From research
to product.

B2B2C platform for the live events industry. Unifies ticketing, cashless payments, parking management, stock control, consuming-software and behavioral analytics into a single ecosystem spanning a producer app, ticket validation, and consumer-facing app.

iOS app combining on-device ML and cloud services for intelligent expense tracking and financial insights. Uses MLX-Swift with QLoRA-finetuned models for local inference and integrates Open Finance APIs for automated bank syncing. Preparing for App Store beta release.

End-to-end SLM implementation based on Dr. Raj Dandekar's (MIT PhD, ML) teachings. Covers the full pipeline: tokenization, input–target pair construction, model architecture design, pre-training setup and execution, and inference. Also explores the theory behind it: Backpropagation, activation functions (ReLU & GeLU), and the step-by-step reasoning behind each architectural decision.

Social network built from scratch in C++11 with SQLite3, using OOP principles and MVC architecture. Features real-time score ranking, bidirectional follow relationships, and gamification mechanics with robust exception handling.

Space Invaders game built from scratch in C, using ALLEGRO library. Features classic gameplay mechanics, enemy movement patterns, and power-up system.

XGBoost model for real estate profile scoring using Target Encoding, Feature Engineering, and 5-fold Cross Validation. This project was for Morada AI, the model was part of a bigger pipeline of lead scoring and was used to predict the profile of real estate leads based on their messages, behavior and attributes.

Neural network built from scratch with Pytorch for real estate lead profile scoring.

Bibliometric analysis of 12,209 scientific publications on LLM and Knowledge Distillation, sourced from Scopus. Built co-occurrence networks in VOSviewer and plotted publication trends in Python — mapping where the research field is heading and what emerging terms are gaining traction.