ermbrecht.rindtorff / cv.md

Ermbrecht
Rindtorff

I take ownership and translate GenAI solutions into enterprise value -- from whiteboard demo to compliance-approved production.

~/ id_card
roleSenior Consultant
orgDeloitte
teamAI & Data Analytics
backgroundMathematician
linkedin/in/ermbrecht ↗
impact in numbers
38
People orchestrated across two agile teams to land on-time delivery inside a 200-person conversational-AI program.
// delivery · cross-team alignment
9/9
Control function approvals secured — full deployment-ready sign-off for a enterprise-grade GenAI chatbot.
// compliance · regulatory translation
−80%
Reduction in legislative review effort via a 48-hour AI policy-analysis prototype.
// coalition agreement · GenAI extraction
−30%
Lower fleet monitoring costs through a quantitative risk-tolerance decision model.
// optimization · decision modeling
stations

Career timeline

Senior Consultant - AI & Data Analytics

Deloitte
↑ Promoted from Consultant · Jun 2026
May 2024 — present
  • Won GenAI chatbot deployment approval from all 9 control functions by translating technical architecture into bank-grade compliance arguments and converting regulatory skeptics into sponsors.
  • Demonstrated an 80% reduction in legislative review effort by scoping, building, and presenting a working GenAI policy-analysis prototype to senior stakeholders within 48 hours.
  • Delivered the MVP of a 200-person conversational-AI program on time by orchestrating 38 people across two agile teams and aligning architecture priorities across business, QA, development, and delivery partners.
  • Cut fleet monitoring costs by 30% by translating business risk tolerance into a quantitative optimization-based decision model and presenting the trade-offs to decision-makers.
  • Secured full sign-off across 19 projects during a corporate spin-off by designing and leading a structured handover process across all organizational levels.

Data Scientist - Working Student

Charité — Universitätsmedizin Berlin
Mar 2023 — Dec 2023
  • Improved model sensitivity by 6% without sharing raw patient data by implementing federated learning and differential privacy across healthcare partners and presenting the privacy architecture to non-technical stakeholders.

Assisting Lecturer

Freie Universität Berlin
Oct 2020 — Sep 2021
  • Taught Python data analysis to 40+ students across two semesters by designing and delivering lectures from fundamentals through exploratory analysis and visualization.

Teaching Assistant

NVIDIA
Oct 2020 — Dec 2020
  • Upskilled 60+ industry participants in deep learning by delivering multiple one-day workshops with live demos and Q&A on computer vision, transfer learning, and language models.

Data Scientist - Intern

Charité — Universitätsmedizin Berlin
Sep 2020 — Nov 2020
  • Established the evaluation benchmark for subsequent ML models by developing a geometric algorithm for caries classification.
projects

Selected projects

Built outside of work to give startups lean, tailored solutions where off-the-shelf platforms add bloat and cost.

// 01 — consignment

Digitalized consignment tracking and monthly settlements

Built a platform for a retail startup that issues each seller a 16-digit code to track item status and generates automated monthly settlements — replacing a manual pen-and-paper workflow with a transparent and auditable system.

private sold
// 02 — logistics

Cut package costs by 30% with a custom shipping pipeline

Built a Python order-to-shipment pipeline for an retail startup that bypassed costly platform integrations, automated label generation and fulfilment, and lifted net margins per package.

private sold
// 03 — commerce

Automated end-to-end live shopping on Instagram

Designed and launched a live-shopping flow from product presentation to order tracking and fulfilment — turning a manual pen-and-paper process into a scalable weekly sales operation.

private sold
foundation

Education, expertise & credentials

Education

M.Sc. Mathematics
Freie Universität Berlin
2021 — 2024 Thesis 1.7 · Final 2.0
B.Sc. Mathematics
Freie Universität Berlin
2017 — 2021 Thesis 1.7 · Final 3.0
// languages
Germannative
EnglishC1 / C2 — fluent in business

Core expertise

Customer-facing & solutioning
  • Technical storytelling & executive communication
  • Use-case discovery & solution scoping
  • Demo & rapid prototype delivery
  • Regulatory & compliance translation (banking, GDPR)
  • Stakeholder alignment across business, IT, and risk functions
  • Agile delivery & product ownership
Technical stack
  • Platforms: Google Cloud, Databricks
  • GenAI: Claude Code, LangChain, HuggingFace, Pinecone, MCP
  • Data: Python, SQL
  • Tooling: Jira, Confluence

Certifications

  • GCP Google Cloud - Associate Cloud Engineer
  • DBX Databricks - Generative AI Engineer Associate
  • SEC CompTIA Security+
  • PSM Professional Scrum Master (PSM I)
playground

Labs

Side projects I build for fun — live and clickable.

// 01 — cvmatcher

Matches a CV against any job posting

Surfaces fit and gaps in seconds, so you know exactly if it is worth applying for the vacancy.

visit
// 02 — vimbert

Teaches Vim from zero, interactively

Turns Vim's infamous learning curve into guided, hands-on practice.

visit
// 03 — exam-copilot

Turn any exam into practice — just drop in JSON

Converts a question set into a repeatable practice exam. Study by doing.

visit