Engineering Applied AI Systems That Ship

I build production-minded AI systems that combine computer vision, NLP, LLM workflows, and full-stack engineering into practical applications. My focus is reliable system design, clear architecture, and tools that work under real implementation constraints.

Technical Skills

• Languages: Python, TypeScript/JavaScript, SQL, C++, Java
• Backend: FastAPI, REST APIs, Uvicorn, environment-based configuration
• AI/LLM Systems: workflow experience with OpenAI ChatGPT, Google Gemini, and Anthropic Claude; prompt engineering, structured outputs, validation loops, information extraction
• ML/Data: PyTorch, TensorFlow, NumPy, Pandas, scikit-learn, feature engineering, model training and evaluation, classification, dimensionality reduction, transformer fine-tuning
• Computer Vision: OpenCV, YOLO, Tesseract OCR, object detection, bounding boxes, image preprocessing
• Data Visualization: Matplotlib, Tableau
• Cloud: AWS, Azure fundamentals
• Frontend/Tools: React, Vite, Next.js, Tailwind CSS, responsive UI development, Git/GitHub