Developing pose-guided image generation models generating images of football players, evaluating if synthetic imagery can improve player-tracking models. Delving into SOTA research such as Stable Diffusion and ControlNets, leveraging libraries such as HuggingFace Diffusers.
AI Sweden
AI for Impact
2024 Summer
Developing a RAG-based chatbot enabling efficient retrieval of trustworthy, socioeconomic using natural language. Built for the non-profit Reach For Change, funded by Google.org - Google's philanthropic arm.
Built/integrated backend infrastructure to React frontend, leveraging tools such as Docker, FastAPI, LangChain, AWS Lambda.
Versed myself in SOTA RAG designs, such as agentic RAG (LangGraph), GraphRAG, self-reflection, logical routing.
Axis Communications
R&D intern
2023 Summer
Researched/developed machine learning models for snow-detection to prevent view obstruction in surveillance cameras.
Building and evaluating various Generative Adversarial Network (GAN) models for synthetic data generation.
Extending binary snow classifier to multi-class classifier whilst reducing quantized model size by ~60% and increasing accuracy to >90% with hyperparameter tuning.
Lunicore
IT Consultant
2022 Fall
Supported clients with projects related to database migration, cost-analysis, database & bill management with Amazon Web Services.
Ericsson
R&D intern
2022 Summer
Developing UI features for analytical toolboxes and automating data flow of KPI analysis between new commits, mainly in Python.
Optimizing memory allocation of physical layer signals, parsed from log files, in virtual cellular hardware for simulations with C.
Societies
KTH AI Society
Tech Lead & AI Engineer
2024 October - present
Twiga - WhatsApp bot for Tanzanian teachers. Leveraging resources from Tanzanian Institute of Education (TIE) to provide pedagogical guidance to teachers.
Designing database infrastructure (PostgreSQL) and building ingestion pipeline for Twiga. Implementing vector database ingestion and conversational memory management. Sponsored by Meta & Neon.
Leading a team of 4 students, planning feature roll-out, and hosting workshops in tools such as HuggingFace, smolagents (agents library), and MCP.
Lund Formula Student
Driverless Developer
2021-2022
Developing software pipeline and simulations for autonomous go-kart like car for university-based Formula Student team.
Building multi-modal sensor system with INS, LiDAR and two-cameras to create real-time perception and path-planning pipeline.
LINC
Quantitative Research Analyst
2020-2021
Back-testing harmonic trading strategies in currency markets in collaboration with AI-driven hedgefund Valid Alpha.
Massive (>1 million data-points) data processing with Numpy/Pandas, data visualization with matplotlib/seaborn libraries, automating significance testing, technical analysis. Resulted in published paper.
Projects & Hackathons
AI Sweden x Google Impact Hack
Winner
2025 March
Automated administration of financial aid applications, reducing decision response time from months to minutes, using Modal, Typescript and Gemini Flash for backend-hosting, frontend and document understanding respectively.
Modal Hackathon
Runner-Up
2025 March
Served & finetuned YOLOv11 pose detection model for eye-tracking on GPUs from Modal - a serverless HPC platform.
Industry skills monitoring
Developer
2024 December
Built a platform that scrapes, identifies and visualizes in-demand skills from machine learning job ads. Used RapidAPI for LinkedIn Jobs scraping, BERT for skill extraction, SentenceTransformer for embeddings, and Plotly for visualization.