I am a Computer Engineer (B.Sc.) currently specializing in software architecture at grit:lab in Γ land. I bridge the gap between high-performance backend systems and complex data analytics. Whether I am architecting event-driven microservices or tuning genetic optimization algorithms, I focus on building robust, scalable solutions.
- π Currently focusing on: End-to-end data pipelines, NLP, and event-driven microservices (Kafka/Spring Boot).
- π± Deepening my knowledge in: Quantitative finance, probabilistic matrix factorization, and Snowflake data warehousing.
- β‘ Fun fact: I built a multi-objective optimization model using the NSGA-II algorithm to solve real-world crisis evacuation routing.
Data Science, ML & Optimization
- π΅οΈ NLP News Scraper & Risk Intelligence: Automated NLP pipeline transforming raw RSS feeds into actionable Risk Intelligence using Snowflake, LinearSVC, and GloVe embeddings.
- π¬ Matrix Factorization Recommender System: Built an enterprise-grade movie recommendation engine utilizing SVD and PMF to learn latent user preferences from highly sparse datasets.
- π’ Titanic Survival Prediction: A robust machine learning pipeline emphasizing advanced feature engineering, data leakage prevention, and soft-voting ensemble classifiers.
- π buy-01: Architected a scalable, event-driven e-commerce backend using Java, Spring Boot, Eureka, and Kafka.




