AI Engineer with hands-on experience in building intelligent systems, AI agents, and LLM-powered applications. Skilled in developing end-to-end pipelines involving model training, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and autonomous AI agent workflows. Possess a strong mathematical foundation in linear algebra, probability, optimization, and statistics for effective model development and evaluation. Experienced in deploying scalable AI systems, integrating multimodal models, and leveraging modern AI stacks such as LangChain, Pinecone, Qdrant, Transformers, and OpenAI/Gemini APIs.
Demonstrated problem-solving ability through 380+ LeetCode problems and a 365+ day streak. Passionate about creating practical AI products that drive measurable real-world impact.
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