Bogdan Aioanei
Converting caffeine into AI solutions since before ChatGPT was cool. Turns out, if you feed enough data to machines, they start having opinions about your coffee choices.
Currently building AI systems that read legal documents faster than lawyers can say ‘billable hours.’ Between keeping Dialog AI humble and stopping Juridice AI from developing a superiority complex over traditional search engines, I occasionally convince the algorithms that world domination isn’t a priority feature.
My AI systems are trained to cite their sources and only offer unsolicited life advice on alternate Tuesdays.
Contact Info
Work Experience
July 2024 – Present: Technical Lead Juridice AI. End to end solo development of the Juridice AI webapp. The app is the equivalent of Perplexity AI for the legal domain of Romania. It combines various AI models (third-party and custom) to provide legal and verifiable information to users. The app scrapes the internet in realtime to find the latest legal information and provides it to users in a user-friendly manner. All sources are cited and publicly available.
June 2023 – Present: CEO Dialog AI. End to end solo development of the Dialog AI webapp. The app provides access to over 1 million Romanian Court Decisions through a full-text search engine. Furthermore, the app allows users to analyze, filter and extract information from court decisions using custom AI solutions on a rate of 1000 pages per minute. Finally, the app also has an AI chatbot integrated for an integrated ChatGPT-like experience.
April 2021 – Sept 2021: Software engineer GMV. Was part of the Flight Dynamics Operations department. Primarily used python, SQL and bash to develop and test software related to satellite and space debris tracking. Was tasked with debugging legacy software, third-party data validation (telescope imagery).
July 2020 – Oct 2020: Network Management Directorate Intern EUROCONTROL. Primarily worked on analyzing volatility and causes for over and under-delivery for the aircraft network and its hotspots in the European network. Tasks included procuring, processing, interpreting and visualizing data. This work was used in the decision-making of the Network Management team when proposing solutions for Network inefficiencies. Used Python, SQL and PowerBI. I was also involved in developing tools for big data analysis and implementation of a ML model for predicting future Capacity of existing sectors. My contribution consisted in procurement and preprocessing of the input data as well as providing information on the relevant KPIs and metrics necessary for this type of model.
July 2019 – Sept 2019: Procedure Design Intern Regional Air Suport, RAS. Developed all the Aeronautical charts (ILS, NDB, SID, STAR) for the Baneasa, Iasi, Sibiu, Oradea and Targu-Mures International airports according to the existing ICAO regulation.
Education
2021-2023: Leiden University, Netherlands. Master’s degree in Artificial Intelligence (MSc). Studied anything and everything AI: from simple statistics and ML models to all the major research areas like Reinforcement Learning, NLP, Computer Vision, Graph Theory and Evolutionary Algorithms.
2017-2021: Politehnica University of Bucharest, Romania. Bachelor’s of Engineering in Aerospace Engineering. Grade: 9.43 (out of 10)
2013-2017: Baccalaureate, Romania. Baccalaureate Diploma with an average degree of 9.8 (out of 10)