AI/ML Engineer focused on agentic systems, RAG, and full-stack AI product development. Experience includes building Python-based NLP pipelines, deploying transformer models, and developing AI meeting, voice AI, and Gmail…
AI/ML Engineer focused on agentic systems, RAG, and full-stack AI product development. Experience includes building Python-based NLP pipelines, deploying transformer models, and developing AI meeting, voice AI, and Gmail follow-up tools using FastAPI, LangGraph, and modern web technologies.
<p>Improved model accuracy by engineering end-to-end Python pipelines for preprocessing, feature engineering, and evaluation using Scikit-Learn and PyTorch, writing test cases ahead of model iterations to validate outputs.<br>
Deployed 3 production-ready NLP workflows (sentiment analysis, text classification, keyword extraction) by integrating Hugging Face transformer models into reusable, documented LLM pipelines for reproducibility and downstream agent use.</p>
<p>Shipped 10+ client web applications on schedule by translating requirements into responsive production code, running cross-device QA and pre-deployment test passes before every release.<br>
Cut repetitive implementation time by approximately 30% by building reusable TypeScript components and a shared design system adopted across client projects.</p>
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