Hi, I'm Larbi.
I create stuff sometimes.
I am a research analyst based in London. I have great interest in data science, artificial intelligence, full-stack development, and everything in between.
A brief intro, who am I?
I am currently an Industy Analyst at ABI Research, leading the 5G, 6G & Open RAN research team. I recently graduated with Bachelor of Science with Honours in Computer Science from Queen Mary, University of London.
When I am not working, I enjoy building websites from scratch, learning about new technologies, playing chess, going to the gym and cooking new food from various cuisines.
Here are some of the technologies I am currently working with:
TypeScript
Python
Java
NextJS
Pandas
HTML & CSS

Experience
May 2024 - present
Industry Analyst - ABI Research
- Worked closely with clients and lead projects to produce custom research to answer key questions in various formats, including datasets and whitepapers.
- Conducted an in-depth analysis of 5G RAN Automation market, including market sizing and competitive analysis, assisting operators in choosing partners and forming deployment strategies.
- Led a webinar presentation for a client for over 50 viewers focusing on the networks industry in 2035 and potential strategies they can use to ensure a strong market position for the 6G era.
June 2023 - April 2024
Research Analyst - ABI Research
- Created a 5 year market forecast for the outdoor network infrastructure market, including 5G Open RAN and Massive MIMO, allowing clients to make more informed investment strategies in the 5G sector.
- Conducted an in-depth analysis of 5G Fixed Wireless Access vendors, inclduing market share, competitive analysis and competitive dynamics, assiting operators in forming strategic partnerships.
- Wrote monthly article posts focusing on trending network topics such as Open RAN, silicon photonics and vRAN, informing clients of the latest industry news, how it impacts the market, and recommendations for the industry to react.
June 2021 - May 2023
Research Intern - ABI Research
- Conducted in-depth analysis of TinyML and Edge AI, forecasting Edge AI chipset shipments by use case, and contributed to a comprehensive consumer technologies market update PowerPoint presentation and Excel workbook.
- Updated an Excel workbook for the supply chain team, compiling data on 200 companies across OSS/BSS, RAN, E2E, Core, and Edge, enhancing vendor knowledge for informed decision-making.
- Developed 2 Python-based automation tools, saving the Networks team over 15 hours in data collection, resulting in heightened efficiency and a shift in focus to higher-value tasks.