AI/ML Engineer

I am an AI/ML Engineer focused on building practical machine learning, large language model, retrieval-augmented generation, and computer vision solutions. I work primarily with Python and have experience delivering systems that improve accuracy, response relevance, and operational efficiency.

I have built an LLM-based chatbot using Google Gemini, LangChain, FAISS, and ChromaDB. My work included document retrieval, query classification, conversational memory, prompt templates, persistent vector storage, and fallback handling for out-of-scope questions.

I have hands-on computer vision experience with TensorFlow, OpenCV, YOLO-based detection, and vehicle tracking approaches such as DeepSORT and ByteTrack. I have worked on traffic safety and manufacturing defect-detection use cases, including model deployment and evidence capture workflows.

My machine learning experience includes classification, regression, clustering, customer segmentation, and bankruptcy prediction. I am comfortable with data cleaning, exploratory data analysis, feature engineering, model training, and evaluation using metrics such as accuracy, precision, recall, and F1-score.

I also work with SQL databases, REST APIs, Streamlit, Power BI, Docker, cloud platforms, CI/CD, and unit testing. I collaborate directly with business stakeholders to understand requirements and translate them into usable technical solutions.