I am a specialized AI Engineer and Machine Learning Architect focused on building intelligent systems that merge cutting-edge research with scalable production environments. My expertise spans from deep learning and computer vision to architecting complex full-stack ecosystems.
- 𧬠Deep Learning & Neural Networks: Proficient in designing and training complex models using PyTorch and TensorFlow.
- ποΈ Computer Vision: Expert in real-time object detection (YOLOv8/v10), image segmentation, and automated visual inspection systems.
- π£οΈ Natural Language Processing (NLP): Experience with Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), and building intelligent conversational agents.
- π Data Science: Advanced statistical analysis, predictive modeling, and data engineering pipelines.
AI Frameworks: PyTorch, TensorFlow, Keras, OpenCV, Scikit-learn, HuggingFace
Web & Cloud: NestJS, FastAPI, React/Next.js, Supabase, PostgreSQL, Docker, AWS
- DeepVision Automation - Developed a real-time game automation bot using YOLOv8, leveraging custom-trained weights and HSV-based color space optimization for high-speed object detection.
- LLM Orchestration - Engineered a persistent AI memory engine for conversational agents, implementing sophisticated session management and context preservation in high-traffic environments.
- AtSpaces Ecosystem - Architected a multi-module administrative platform with specialized vendor management and automated reporting systems.