I am a full-stack engineer focused on integrating AI models into scalable, production-ready systems, with experience across healthcare and the music industry. On the backend, I work primarily with Python (FastAPI, Django) and Node.js (TypeScript, Express/NestJS), building robust APIs and orchestration layers for LLMs and multimodal models. I design data pipelines using PostgreSQL, MongoDB, Redis, and streaming tools like Kafka, with deployments on AWS (Lambda, ECS, S3) and GCP. On the AI side, I integrate and productionize models using OpenAI APIs, Hugging Face, PyTorch, and vector databases like Pinecone and Weaviate, focusing on retrieval-augmented systems, document understanding, and multimodal workflows. For frontend, I build user-facing platforms with React, Next.js, and Tailwind, ensuring that complex AI systems are accessible and intuitive in real-world use. My work includes privacy-aware healthcare solutions (HIPAA-conscious architectures, secure data handling) and AI-driven music/audio systems (analysis, generation, and interactive experiences). I focus on building reliable systems where AI is deeply integrated into the product, not just a prototype.