Machine Learning Experts in Dusseldorf

Gronic Ident & Sign

Core technologies: Android, Jetpack Compose, Retrofit, Regula Document Reader, Adobe Sign

Android app on dedicated devices for identifications and electronic signatures at the PoS

• Training AI models, evaluating images and text UI/UX, turning the provided data into insights through OpenAI Feather as part of the machine learning workflow

Technologies: OpenAI Feather

• Led end-to-end delivery of ML/AI applications for the QuantistryLab simulation platform, from requirements definition and solution design to development, testing, deployment, and production support, coordinating efforts across back-end, DevOps, and ML teams
• Designed and implemented a compound search system with an open-weights LLM, the Pydantic AI agent framework, and the Model Context Protocol (MCP), exposing it through FastAPI endpoints
• Deployed and configured vLLM-based LLM serving on Kubernetes
• Built CI/CD pipelines and Helm charts to automate deployments across staging and production environments
• Instrumented the search system with OpenTelemetry spans and traces, integrating with the Honeycomb observability platform to monitor component-level latency and functional errors
• Developed a custom evaluation dataset and implemented evaluations for retrieval relevance, answer correctness, tool-call accuracy, and end-to-end task success
• Reduced infrared spectrum prediction time by 83% (from 60 to 10 minutes) by replacing a quantum-mechanical model with a pretrained graph neural network; fine-tuned the model using PyTorch, built and containerized the inference pipeline with Docker, and integrated it into the platform
• Implemented an MLflow model registry with MinIO-backed artifact storage
• Advised sales and science teams on ML/AI applications for prospective client projects, providing technical expertise to shape proposed solutions and prototypes

Technologies: AWS, Hetzner, Kubernetes, Helm, Docker, vLLM, Pydantic AI, MCP, Qwen, Llama 3, MLflow, MinIO, GitHub Actions, Python, FastAPI, OpenTelemetry, Honeycomb, PyTorch, Polars, pytest

• Title: Enhancing Syntactic Awareness in Transformer Language Models for Hindi Dependency Parsing
• Investigated syntactic knowledge captured by transformer language models (RoBERTa, XLM-RoBERTa) for Hindi dependency parsing, a morphologically rich and low-resource language.
• Developed structure-aware model variants (Struct_Roberta_hi, Struct_XLMR) by integrating a CNN-based parser network between transformer layers, inspired by the StructFormer architecture.
• Conducted extensive error analysis including label-wise, distance-based, direction-based, sentence length-based, and LVC/Non-LVC evaluations.
• Evaluated models on downstream NLP tasks (NER, POS tagging) using the IndicXTREME benchmark.

• AI-Enabled Analytics & Reporting: Lead a 2-person BI team, applying predictive analytics and automation to translate complex business requirements into forward-looking insights, recommendations, and financial reports.
• Advanced Data Visualization: Design and maintain 25+ high-impact Power BI/Tableau dashboards tracking company-wide KPIs and trends, structured to support predictive and automated reporting.
• Web Analytics & Insights: Own GA4 tracking and analysis, driving a 15% increase in conversion insight through deeper customer journey analysis.
• Data Pipeline Optimization: Partner with data engineers to redesign and automate data pipeline workflows, cutting manual reporting time by 20% while safeguarding data accuracy and system uptime.

• Consulting on CRM processes and features
• AI infusion workshops to introduce AI apps for critical business processes
• Prototyping – vibe coding with Lovable
• Developing several apps for global bid management in a CPQ, Salesforce and SAP 4 Hana environment
• Requirements and process management
• Introducing a new data governance model
• AI infusion – supporting apps and business processes with AI applications
• Portfolio management of AI ideas: identifying and selecting AI projects in bid management
• Prototyping AI projects with Lovable.dev
• Building an AI data foundation in Snowflake
• Blueprint for various business units and global rollout
• An agile prototype-first approach using Design Thinking and vibe coding to prototype all applications
• Presentation at a global conference on the use of AI in business and validating ideas with Design Thinking & vibe coding
• AI infusion workshops at global conferences to prototype ideas with business stakeholders

• Contributed to the development of an advanced RAG AI Chat application that integrates multiple LLM models, enabling users to seamlessly switch between models based on specific tasks. This improved the user experience by providing tailored, efficient solutions for various use cases, such as event scheduling, booking systems, and complex task management.
• Participated in designing and implementing a robust backend architecture using Spring AI, enabling advanced AI-driven capabilities like intelligent task automation, language processing, and contextual recommendations. Leveraged Spring AI Tools and Advisors to enhance the performance and decision-making of the AI models.
• Collaborated on the integration of vector databases to support embeddings, enhancing the app's ability to understand user queries and perform actions based on complex, real-time data inputs.
• Contributed to the development of a seamless, user-friendly front-end interface using React with TypeScript support, ensuring a modern, responsive, and scalable user experience across platforms.
• Assisted in implementing state management with Redux RTK for efficient data flow and real-time updates, optimizing the overall user experience in dynamic scenarios such as scheduling and task management.
• Partnered with stakeholders to define feature requirements, helping ensure that the app could scale to meet evolving business needs and integrate with other systems like calendar and email services. Worked alongside cross-functional teams, including data scientists and UI/UX designers, to fine-tune AI models and ensure alignment with project goals.
• Contributed to ensuring end-to-end system performance, security, and compliance by helping integrate authentication mechanisms, role-based access control, and secure communication protocols in both backend and frontend layers.

Technology Stack and Key Contributions:

• Java / Spring Boot / Spring AI: Developed backend services leveraging Spring AI for intelligent responses, task automation, and complex workflows.
• React / TypeScript: Built intuitive user interfaces with React and TypeScript, ensuring a smooth and scalable frontend.
• Redux RTK: Managed application state with Redux RTK for optimized state management, enabling dynamic, real-time data updates.
• Vector Databases: Integrated vector databases (pgVector) for embedding support, improving AI model performance in handling complex queries.
• PostgreSQL / Redis: Managed persistent and temporary data with relational and in-memory data stores, ensuring data integrity and speed.
• Kafka: Utilized Apache Kafka for event-driven communication and seamless integration between microservices.
• Spring Security: Ensured the security of backend services with robust authentication and authorization mechanisms.
• CI/CD & DevOps: Integrated continuous integration and deployment pipelines to ensure rapid and secure deployment of features and updates.

• Design and implementation of an OCI-based DWH and ETL system to replace legacy mainframe applications
• Development of a database optimization strategy and planning the rapid conversion of JCL and COBOL routines to PL/SQL with the help of AI
• Development of an Oracle Apex-based app for internal administrative processes in the public sector (office equipment, employee training)
• Implementation of PL/SQL workflows for approval processes and creation of a responsive mobile version with JavaScript and CSS
• Use of Azure DevOps for backlog and documentation, as well as Git for version control
• Development of REST interfaces for CRM systems
• Replacement and reprogramming of Oracle Forms screens with Oracle Apex and upgrading to the latest Apex versions
• Design of a Git branching strategy and conducting code reviews
• Maintenance and further development of an EDI-based data exchange system based on Oracle Advanced Queuing for the public sector in Austria
• Data analysis and creation of charts in the Oracle Apex frontend; installation of standalone ORDS and Apex 23.1
• Agile working according to the Spotify Model; development of complex Apex screens with the support of Oracle JET
• New development and customization of existing PL/SQL packages, workarounds for database version differences and query optimization
• Development of Apex applications for broker pools to manage and optimize Oracle databases in the banking sector, including SSO-based authorization systems with OAuth2 and Keycloak
• Development of extensive Oracle Apex applications for BI and data mining modernization projects, as well as development of manual and automated projection methods in the frontend
• Implementation of data warehousing projects in the banking sector and use of Scrum and Kanban in team-oriented projects

• Define EMEA ISV Go-to-Market strategy to push indirect SaaS sales
• Solve customer problems with AI embedding into new use cases and solutions
• Build partner ecosystem and sell partner solutions to drive platform consumption
• Enable cross-functional teams on AI use cases implementation
• Manage a cross-functional team of 7 FTE
• Built EMEA partner originated pipeline from scratch with 70 mn€ TCV and 20 mn€ ARR growth sales with cloud-based and hybrid solutions
• Increased co-sell rate from 20% to 40% and co-delivery rate from 25% to over 50%

• Operating Model Design: Designed and rolled out a 3-tier AI Governance Operating Model, defining organizational structures, roles, tooling, guidelines and processes across Corporate, Business Units, and Implementation layers to manage compliance for 200,000+ employees.
• EU AI Act Compliance: Led the strategic screening and risk classification of 3,800+ AI applications, implementing automated assessments for prohibited practices and General Purpose AI (GPAI) requirements.
• Enterprise Roll-out: Orchestrated the deployment of an internal GPT platform and Generative AI tools, defining the value proposition and adoption strategies for 10,000+ users.
• AI Literacy Architecture: Designed a modular AI training framework to transition the workforce from legacy manual workflows to AI-assisted processes.
• Executive Storylining: Developed strategic narratives for the CIO and Board to secure buy-in for AI investments, translating technical model performance into business-value summaries.
• PMO Infrastructure: Built the end-to-end PMO infrastructure using Jira, Confluence, and Azure Boards to track transformation progress and cross-entity dependencies.

• Conduct data management and statistical analysis for clinical studies on behalf of CROs.
• Guest lecturer at Ivancity University, Paris, specializing in data anonymization techniques and statistical disclosure control.
• Provide scientific and medical writing services for pharmaceutical companies.
• Perform optical mapping data analysis and develop software tools with a focus on algorithm optimization and technical support.

• Patent application: European patent drafting and prosecution
• LLM practicing: Developed LLM-based tools for automated patent data retrieval, applying Python scripting to accelerate technical reviews.

• Redesign of the “Hessian Platform for Migration and Refugees”
• Technologies: C#, .NET 8.0, ASP.NET WebAPI, Blazor
• Architecture principles: Domain Driven Design, Mediator Pattern, Outbox Pattern, IOSP, Clean Code
• Methodologies: SCRUM, coaching, team lead

• Development of the SmartHub platform for RepairX.io (iOS app & web)
• Development of an AI-powered (clinical decision support) patient management platform for the Malteser Hospital to provide care for uninsured patients
• Development of a retrieval-augmented generation (RAG) system for the intelligent processing of medical data for ASCEND gGmbH
• Design of an AI-powered system for emotion analysis of guests and development of AI agents for automated accounting and compliance checks
• Planning of the RepairX.io platform (circular economy) and management of a DAO Hyperledger blockchain system for NGOs
• Development of internal audit systems for AI ethics violations in healthcare (according to the EU AI Act)