About
I'm a computer science student completing an exchange year at UC Berkeley, pursuing my M.Sc. in Computer Science with a specialization in Artificial Intelligence at NTNU in Norway.
My interests sit at the intersection of ML systems and AI, specifically how to make large language model inference faster, more efficient, and more equitable across users. I enjoy working on problems that blend systems thinking with machine learning research.
Outside of research, I've worked as a Data & AI intern building natural language interfaces to enterprise data, and managed sponsor relations for Ascend NTNU, a student-driven tech organization.
Software Engineering
AI & Machine Learning
ML Frameworks
Data & Platforms
Systems & Infra
Experience
AI Engineer
Astar Consulting AS · Norway
- Developing computer vision solutions for NorgesGruppen Data as a consultant through Astar Consulting AS.
Data & AI Intern
BAMA Gruppen AS · Oslo, Norway
- Built a natural language interface to market and consumer data stored in Snowflake, enabling business users to query tables and reports in plain text.
- Developed an NL-to-SQL pipeline backed by LLMs, reducing time-to-insight for non-technical stakeholders across the organization.
- Part of BAMA's group-wide initiative to make data insights more accessible, presented final solution to senior leadership.
Key Account Manager
Ascend NTNU · Trondheim, Norway
- Managed sponsor relations and partnerships for Ascend NTNU, a student organization focused on autonomous drone systems.
- Negotiated and maintained agreements with key industry sponsors, securing funding for technical projects and competitions.
- Led event planning for sponsor showcases and organized financial reporting and budget analysis for the business team.
Research
Ask Before You Summarize: NLI-Guided Uncertainty and Clarification-Aware Abstractive Summarization
2026 · In ProgressUC Berkeley
A clarification-aware abstractive summarization system that uses NLI-based uncertainty estimation to decide whether to commit to a summary immediately or pause and ask a targeted binary clarification question.
Trading Engagement for Sustainability: Carbon-Aware Re-ranking for E-commerce Recommendations
2026 · In ProgressUC Berkeley
A carbon-aware re-ranking framework for e-commerce recommendations that trades predicted engagement against inferred product carbon footprint, constructing Pareto frontiers across three product categories on the Amazon Reviews dataset.
Infrastructure Form Shapes Equitable Access to Essential Services under Flooding in Philippine Cities
2026 · In ProgressUC Berkeley
A reproducible network-accessibility framework measuring how flood-disrupted roads cut off residents from hospitals, schools, markets, and pharmacies across ten Philippine cities, with demographic profiling of the most exposed populations.
Beyond Binary Priorities: Multi-Tier SLA Scheduling for Large Language Model Serving
Aug – Dec 2025UC Berkeley
Extended Llumnix's binary priority model to support arbitrary SLA tiers for multi-tenant LLM serving, demonstrating that four priority tiers achieves the best cost-efficiency tradeoff with up to 8.3× prefill and 3.1× end-to-end P99 speedups over INFaaS.
Robustness of In-Context Learning via Curriculum Learning
Oct – Dec 2025UC Berkeley
Studied whether training Transformers on noisy demonstrations improves robustness of in-context learning at inference time, and whether curriculum-based noise schedules provide additional benefits over random noise.
Projects
EECS RAG System
2026Python · FAISS · BM25 · sentence-transformers · OpenRouter
Retrieval-Augmented Generation system for answering factoid questions about UC Berkeley EECS, built for CS 288. Combines dense vector search and sparse keyword retrieval with Reciprocal Rank Fusion to maximize answer accuracy.
Prediction of Population Growth
2025Python · scikit-learn · SHAP · Jupyter
Machine learning pipeline predicting country-level population growth rates across 5, 10, and 15-year horizons using socioeconomic indicators from 150+ countries spanning 1960–2016.
Education
University of California, Berkeley
Exchange Year, Computer Science
NTNU, Norwegian University of Science and Technology
M.Sc., Computer Science, Artificial Intelligence
Certifications
Intro to Snowflake for Devs, Data Scientists, Data Engineers
Coursera
View certificate ↗Beyond Work
Cal Lightweight Rowing
Competing for the University of California, Berkeley lightweight rowing team.
Berkeley Baris Boys
Playing for Berkeley Baris Boys Norway in UC Berkeley's IMLeague intramural soccer competition.