The Cases
A selection of my most challenging missions across machine learning, data science, and web development
Data Ingestion AWS
CSV Processing System with AWS and Terraform. Utilizes AWS Lambda, S3, DynamoDB, and LocalStack.
Customer Profiling
Customer Segmentation and Profiling using K-Means Clustering and DBSCAN.
Used Car Price Prediction
Jupyter Notebook project for predicting used car prices using statistical modeling and machine learning.
Check Octo
Python application for detecting plastic garbage, utilizing machine learning techniques.
SAR-Colorization
GAN-based multispectral image enhancement framework (MIT Licensed).
Facial Reconstruction
Python project focusing on facial reconstruction techniques using computer vision and machine learning.
Spam Detection System
Flask/PyTorch NLP model for spam email detection. Integrated NLTK and implemented CI/CD with GitHub Actions.
Pantalaimon
E2EE aware proxy daemon for matrix clients. Implemented improvements in media handling and reduced client decryption latency.
Code-Relay 3.0
Real-time collaborative coding platform. Led development at KGEC Development Team.