Selected Work — Jorge Aguilar

01 · Featured case study

Nexio Fleet — Building compliance-native product for Berlin PHV fleets.

Strategy, operations and product at an early-stage compliance SaaS. I translated regulatory frameworks (LABO, PBefG) into product specifications, ran field discovery with fleet operators and drivers, and built the systems that make compliance measurable.

Product ownership. Specs for the Driver App and Fleet Dashboard, QA across iOS, Android and web, and structured feedback loops between operations and engineering.
Compliance at scale. The framework underpins compliance for 800+ active drivers across 8 fleet operators in Berlin and Brandenburg.
Automation. Manual reporting effort down 60–70% via Python pipelines integrating Uber and Bolt platform data.

2025 — Present · Co-founder · 6+ months

Read the case study

Reference letter on file from Aleksander Boski, CEO and co-founder of Nexio Fleet GmbH.

Fleet dashboard — abstract representation

02 · Featured case study

Alcorte Alemán — Running a 50-year-old butcher shop through WhatsApp.

An AI order-management system for a family butcher shop in Mexico City, designed around a single constraint: the operator never opens a dashboard. WhatsApp is not a channel bolted onto the product — it is the entire product surface, for customers and owner alike.

Constraint-driven architecture. “No dashboard” treated as the specification rather than a limitation to work around.
Production integration. Meta WhatsApp Business API, Vercel, Supabase RLS and a Claude agentic loop with tool calling, wired end to end against live data.
Scale. 120+ products across 1000+ customers, with row-level security keyed on vendor_id so the schema is multi-tenant from day one.

2025 — Present · Side project · Solo build

Read the case study

Private repository, 2FA-enforced. Reference details on request.

WhatsApp system flow

03 · Featured case study

Wolt — Turning courier gear from a purchase into a loop.

Courier equipment at Wolt Germany was bought once per hire and never came back: the cost curve tracked hiring and turnover rather than active courier count. I redesigned the lifecycle from linear to circular — recovery at offboarding, refurbishment in Berlin, and a recycling route for gear that could not be saved.

Lifecycle redesign. Four intervention points: offboarding recovery, financial accountability for missing items, warehouse refurbishment, and downstream recycling via TARPREC through Wolt HQ Denmark.
Nationwide rollout. Gear return embedded into offboarding across 6 German cities covering 2,000+ courier partners.
Result. 30% reduction in equipment procurement spend, first 12 months against the following 12 post-implementation.

2021 — 2022 · Operations Associate · Nationwide

Read the case study

Reference letter on file from Wolt, available via the Certificates section.

Circular gear lifecycle

04 · Featured case study

Bolt — Rebuilding a driver activation funnel nobody could see inside.

Driver activation at Bolt Rides in Southern Germany was a single number reported weekly: around 25%, with no visibility into which step drivers stalled at. I built the in-app instrumentation to see the funnel stage by stage, then designed interventions against each specific leak.

Instrumentation first. In-app analytics measuring drop-off per stage — registration, upload, verification, activation, first ride — replacing a weekly aggregate that hid the leak.
Diagnosis. Five friction points: manual document review, generic communication, duplicate account blocks, language barriers, and deprioritised long-tail fleets.
Result. Activation moved from 25% to 58% in six weeks across 1,000+ registrations.

2023 · Operations Specialist · 6 weeks

Read the case study

Contribution split and specific figures available on request.

Activation funnel — stage widths illustrative

05 · Featured case study

Bliq — Rebuilding fleet supply in a market that already had incumbents.

Drivers and fleets already belonged to Uber and Bolt. Incentives bought activation and never bought retention: fleets switched on for a bonus, and switched back when it ended. I designed an Earnings-per-Hour model with a service-level agreement attached, piloted with one fleet before it went near the network.

The fleet insight. Operators wanted predictability, not bigger bonuses — short campaigns made vehicle planning impossible, so the model committed to earnings across the low season.
SLA as the mechanism. The guarantee was conditional: >90% acceptance, ≤10% cancellations and availability at peak, so subsidised supply became actual capacity.
Attribution. I owned the pilot design, the SLA, the budget and the rollout call; the 4.6× driver growth over the period is a company-level result the pilot contributed to.

Jul 2024 — Jul 2025 · Supply Operations Manager · 12 months

Read the case study

Reference letter on file from Bliq, available via the Certificates section.

Supply flywheel — SLA keeps it turning

06 · Self-directed project

Marketplace Strategy & Analytics — European Premium Mobility

A self-directed analytical project applying my framework to a multi-city premium ride marketplace. Demonstrates how I approach growth strategy, partnership accountability, and quality economics at marketplace scale.

BD strategy across regions. Growth-market selection through explicit filter gates — partnership-channel markets (airline-driven, Southern Europe) and direct-customer markets (Western Europe).
Customer-facing analytical dashboards. Built in Python, Streamlit and Plotly — operational telemetry, partner performance, segment economics, and quality-vs-margin views.
Quality Contribution Index. Penalty-adjusted contribution metric translating quality failures into a per-ride P&L number.

2026 · Self-directed · Premium mobility sector

Full project detail available on request.