Discover more about me
As a recent graduate in Computer Science from Nanyang Technological University (NTU), Singapore, with a specialization in Artificial Intelligence (AI) and Data Science (DS), I am passionate about leveraging cutting-edge technologies to solve complex problems. My academic journey was enriched by a minor in Mathematics and a range of impactful projects that honed my technical expertise and analytical skills.
Over the past four years, I have cultivated a deep interest in Machine Learning (ML) and Data Science, focusing my studies and practical efforts on these fields. Beyond my technical pursuits, I am dedicated to teamwork, leadership, and innovation. I thrive in collaborative environments, identifying critical components of projects, efficiently delegating tasks, and integrating diverse technologies to deliver innovative solutions.
B.Eng. Computer Science, Nanyang Technological University (NTU), Singapore
Artificial Intelligence and Data Science with Minor in Mathematics
Machine Learning, Data Analysis, Software Development
View my education
Artificial Intelligence and Data Science, Minor in Mathematics
Graduated with Highest Distinction (First Class Honours) through NTU's Accelerated Bachelor Program. Completed the degree in 3.5 years with a structured focus on mastering core CS, AI, and DS principles, and applying them through advanced research and projects.
Full-Stack Web Development with Python and Django
Completed an intensive and project-oriented web development program focused on building real-world Python and Django web applications, including RESTful APIs, database management, and frontend integration.
Mathematics, Informatics, and Programming
Specialized in mathematics and informatics under the Bulgarian curriculum. Participated in competitive programming and mathematics contests, and served in the student council, developing both technical and leadership skills.
View my professional experience
TÜV SÜD
Played an integral role in TÜV SÜD’s AI department, contributing to AI quality standards analysis, web application development, generative AI enhancements, and full‑stack development.
Explore my projects
An ablation study evaluating various sentiment analysis approaches on the Rotten Tomatoes review dataset, comparing embedding strategies, RNN and transformer architectures, and ensemble techniques.
A MATLAB lab project comparing document image segmentation techniques and stereo disparity methods for 3D reconstruction.
An exploration of essential image enhancement and restoration techniques in MATLAB, covering intensity transformations, spatial filtering with both linear and non-linear kernels, and noise reduction in the frequency domain.
A multimodal emotion recognition system that integrates speech-to-text conversion and deep learning classifiers to detect emotional states from audio and text data.
A network science-based study of DBLP collaboration data revealing structural properties, evolution, and reduction strategies in a large-scale scientist network.
A scalable machine-learning pipeline using dual LightGBM models and outlier detection to predict customer loyalty scores in the Kaggle ELO Merchant Category Recommendation challenge.
A dual-stage deep learning assignment combining speech polarity classification and HDB flat resale price regression.
An implementation of value and policy iteration algorithms that computes optimal policies and utilities in a grid-based maze environment.
An adaptive hybrid-strategy agent for three-player repeated Prisoners’ Dilemma tournaments that balances cooperation and defection through dynamic history analysis.
A reinforcement learning agent implemented with TensorFlow that learns to balance a pole on a moving cart in the OpenAI Gym CartPole-v1 environment.
A user-friendly tool for comparing SQL queries by visualizing execution plan differences and generating plain-English explanations to aid optimization.
A data-driven network traffic analysis tool that processes raw packet logs to reveal communication patterns, protocol distributions, geolocations, and potential security threats.
A market-basket analysis project identifying product affinities and recommending complementary items to boost sales, with additional insights into customer segments and inventory.
A Django-based web trivia game with user authentication, dynamic lifelines, and question management, built as a final exam project for SoftUni.
Discover my tech stack
My technology ecosystem spans multiple domains - from web development to artificial intelligence. Below is a visualization of the technologies I have worked with, organized by category.
6 technologies
6 technologies
10 technologies
5 technologies
11 technologies
5 technologies
6 technologies
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