AI Engineer
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Entry-level AI Engineer with hands-on experience building end-to-end AI applications using Python, FastAPI, and Large Language Models (LLMs). Skilled in RAG pipelines, prompt engineering, API integration, and backend deployment. Built applied AI systems in healthcare and finance with focus on correctness, safety, and real-world constraints. Hungry to build and learn through hands-on, production-focused AI/ML work.
Entry-level AI Engineer with hands-on experience designing, building, and deploying end-to-end AI systems using Python, FastAPI, and Large Language Models (LLMs). Practical experience includes developing production-oriented GenAI applications with Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, and backend API integration. Worked on real-world AI use cases in healthcare and finance, focusing on reliability, safety constraints, data processing, and scalable inference pipelines.
Strong emphasis on applied engineering and deployment over academic theory, with experience leading teams in national-level hackathons and delivering functional AI products.
Bachelor of Engineering in Information Technology June 2022 – June 2026
CGPA: 8.3 / 10
