AI/ML Engineer

I am an AI/ML Engineer and Computer Science graduate specializing in Artificial Intelligence, with hands-on experience in machine learning, deep learning, data analysis, NLP, and Generative AI.

I build end-to-end machine learning workflows, from data cleaning and exploratory analysis through feature engineering, model training, evaluation, deployment, and monitoring. My core programming and data skills include Python, SQL, Pandas, NumPy, and relational databases.

During my AI/ML internships, I developed practical AI solutions including OCR document extraction, computer vision monitoring, LLM-powered automation, and reproducible machine learning pipelines. I have worked with real-world datasets and communicated technical trade-offs to cross-functional and non-technical stakeholders.

I have experience developing backend AI applications with FastAPI, REST APIs, React, Docker, and Git. I have also supported production deployment and monitoring of LLM-based products, with a focus on improving reliability and reducing inaccurate outputs.

My interests include recommendation systems, NLP, retrieval-augmented generation, AI agents, model evaluation, and AI product development. I am comfortable working with frameworks such as Scikit-learn, PyTorch, TensorFlow, LangChain, LangGraph, and LlamaIndex.

I am seeking an opportunity as an AI/ML Engineer or Data Scientist where I can apply analytical thinking and engineering skills to build reliable, data-driven AI products.