I'm Nicolas Schneider
I’m a Consultant at 4brands Reply. I design and build CRM, integration, analytics, and AI solutions with Salesforce Consumer Goods Cloud and Microsoft Azure/Fabric. My background in applied mathematics and machine learning helps me connect the technical details with the problem a business needs to solve.
Latest article · 06 Sep 2026
What happens when AI helps build the next AI?
Faster chips could do more than speed up a chat. They could shorten the wait for the next generation of AI—and leave us less time to catch up.
Read articleFeatured Projects
AI Weather Classification
An implementation of a convolutional neuronal net with pytorch to classify weather conditions from pictures
Linear Regression & Neuronal Network
A full-stack application for training and visualizing a linear regression model and a neuronal network using C++, Node.js, and React.
Simplex
A python implementation of the Simplex algorithm to solve linear optimization problems. With a streamlit interface and additional features for visualization (also sensitivity analysis) and a LLM integration.
My Journey
Since July 2025, I’ve worked as a Consultant at 4brands Reply, following a working student role with the same team. My work combines CRM development, data integration, analytics, and AI.
Before that, I worked on language models at Diamant Software and researched multimodal data integration for industrial maintenance at Fraunhofer IPT. Alongside client work, I explore machine learning and optimization through my own projects.
Skills & Expertise
My work spans Salesforce applications, data pipelines, and AI services—from business workflows and API design to deployment, testing, and model evaluation.
Salesforce & CRM
Build CRM interfaces and workflows, connect external services, and validate business rules in Salesforce.
- Consumer Goods Cloud
- Apex & SOQL
- Lightning Web Components
- Salesforce Flows
- REST & Bulk APIs
- Power BI embedding
Data Engineering & Analytics
Build SQL-backed integration pipelines and Fabric lakehouse transformations, including incremental loads and data reconciliation.
- Azure Data Factory
- Azure SQL / T-SQL
- Microsoft Fabric
- Delta Lake
- ETL / ELT
- Stored procedures
Backend & Integration
Develop APIs and background workers with durable queues, retries, idempotency, and transactional data updates.
- TypeScript / JavaScript
- Node.js & Express
- C# / .NET
- PostgreSQL
- OAuth 2.0
- Asynchronous processing
Applied AI & Document Processing
Integrate vision models into document workflows with structured extraction, schema validation, and human review. Apply a background in language models and multimodal RAG.
- Vision-language models
- Structured outputs
- JSON Schema
- RAG & LlamaIndex
- PyTorch & Transformers
- Python
Local AI & Model Evaluation
Set up local inference environments and benchmark answer quality, tool calling, throughput, and latency. Run QLoRA experiments and compare results against the base model.
- vLLM
- LiteLLM
- QLoRA / Unsloth
- LLM benchmarking
- Docker Compose
- Grafana & Prometheus
Cloud Delivery & Reliability
Package and deploy API and worker services, build delivery pipelines, and verify changes with automated tests and operational checks.
- Azure Container Apps
- Azure Service Bus
- Azure Blob Storage
- Key Vault & managed identity
- Azure DevOps pipelines
- Terraform
- Git & Docker
- Apex tests & Jest
Further technical foundations: applied mathematics and optimization, C++, MATLAB, pandas, NumPy, scikit-learn, data visualization, Elasticsearch, React, and HTML/CSS.
Latest Blog Posts
What happens when AI helps build the next AI?
Suppose the next generation of AI arrives six months early because the current one helped build i...
06 Sep 2026Recursive Self-Improvement, Without the Hype
A skeptical, solution-oriented look at what RSI is, what it is not, and how to tell the differenc...
24 Sep 2025My First Blog Post
Welcome to my blog!
26 Apr 2025Contact
Email: schneidernicolas90@gmail.com