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Hannes Lundström

Hannes Lundström

Industrial Systems Strategist & Full-Stack Architect

MSc Student in Industrial Engineering and Management @ Uppsala University

Bridging the gap between Industrial Engineering and Advanced Software Engineering. Specialist in automation, mathematical modeling, and strategic leadership.

Qualifications

Industrial Automation

PLC Programming (Ladder Logic) and virtual production simulation.

Mathematical Modeling

Advanced scientific computing and SVD-based pattern recognition.

Fullstack Systems

Engineering scalable React/TypeScript architectures with Vite and Tailwind.

Strategic Finance

Asset management and economic sustainability in board-level environments.

Leadership & Finance

2023 - 2024

Vice Chairman & Treasurer // I-Sektionen Uppsala

Financial Leadership

Directly responsible for the economic sustainability and asset management of the Industrial Engineering student union. Managed high-volume budgets and oversaw board-level strategic financial decisions.

Focus Area Economic Sustainability
Responsibility Asset Management
Scale Board-Level Strategic Oversight

The Engineering Lab

SPEC-001 // Fullstack Systems

Wine Cellar Tracker

Advanced inventory management system utilizing React, TypeScript, and Vite. Implements complex state logic for multi-dimensional filtering by terroir, grape variety, and food pairings.

ReactTypeScriptViteSupabaseTailwind CSS
View Repository _
SPEC-002 // Fullstack App

Clip My Recipes

Sophisticated recipe management platform with OCR integration for digitized cookbook scaling. Features multi-language support and automated unit conversion for global culinary data.

AstroReactTypeScriptOCRSupabase
View Repository _
SPEC-003 // Strategic Finance

Pelosi Stock Tracker

Automated monitoring system for congressional stock disclosures. Integrates financial data pipelines with real-time tracking to analyze market transparency and high-profile trading activities.

PythonFinancial APIsData EngineeringAutomation
View Repository _
SPEC-004 // AI & Systems

Personal LLM

Customized local language model deployment featuring Retrieval-Augmented Generation (RAG). Optimized for private data processing via vectorized search and quantized weights.

LLMsRAGVector DBPythonQuantization
View Repository _

Tech Stack Matrix

Languages

  • Python
  • TypeScript
  • JavaScript
  • SQL
  • Ladder Logic (PLC)

Web Systems

  • React / Next.js
  • Astro
  • Vite
  • Tailwind CSS
  • Supabase / OCR

AI & Systems

  • Local LLM Deployment
  • RAG Architecture
  • Vector Databases
  • Model Quantization
  • Industrial Automation

Strategic Finance

  • Asset Management
  • Economic Modeling
  • Sustainability Analytics
  • Strategic Forecasting
  • Financial Oversight