Peerapon Wechsuwanmanee

Machine Learning Engineer & AI Engineer

Düsseldorf, Germany

Experience

Machine Learning Engineer

2024-09 - Present

REWE Group · Cologne, Germany

  • Spearheaded the multi-agent AI system that won the company Hackathon 2025 ('Technology Love' category, among hundreds of developers), auto-resolving common software-development issues; now scaled company-wide, estimated 5%+ productivity gain per developer.
  • Architected a multi-agent extension to the store-employee chatbot - natural-language task creation via an MCP tool over a Google ADK agent-to-agent architecture - placing 3rd at Google Agent Factory 2026.
  • Owned end-to-end delivery of 4 Generative AI products, from architecture to production, for back-office and in-market use cases - serving thousands of German retail markets and delivering directly to business and operational teams.
PythonGenerative AIGoogle ADKMulti-Agent SystemsMCP ServerAgentic EngineeringKubernetesPrometheus

Data/Machine Learning Engineer

2022-07 - 2024-03

Data Reply · Munich, Germany

  • Pioneered an LLM-based document-summarization MLOps proof-of-concept, building the reusable training/serving accelerator later adopted as an internal delivery template.
  • Developed a PyTorch computer-vision defect-detection system for steel-surface production lines, classifying surface anomalies from line imagery.
  • Engineered an end-to-end PySpark predictive-maintenance pipeline for the automotive sector - data extraction through feature engineering to a Streamlit decisioning dashboard - directly enabling the client's maintenance-cost reduction.
PythonScalaPySparkPyTorchLangChainAWS GlueAWS AthenaAWS EMR
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Featured Projects

Semantic Product Search Engine

Semantic Product Search Engine

  • Researched and evaluated search engine options for a second-hand e-commerce platform, selecting Meilisearch for its hybrid semantic/lexical search, bilingual Thai/English support, and cost profile at scale.
  • Designed and deployed a real-time PostgreSQL → Meilisearch sync pipeline using logical replication and MeiliBridge, enabling sub-second product index updates without changes to the host application.
MeilisearchPostgreSQLRustTypeScriptSearch Relevance Tuning
Motorbike Condition Evaluation

Motorbike Condition Evaluation

  • Built a multi-modal ML regression pipeline fusing 39-dimensional MFCC audio features (extracted from inspection videos via librosa), Thai-language BERT embeddings (WangchanBERTa), and categorical inspection inputs to predict a 0-100 motorcycle condition score.
  • Benchmarked 5 regression algorithms (ElasticNet, Random Forest, Gradient Boosting, SVR, XGBoost) with scikit-learn RandomizedSearchCV hyperparameter tuning; serialized the best-performing pipeline for cloud-hosted inference.
PythonPandasFastAPIScikit-LearnXGBoost
Credit Risk Assessment

Credit Risk Assessment

  • Performed exploratory analysis and built a reproducible data-cleaning and transformation pipeline on a raw credit dataset.
  • Ran model selection across candidate classifiers with per-segment personalized feature selection to sharpen credit-default discrimination.
PythonPandasScikit-LearnStreamlit
Credit Default Prediction

Credit Default Prediction

  • Built a full-lifecycle credit-default MLOps system: EDA, automated data-cleaning pipeline, MLflow experiment tracking, blue-green model selection, and Prefect-orchestrated automatic retraining.
  • Ran a profit-optimized threshold simulation achieving a 30% profit increase on out-of-sample data versus a baseline cut-off policy.
PythonPandasScikit-LearnFastAPIMLFlow

Skills

ANNAWS AthenaAWS EMRAWS GlueAWS SageMakerAbaqusAgentic EngineeringChromaDBComputational MechanicsControl SystemsData AnalysisDockerFastAPIFinite Element AnalysisFlaskGCPGCP Cloud RunGenerative AIGitHub ActionsGitLab CIGoogle ADKGrafanaKinematicsKubernetesLSTMLangChainLangSmithLokiMATLABMCP ServerMLFlowMSC.ADAMSMeilisearchMongoDBMulti-Agent SystemsNumPyOpenAI APIPandasPostgreSQLPrefectPrometheusPySparkPyTorchPythonRustSVRScalaScientific ComputingScikit-LearnSearch Relevance TuningSimMechanicsStreamlitSystem EstimationTerraformTypeScriptXGBoostseaborn

Certifications

GCP Associate Cloud Engineer

Google Cloud · 2025

Azure Data Engineer Associate

Microsoft · 2024

Kubernetes Application Developer (CKAD)

CNCF · 2024

Terraform Associate

HashiCorp · 2023

AWS Machine Learning Specialty

Amazon Web Services · 2023

AWS Solution Architect Associate

Amazon Web Services · 2023

Data Scientist Nanodegree

Udacity · 2019

Machine Learning Engineer Nanodegree

Udacity · 2018

From the Blog

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