AI/ML Engineer with hands-on experience in full-stack development by creating end-to-end applications. Eager to build robust, scalable software that integrates intelligent features to deliver exceptional user experiences…
AI/ML Engineer with hands-on experience in full-stack development by creating end-to-end applications. Eager to build robust, scalable software that integrates intelligent features to deliver exceptional user experiences.
Learned core Python concepts.
Developed IntelliDoc QA, a document-question answering tool that automates information extraction and improves query accuracy.
Gained a solid foundation in core AI/ML concepts, including supervised/unsupervised learning, neural networks, and model evaluation.
Engineered an AI ethics auditing system using Python and IBM Watsonx.ai (Granite-3.3-8B-Instruct) to identify bias and compliance issues in AI outputs.
Designed a RAG pipeline using Python, FastAPI, and LangChain, leveraging OpenAI's LLMs to cut PDF data analysis time by 90% via a semantic chat interface.Implemented document chunking, embedding generation, and vector-based retrieval to improve response relevance and scalability.
Created a browser-based Generative AI tool using Vanilla JS and Google's Gemini API to generate 4+ marketing assets from a single upload, reducing content creation time for users by 95%.
The AI-first Recruitment Operating System that unifies and automates the entire hiring lifecycle for modern enterprises worldwide.
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