Mahendra Ch

AI Engineer with 4 years of experience in Data Science, Machine Learning, and Artificial Intelligence. Proficient in Generative AI, large language models (LLMs), retrieval-augmented generation (RAG), and Agentic systems, with hands on experience building real world applications. Strong background in Statistics, data analysis and feature engineering, transforming raw data into predictive models and actionable insights that drive business impact. Continuously exploring new advancements in AI and committed to applying innovative, data driven approaches to solve real world challenges. Technical Skills: -> Programming Languages: Python, R -> Data Manipulation: NumPy, Pandas -> Data Preprocessing: Data Cleaning, Feature Engineering, Dimensionality Reduction -> Data Visualization: Matplotlib, Seaborn, Plotly -> Machine Learning: Regression, Classification, Clustering, Time Series Analysis (Scikit-learn, Statsmodels) -> Deep Learning: ANN, CNN, RNN, GANs, VAEs, Transformers -> Generative AI: Prompt Engineering, Large Language Models (LLMs), Embeddings, Vector Databases, Model Fine-Tuning, Retrieval-Augmented Generation (RAG), Agentic AI Systems, Azure OpenAI, Azure AI Foundry, AutoGen, LangChain, LlamaIndex, Hugging Face. -> Model Evaluation: Cross-validation, Hyperparameter Tuning -> Cloud Platforms: Azure, AWS -> Web Scraping: BeautifulSoup, Selenium -> Database Management: SQL -> Version Control: Git, GitHub