cv: name: Daniel Fridljand photo: ../../images/fridljand_daniel.jpg website: https://danielfridljand.de email: daniel.fridljand@gmail.com social_networks: - network: LinkedIn username: daniel-fridljand - network: GitHub username: FridljDa sections: summary: - "AI engineer building production systems in Python and Rust. Ramping into a new technical and stakeholder domain within months. Proudest work to date is an agentic customer-support system I took from discovery to live production as the sole engineer — automating ~87% of B2C traffic since April 2026." software_development_experience: - company: TNG Technology Consulting position: Software Consultant - Applied AI location: Munich, Germany start_date: 2025-12 end_date: present summary: "Building and owning production AI systems for enterprise clients, from customer discovery through live operation." highlights: - "Architected a hybrid AI-system: deterministic paths for the recurring-intent majority, agentic fallback for the long tail. Shadow-deployed so every response was staff-reviewed before customer contact." - "Built an AI-assisted improvement loop: reviewer feedback became shipped code changes, each gated against a growing Langfuse eval suite. " - "Leading development of a privacy-first desktop AI agent (Tauri/React frontend, Rust backend) that lets non-technical staff run agentic workflows over sensitive local files. Hardened for a month until it survived an adversarial 15 person red-team, then rolled out to the internal department." - "Shipped an automated privacy-sensitive review service to Kubernetes. Used by partners to validate customer offers." - company: TNG Technology Consulting position: Software Consultant - Enterprise Modernization location: Munich, Germany start_date: 2024-12 end_date: 2025-12 summary: "Platform engineer on a multi-team program modernizing a global supply-chain application." highlights: - "Deployed a JFrog Artifactory proxy in three days after the work had been repeatedly postponed as too costly, cutting a recurring CI step from eight hours to 30 seconds — saving each developer ~1–2 hours a week." - "Added OWASP dependency scanning to the Jenkins pipeline and built Grafana dashboards over Prometheus metrics, giving stakeholders visibility of CVE reduction throughout the migration." data_science_experience: - company: Stanford University School of Medicine position: Research Data Analyst - Environmental Epidemiology location: Palo Alto, USA start_date: 2023-07 end_date: 2023-12 summary: "Statistical analysis and data tooling for a national study of air pollution and mortality inequality." highlights: - "Led the statistical analysis as co-first author of a [*Nature Medicine* paper](https://www.nature.com/articles/s41591-024-03117-0) (2024), which found that over half the Black–White age-adjusted mortality gap in the US is attributable to fine-particulate air pollution." - "Built a reproducible pipeline integrating 63M+ death records with pollution estimates and demographic data; open-sourced the analysis code and interactive R Shiny explorer." - company: European Molecular Biology Laboratory (EMBL) position: Research Data Analyst - Statistical Genomics (Master's Thesis) location: Heidelberg, Germany start_date: 2021-10 end_date: 2022-05 summary: "Research on multiple-testing methods for large-scale genomics." highlights: - "Developed IHW-Forest, a random-forest hypothesis-weighting method with its splitting and weighting logic written in C++ via Rcpp — it recovered over 30% more discoveries than standard corrections." education: - institution: University of Heidelberg area: Mathematics degree: M.Sc. location: Heidelberg, Germany start_date: 2020-10 end_date: 2023-05 highlights: - "Grade: 1.0. Exchange studies at Yale and Hebrew University of Jerusalem." skills: - label: Stack details: "Python (PydanticAI, Temporal, FastAPI), Rust, Java, TypeScript/React, C++" - label: Systems and delivery details: "Kubernetes, ArgoCD, Jenkins, Grafana/Prometheus, ELK, Temporal, Langfuse" design: theme: sb2nov page: size: us-letter top_margin: 1.5cm bottom_margin: 1.5cm left_margin: 1.5cm right_margin: 1.5cm show_footer: false show_top_note: true colors: body: rgb(0, 0, 0) name: rgb(0, 0, 0) connections: rgb(0, 0, 0) section_titles: rgb(0, 0, 0) links: rgb(0, 79, 144) footer: rgb(128, 128, 128) top_note: rgb(128, 128, 128) typography: line_spacing: 0.6em alignment: justified date_and_location_column_alignment: right font_family: New Computer Modern font_size: body: 10pt name: 30pt bold: name: true section_titles: true links: underline: true show_external_link_icon: false header: alignment: center photo_width: 2.5cm space_below_name: 0.3cm space_below_connections: 0.3cm connections: show_icons: true display_urls_instead_of_usernames: false separator: '' space_between_connections: 0.5cm hyperlink: true section_titles: type: with_full_line line_thickness: 0.5pt space_above: 0.3cm space_below: 0.1cm sections: allow_page_break: true space_between_regular_entries: 1.2em entries: date_and_location_width: 4.15cm side_space: 0.2cm space_between_columns: 0.1cm allow_page_break: true short_second_row: false summary: space_above: 0cm space_left: 0cm highlights: bullet: ◦ nested_bullet: '-' space_left: 0.2cm space_above: 0.15cm space_between_items: 0.05cm space_between_bullet_and_text: 0.5em templates: one_line_entry: main_column: '**LABEL:** DETAILS' education_entry: main_column: |- **INSTITUTION** *DEGREE in AREA* SUMMARY HIGHLIGHTS degree_column: '' date_and_location_column: |- *LOCATION* *DATE* experience_entry: main_column: |- **POSITION** *COMPANY* SUMMARY HIGHLIGHTS date_and_location_column: |- *LOCATION* *DATE* publication_entry: main_column: |- **TITLE** AUTHORS URL (JOURNAL) date_and_location_column: DATE locale: language: english settings: current_date: '2026-07-29' bold_keywords: []