I am a Senior Artificial Intelligence & Machine Learning Engineer with 7 years of experience leading the design and delivery of production-grade Generative AI and Agentic AI systems. I specialize in building LLM-powered applications, autonomous agents, and RAG architectures that operate reliably at scale. My expertise includes LLMs, Prompt Engineering, Agentic AI, CrewAI, MCP protocol, Vector Databases, Transformers (BERT), NLP, and Computer Vision. I have led end-to-end AI initiatives—from problem definition and system design to deployment, monitoring, and optimization—ensuring alignment with business goals and engineering best practices. I bring strong technical leadership, mentoring engineers, driving architectural decisions, and collaborating with product, data, and platform teams. I am experienced in building scalable APIs and AI services using FastAPI, Django REST Framework, and Flask, deployed on AWS and cloud-native environments. My core technical stack includes Python, NumPy, Pandas, TensorFlow, Keras, CUDA, SQL, MongoDB, and data visualization libraries, with hands-on experience in GPU optimization, ML/DL algorithms, and real-time inference systems. I am a results-driven, innovative engineer who thrives in complex problem spaces and fast-moving environments. I am passionate about building safe, scalable, and impactful AI systems while continuously evolving with the GenAI ecosystem. 💡 Open to senior GenAI, Agentic AI, and AI leadership roles where I can drive innovation, mentor teams, and build intelligent systems that deliver real-world value.