Vivek Chathayil

🚀 Computer Science Graduate | AI/ML Engineer | Data Science Engineer focused on shipping end‑to‑end ML products across NLP, time‑series, and data applications that solve real user problems. Currently interning at Speridian Technologies, exploring AI use cases for banking customer feedback and debt recovery while validating findings with a Django web app. Recent work includes ExpenseWell, where NLP auto‑categorizes spend and time‑series models forecast budgets inside a real‑time Django pipeline from ingest to visualization. Built Stocker, a Streamlit app using Alpha Vantage and Gemini for multi‑exchange charts, RSI screening, and portfolio P&L with sector and sentiment insights plus secure configuration. Developed a transformer‑based sentiment analyzer in Django powered by ROBERTa, delivering batch analysis, reports, and actionable statistics for large text datasets in production‑like flows. Core stack spans Python, TensorFlow, PyTorch, scikit‑learn, Hugging Face, pandas, NumPy, Django, Django REST, Streamlit, and MySQL, with RESTful APIs and Power BI exposure. Comfortable designing APIs, wiring data pipelines, and turning notebooks into skimmable, production‑ready features with clean UI patterns and environment‑based secrets. Certified as Oracle Cloud Infrastructure AI Foundations Associate, with coursework in deep learning, ML, cloud, and DSA during a B.Tech in CSE and continuous project practice. Open to AI/ML and Data Science roles or internships in India, with interest in product teams where models meet users through thoughtful engineering and measurable outcomes.