Christopher Abella

I am a seasoned AI software engineer with over six years of experience designing, building, and deploying end-to-end AI systems for healthcare, legal, and financial domains. I specialize in computer vision, natural language processing, speech AI, and MLOps, and I consistently deliver production-grade, scalable solutions.

At TechProduct Inc I architected HIPAA-compliant medical RAG systems on AWS, engineered a legal research platform combining Neo4j and Weaviate, and built a cloud-native healthcare platform on Azure that reduced administrative time by over 15 hours weekly. My work emphasizes robustness, privacy, and operational excellence.

Previously at Global FinServ Corp I developed real-time ANPR systems using cascaded YOLO and CRNN models in C++ with Python backends, automated exam grading with OpenCV, and embedded vision solutions on Raspberry Pi integrated with ROS and FastAPI. I focus on high-performance implementations and seamless system integration.

I bring strong software architecture skills, cloud and DevOps expertise (AWS/Azure, containerization, CI/CD), and a commitment to measurable impact. I seek roles where I can lead production AI initiatives, improve system reliability, and mentor teams to deliver responsible AI products.