🎓 PhD in Statistics
📍 Netherlands
🔹 Operations Research • Data Science • Supply Chain & Logistics Optimization

I build decision-support systems that connect research, optimization, analytics, and production software. My recent work sits at the intersection of:

• Optimization / Operations Research
• Supply Chain, logistics, and job-market analytics
• Applied AI and ML-powered decision tools
• Production-ready Python systems with cloud deployment

This direction reflects the strongest overlap across the roles I target most: optimization, analytics, logistics, stakeholder-facing problem solving, and deployable software.

• 🤖 Job Agent Backend — FastAPI-based AI backend for job search, CV matching, Bedrock-powered tool-calling, and MLflow-traced evaluation on AWS Lambda
• 📊 Job Market Pipeline — Python pipeline for scraping, filtering, standardizing, deduplicating, and exporting job postings, tuned for optimization and operations-research use cases
• 🧠 Job Analytics Frontend — Next.js dashboard for job analytics, AI chat, search workflows, and CV matching built on Supabase and backend services
• 📈 MLflow Tracking Server — self-hosted MLflow setup for experiments, traces, evaluation, and prompt optimization in AI systems

• 🌐 Oploy Platform — applied decision-support platform translating optimization models into practical tools for routing, scheduling, and network design
• 🔬 2sHMMREM — reproducible research code for a two-stage Hidden Markov / Relational Event modeling framework
• 🛠️ RepairShop-milp — MILP-based research implementation for repair shop optimization
• ⚙️ ANN-SMB-SemiExpSimOpt — simulation-optimization and neural-network-based research code for process systems engineering

• Operations Research & Optimization — mathematical modeling, solver-based optimization, simulation, and decision-support systems
• Supply Chain & Logistics Analytics — routing, scheduling, network design, and operational performance improvement
• Applied AI & Data Products — AI-assisted job search, CV matching, analytics dashboards, and LLM-enabled workflows
• Research to Production — turning rigorous models and experiments into usable software and deployable systems

AI, Data Science, Optimization and Analytics

Development, Infrastructure and Cloud

• Optimization and simulation models for routing, scheduling, network design, and operational decision-making
• AI-assisted applications for job search, CV matching, and analytics workflows
• Research-to-production systems that combine modeling rigor with usable software
• Tools that help teams move from analysis → decision → deployment

• 🌐 Oploy
• 💼 LinkedIn
• ✉️ Mohammad@oploy.eu