Francesco R.-Senior AI/ML Engineer | LLM Systems & Software Engineering
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Experience
Senior AI & Software Engineer
Trenkwalder GmbH
- Co-own the architecture and development of enterprise-grade AI and backend systems spanning communication automation, embedding-based candidate matching and talent-pooling workflows; shape product and feature direction across business, compliance and technical implementation.
- Design and implement production-grade AI pipelines and multi-step LLM workflows, including orchestration, prompt and context engineering, LLM routing and assessment, and integration with internal services and business data.
- Co-own the core candidate-matching system, leveraging vector embeddings and cosine similarity within internal ingestion and attribute-derivation pipelines.
- Drive the architecture and evolution of the candidate-pooling system, including its LLM-based routing and assessment layer.
Senior AI & Software Engineer
Maximizer.io (Hello Internet GmbH)
- Own end-to-end feature development across a Svelte/TypeScript frontend and Golang backend for data-intensive ad-tech and traffic systems.
- Contributed to the development and evolution of a Gemini-based AI evaluation pipeline used to assess advertisement compatibility with Google advertising guidelines.
- Contributed to shaping the underlying AI infrastructure and integration architecture, including how model-driven evaluation is incorporated into production workflows.
- Implemented concurrent processing in Go to support scalable, high-throughput AI evaluation and data-processing workloads.
- Own delivery from data modeling and API design through backend implementation, type-safe frontend integration and production rollout.
- Work in a performance-sensitive production environment where observability, scalability and reliability are core engineering concerns.
Tech Lead
- Developed and deployed a real-time browser game optimized for high frame-rate rendering (~200 FPS on desktop and mid-to-low tier mobile devices alike). Designed performance-sensitive rendering and interaction systems with strong focus on frame stability, responsive controls, and clean frontend architecture.
Senior AI & Frontend Consultant / Project Lead
gipedo GmbH
- Led frontend technical direction across a distributed TypeScript, Vue and Go environment, owning architecture, engineering standards and long-term maintainability across multiple projects.
- Shaped the team's AI-assisted engineering culture, including tooling choices, review practices and quality standards for AI-generated code; mentored junior engineers in evaluating generated solutions, identifying flawed abstractions and distinguishing technically sound implementations from superficially plausible output.
- Drove frontend maturity through code reviews, mentoring, refactoring and architectural guidance, establishing idiomatic Vue and TypeScript patterns around state management, component design and type safety.
- Designed and implemented a centralized notification system informed by AI-assisted analysis and iterative review, informing the user on potential actions to take to optimize the scheduling of their advertisement runs.
- Built foundational frontend systems including a Canvas-based media composition and playback interface for assembling, inspecting and validating segmented media assets in large-scale sports display environments.
Project Lead / Senior Software Engineer / Product Owner
Metro Deutschland GmbH
Sales & Samples – Built a greenfield platform to digitize and centralize Metro's sample-article and sales-action workflows across multiple business domains. Introduced bulk customer targeting, analytics, sentiment analysis, and conversion tracking, helping drive a 30% increase in sample-to-sale conversion while replacing fragmented manual processes with a scalable internal workflow.
Connect Portal – Enhanced a legacy invoicing platform for large customer groups with collective billing requirements, centralizing billing requirements management and saving hundreds of hours of coordination and communication time between Metro and customer groups. Delivered UX improvements and implemented features required to support evolving legal and business requirements.
Developer Portal – Helped build a greenfield internal platform that centralized and standardized cron job scheduling and execution across internal applications. Replaced inconsistent environment-specific behavior with a unified execution model, ensuring jobs behaved predictably across local and Kubernetes-based deployments. Increased transparency into background processes across systems, shortening communication paths and improving operational efficiency.
Project Lead / Senior Software Engineer
EduTech
- Led the greenfield development of a 3D educational platform for programming education deployed across a cohort of schools. Designed and implemented immersive, game-like learning experiences using Three.js, React Three Fiber, PixiJS, WebGL, and Canvas, translating abstract programming concepts into visual and interactive environments. Established the frontend architecture and rendering approach from the ground up, with a strong focus on performance, responsiveness, and cross-device usability. Integrated the platform into a wider digital curriculum ecosystem, helping drive higher student engagement and increased enrollment after live demonstrations.
Trenkwalder GmbH
- Lead development of Trenkwalder's Python-based communication backend, enabling reliable asynchronous communication across AI services and conventional backend and frontend systems, with a strong focus on scalability, reliability and maintainability.
- Co-own the Next.js/React frontend architecture and performance, including the integration and development of AI-driven product capabilities such as conversational AI interfaces.
Freelance AI & Software Engineer / Consultant
Built and delivered AI/ML-enabled and fullstack software systems, owning engagements from requirements, data and technical scoping through architecture, implementation, model integration, deployment and production iteration.
- Generative AI & LLM Engineering: Design and implementation of production-oriented LLM applications, multi-step AI pipelines, agentic workflows, tool-enabled systems and automated decision flows. Experience with LangGraph, LangChain, prompt engineering, context engineering, structured outputs, routing, orchestration and model/API integration
- Transformers & Natural Language Processing — Hands-on work with the Transformer ecosystem and Hugging Face tooling, including transformer-based models, tokenization, embedding generation and downstream NLP workflows. Applied NLP techniques across semantic representation, text classification, information extraction, similarity analysis and language-driven automation
- Embeddings, Semantic Search & Matching: Development of systems based on vector embeddings, cosine similarity and semantic representations for matching, ranking, retrieval and recommendation-style use cases; integration of embedding-based logic into wider ingestion, enrichment and decision pipelines.
- Data Engineering & AI Data Pipelines: Design of pipelines for data ingestion, preprocessing, normalization, enrichment, attribute derivation and transformation of structured and unstructured data for downstream ML and LLM systems. Experience connecting AI processing to relational, document-oriented and application data sources
- Machine Learning & Applied ML Systems: Applied machine-learning techniques for classification, similarity, ranking, matching, scoring and automated assessment, combining conventional ML/data-processing approaches with transformer and LLM-based components where appropriate
- Agentic & Autonomous Workflows: Development of stateful, multi-stage AI workflows involving conditional routing, model selection, tool/API interaction, iterative processing and deterministic application logic around non-deterministic model outputs
- AI Evaluation & Production Engineering: Evaluation and iteration of AI systems around output quality, correctness, latency, reliability and maintainability, including model/prompt comparison, error handling, retries, fallback strategies and integration of AI components into conventional production architectures
- Multimodal & Generative Media: Hands-on experience with generative image pipelines and diffusion models, including Stable Diffusion/SDXL, ComfyUI, LoRA, ControlNet, image-to-image, inpainting and structured generation workflows, alongside AI-assisted generation of assets for interactive and 3D applications
- AI-Enabled Application Architecture: Integration of AI/ML functionality into complete products using Python, TypeScript, Node.js and Go, with frontend delivery across React, Next.js, Vue and Svelte, rather than treating model functionality as isolated prototypes
- Production Data & Backend Engineering: Development of supporting services and data architectures using PostgreSQL, MongoDB, Redis, REST, GraphQL, WebSockets and asynchronous processing, enabling AI systems to operate within scalable, maintainable application environments
- Technical Consulting & End-to-End Ownership: Direct collaboration with stakeholders to identify viable AI use cases, translate ambiguous business requirements into technical systems and own delivery from concept and architecture through implementation, integration and release.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Retail, Education, Professional Services, Advertising, and Sport.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Product Development, Project Management, and Sales.
Summary
Senior AI/ML and Software Engineer with enterprise-grade technical leadership and ownership experience across AI, backend, frontend and fullstack engineering.
Designed, drove and implemented production-grade AI pipelines and AI-enabled systems, while mentoring technical and non-technical stakeholders in their adoption, development and usage.
Owned highly complex, business-critical software systems from greenfield architecture through integration and production delivery, spanning e-commerce, invoicing, advertisement tech, HR tech and 3D software.
Significant experience in technical leadership, business impact, mentoring, code reviews, performance assessments, engineering standards and architectural decision-making.
Skills
- Artificial Intelligence (Ai)
- Machine Learning (Ml)
- Ai Engineering
- Machine Learning Engineering
- Generative Ai
- Large Language Models (Llms)
- Llm Engineering
- Production Ai Systems
- Ai Integration
- Llm Integration
- Ai Pipelines
- Ai Automation
- Agentic Ai
- Ai Agents
- Agentic Workflows
- Langgraph
- Langchain
- Prompt Engineering
- Context Engineering
- Ai System Design
- Ai Orchestration
- Model Integration
- Python
- Matching Algorithms
- Natural Language Processing (Nlp)
- Typescript
- Javascript
- Node.Js
- Go
- Backend Development
- Backend Architecture
- System Design
- Fullstack Development
- React
- Vue.Js
- Svelte
- Frontend Development
- Frontend Architecture
- Rest Apis
- Graphql
- Websockets
- Grpc
- Microservices
- Sql
- Postgresql
- Mongodb
- Redis
- Authentication
- Oauth
- Jwt
- Ci/Cd
- Github Actions
- Docker
- Kubernetes
- Aws
- Nginx
- Linux
- Performance Optimization
- Observability
- Debugging
- Unit Testing
- Integration Testing
- End-To-End Testing
- Jest
- Cypress
- Playwright
- Git
- Technical Leadership
- Engineering Leadership
- Mentoring
- Code Reviews
- Design Systems
- Vite
- Webpack
- Three.Js
- Webgl
- Canvas
- Pixijs
- React Three Fiber
- Real-Time Rendering
- Rendering Optimization
- Interactive Web Applications
Languages
Education
German School of Milan
German and Italian High School Diploma · Milan, Italy
IU International University of Applied Sciences
B.Sc. · Computer Science · Germany
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Francesco speaks the following languages: German (Advanced), English (Advanced), Italian (Advanced).
Francesco has at least 11 years of experience. During this time, Francesco has worked in at least 5 different roles and for 5 different companies. The average length of individual experience is 2 years and 6 months. Note that Francesco may not have shared all experience and actually has more experience.
Based on recent experience, Francesco would be well-suited for roles such as: Senior AI & Software Engineer, Tech Lead, Senior AI & Frontend Consultant / Project Lead.
Francesco's most recent position is Senior AI & Software Engineer at Trenkwalder GmbH.
In recent years, Francesco has worked for Trenkwalder GmbH, Maximizer.io (Hello Internet GmbH), gipedo GmbH, Metro Deutschland GmbH, and EduTech.
Francesco is most experienced in industries like Information Technology, Retail, and Education. Francesco also has some experience in Advertising, Professional Services, and Sport.
Francesco is most experienced in business areas like Information Technology, Product Development, and Project Management. Francesco also has some experience in Sales.
Francesco has recently worked in industries like Information Technology, Retail, and Education.
Francesco has recently worked in business areas like Information Technology, Product Development, and Project Management.
Francesco holds a Bachelor in Computer Science from IU International University of Applied Sciences.
Francesco will be available full-time from November 2026.
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