Pontus Ågren Grundström

Technically inclined programming student with strong analytical skills, always seeking deep and wide knowledge in everything i learn. Currently studying object-oriented programming with AI competence in the final term, now looking for new exciting challenges after my exam in Data/AI Engineering Summer 2026. I have a solid understanding of Git, OOP, C#, databases, SQL, Python, and agile methodologies. I am a fast learner, solution-oriented, and thrive in both team settings and independent work.

Check out my github portfolio :briefcase:

Repository	Course	Description	Skills
C# Group Project	OOP Intro / OOP Basics	Learned the basics of object-oriented programming (OOP): encapsulation, inheritance, polymorphism, and generics. Gained experience in error handling, console/file system, UI creation, and version control.	C#, OOP, Git
Database Project	Databases	Designed, created, and managed relational databases using SQL. Learned data modeling, normalization, and CRUD operations.	SQL, Dapper, Data Modeling
	Agile Projectmanagement	Studied Scrum and Kanban; learned to manage project structures, roles (Scrum Master, Developer, Product Owner), and team planning.	Scrum, Kanban, GitHub-Projects
AI 1 - Python, Lab 1, Lab 2	AI 1 - Python	Developed Python skills, working with file handling, virtual enviornments, NumPy, Pandas, and Matplotlib. Focused on data cleaning, preparation, visualization, data analysis, data storytelling, dashboards and KPIs.	Python, Pandas, Matplotlib, NumPy, Streamlit
AI 2 - Data Engineering, Group Project	AI 2 - Data Engineering	Studying ETL/ELT processes, data pipelines, and transformations, working with DLT, DBT Core and duckdb/snowflake. Orchestration with dagster and showing data in streamlit dashboard with implemented LLM.	DuckDB, Data Warehouse, Data Pipelines, APIs, Snowflake, Dagster, LLMs
AI 3 - AI Engineering, Fullstack Project	AI 3 - AI Engineering (Part 1/2)	Learning ML concepts, regression and classification algorithms, data validation, serving AI models with FastAPI	Machine Learning, scikit-learn, Pydantic, FastAPI, CRUD, REST API
	Internship 1 - Stena Fastigheter AB, Data Engineer	Created ELT pipeline for extracting and loading electrical car loading station data using OCPI-protocol, deployed pipeline cronjob and dashboard for data analytics on energy patterns	ELT, Azure, Docker, Openshift, Snowflake, dlt, dbt, OCPI, CI/CD, Streamlit
AI 3 - RAG Project	AI 3 - AI Engineering (Part 2/2)	Learning RAG systems, prompt engineering, Vector databases, word embeddings, webscraping, building AI agents, building conversational AI systems, and deploying AI applications with Azure Functions and Web Apps.	pydantic_ai, FastMCP, Azure Cloud, Docker, LanceDB, FireCrawl
	Internship 2 - Stena Fastigheter AB, AI Engineer	(ongoing) Creating MCP server for easy access to IoT sensor data within company agent, setting up OAuth and Microsoft Entra ID authentication	FastMCP, Azure, Docker, AI-Agents, OAuth 2.0

Experience

Contact me :iphone: