Apr 2026 – Jun 2026 · 2 mos · Zurich, Switzerland

• • Worked on the Apertus Claritas project.

Feb 2026 – Present · 4 mos · Zurich, Switzerland · On-site

• Working on a Transformer-based architecture for Price Trend Prediction on Limit Order Books.
• Developing an Agentic AI system for RAG pipeline optimization and design through reasoning-driven agents.

Jun 2025 – Aug 2025 · 2 mos · Geneva, Switzerland · On-site

• Enhanced data analysis for major experiments at the Large Hadron Collider (LHC) by developing custom Grafana plugins that simplified the visualization of complex control system data for 500+ physicists and engineers.
• Conducted multiple live demos of custom Grafana plugins, notably for three of the largest LHC experiments (ATLAS, ALICE and CMS).
• Exceeded the initial project scope by validating its feasibility in week one and delivering a working prototype in week two, justifying a major feature expansion alongside the development and completion of a second project.

Sep 2022 – Jun 2025 · 2 yrs 9 mos · Trondheim, Norway

• Append Consulting is a Norwegian startup specializing in IT consultant services.
• Served as a project manager and developer on multiple global projects for 𝗡𝗼𝗿𝘀𝗸 𝗛𝘆𝗱𝗿𝗼, 𝗡𝗼𝗿𝘄𝗮𝘆’𝘀 𝘀𝗲𝗰𝗼𝗻𝗱-𝗹𝗮𝗿𝗴𝗲𝘀𝘁 𝗰𝗼𝗺𝗽𝗮𝗻𝘆, notably in the fields of data analytics, data science, and machine learning.
• Reduced material costs by a projected $𝟭𝟬𝗠 𝗽𝗲𝗿 𝘆𝗲𝗮𝗿 by managing a team of 4 to build and implement a MINLP optimization model in Python.
• Developed a new user creation system, encompassing both frontend and backend systems. Utilized Microsoft Graph API for Azure to be able to create new users, achieving a 𝟭𝟬𝘅 𝗲𝗻𝗵𝗮𝗻𝗰𝗲𝗺𝗲𝗻𝘁 in user creation efficiency.
• Performed an analysis on the performance of a melting furnace in the UK. Presented my findings to a set of managers from various sites across Europe.
• Developed impactful visualizations and implemented alerts for Norsk Hydro, enhancing data-driven decision-making processes for 𝘁𝗵𝗼𝘂𝘀𝗮𝗻𝗱𝘀 𝗼𝗳 𝗛𝘆𝗱𝗿𝗼 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀. My work would later be expanded into other sites across the globe, notably in Spain, Luxembourg, Germany, the UK, and the USA.
• Improved data processing pipeline 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗯𝘆 𝟮𝟬𝟬% by implementing an efficient PySpark preprocessing pipeline with effective caching.
• During my first month, I showcased a remarkable aptitude for learning and rapidly became proficient in multiple languages and technologies. This allowed me to take on significant responsibilities at an accelerated pace.

Mar 2022 – Jul 2022 · 4 mos · Tønsberg, Norway

Jun 2021 – Aug 2021 · 2 mos · Tønsberg, Norway