Aleksandar Georgiev
Frontend DeveloperAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Machine Learning Engineer | LLMs, Computer Vision & Document Intelligence | Driving Scalable Data Solutions
Enthusiastic and experienced Senior Machine Learning Engineer with a proven track record of developing and implementing machine learning solutions that drive business value. Expertise in a wide range of machine learning algorithms, frameworks, and tools. Adept at working with large datasets, identifying patterns and trends, and building robust and scalable machine learning models. Passionate about translating data insights into actionable solutions that impact user experience and business outcomes. Have hands on experience in Computer Vision, LLM and Quantitative sciences for Financial Markets.
Technical University of Varna
Master's degree, Systems with Artificial Intelligence
January 1, 2020 – January 1, 2022
Technical University of Varna
Bachelor's degree, Computer Engineering
January 1, 2016 – January 1, 2020
High School of Mathematics "Dr Petar Beron" - Varna
Information Technology
January 1, 2011 – January 1, 2016
Software University (SoftUni)
Computer Science
N/A – Present
Wrocławska Wyższa Szkoła Informatyki Stosowanej
Erasmus Semester, Artificial Intelligence
N/A – Present
Iris.ai
Senior Machine Learning Engineer
March 1, 2026 – Present
GKSoftware
Lead Machine Learning Engineer
July 1, 2023 – December 1, 2025
MYX AD
Senior Machine Learning Engineer
June 1, 2022 – July 1, 2023
Move Digital AG - Credit Suisse Subsidiary
Quant / Machine Learning Engineer
March 1, 2021 – September 1, 2021
Technical University of Varna
Visiting Assistant Professor
September 1, 2020 – January 1, 2021
SmartSoft
Machine Learning Engineer
March 1, 2017 – February 1, 2021
3rd place in Startup Weekend: The Laboratory - "Mixify" application
November 1, 2016 – November 1, 2016
Our goal is to provide to people simplified information about their medicine intake that is going to prevent irregular use of the medicines.
2nd place in Startup Weekend Mobile Varna - "Foody" application
April 1, 2016 – April 1, 2016
Our team participated in Startup Weekend Mobile (April 23 - 25, 2016), which was held in our hometown - Varna, Bulgaria. Startup Weekend is a global grassroots movement of active and empowered entrepreneurs who are learning the basics of founding startups and launching successful ventures. The idea of the project was to create an application, using which the user finds the most interesting, unique and new food near him/her, sorted by his/her preferences. Also, he/she can compete with his/her friends and win challenges with prizes from the sponsors of the app. A voting system will sort out the most intriguing food. "Foody" won 2nd place. The participation in a world-known event like this expanded our knowledge and experience of how, starting only with an idea, one can go through the whole process of what the project will look like, how to attract the people to use it, how it will earn money, etc. We met a lot of people, working in various areas, including Software Engineering, Web Design, Marketing, Social Media, Finance and many others, all regarded to the process of creating a product and developing it to a successful one. Participating in the event gained me a wide experience of not only how to develop an application like this, but also how to promote it and, most importantly, to make it famous among the people while creating a successful marketing strategy. Another thing that improved my communication skills is that I spoke with people from both small and big businesses, explaining them the team's idea and including them as future sponsors of the project.
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
DeepLearning.AI
June 24, 2026 – Present
Structuring Machine Learning Projects
DeepLearning.AI
June 24, 2026 – Present
Neural Networks and Deep Learning
DeepLearning.AI
June 24, 2026 – Present
Machine Learning
Stanford University
June 24, 2026 – Present
Natural Language Processing with Classification and Vector Spaces
DeepLearning.AI
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily focused on Machine Learning and AI, with roles ranging from Engineer to Lead ML Engineer. While this demonstrates a strong technical foundation, the target role is 'Frontend Developer'. This represents a significant mismatch in primary skill sets and career trajectory. The personal projects, while demonstrating initiative, do not explicitly showcase frontend development skills. The academic background is strong in Computer Science and AI, further reinforcing the ML/AI focus. This indicates a low cultural fit for a dedicated frontend role without explicit evidence of frontend development experience.
Soft Skills & Operational Fit
The candidate's participation in Startup Weekend events suggests strong communication, teamwork, and problem-solving skills, as well as an ability to work under pressure and present ideas. The descriptions of these projects highlight an understanding of product development, marketing, and stakeholder engagement. However, there is no direct assessment data for these skills.