AI Engineer with a solid Informatics foundation, specializing in architecting production-ready systems across NLP and Computer Vision. I have hands-on experience developing Agentic AI workflows, RAG pipelines, and real-time object detection models using YOLO. My focus is on building intelligent, scalable solutions that effectively bridge the gap between complex algorithms and real-world business requirements.
I have hands-on experience with containerization and cloud deployment using Docker and Azure (ACR/AAS), ensuring AI models are scalable and production-ready. Having mentored 60+ learners in end-to-end Data Science Course, I possess a deep understanding of the full development lifecycle and a strong commitment to maintaining robust, clean, and well-documented codebases.
- Retrieval-Augmented Generation (RAG)
- Deep Learning
- Computer Vision
- Natural Language Processing
- Data Science
- MLOps & Deployment