AI / ML Engineer | LLM Evaluation & AI Agents | Python • Generative AI • Data Pipelines | MSc Advanced Computer Science @ University of Liverpool
Building intelligent systems that solve real-world problems — from predictive models to scalable web solutions, with a passion for AI-driven innovation.
I build applied AI systems across LLM evaluation, AI agents, machine learning, and data analytics. I am currently completing an MSc in Advanced Computer Science at the University of Liverpool, with hands-on industry experience developing AI, automation, and data-driven solutions.
Most recently, I worked on an AI project with the University of Liverpool × Clyde & Co, developing an LLM evaluation system for legal AI. I built a Flask-based scoring engine, worked with TF-IDF and sentence embeddings, created a data pipeline for a 32-case legal dataset, and helped evaluate how automated scores compared with assessments from a senior lawyer.
At Bibby Marine, I built three AI agents for asset-management use cases and worked with Power BI, ETL queries, semantic data models, and Microsoft Copilot Studio to support analytics, automation, and operational decision-making.
My broader experience includes Python development, SQL, web development, automation, and data analysis, alongside research publications and certifications in Generative AI, Data Science, and AWS Cloud Foundations.
I am particularly interested in opportunities in AI Engineering, Machine Learning, Generative AI, LLM systems, and applied AI where I can build practical systems that solve real business problems.
An NLP-based system that extracts transcripts from YouTube videos and generates concise summaries in multiple languages including English, Hindi, Marathi, and Gujarati — supporting regional and low-resource language understanding.
A Machine Learning based text summarization system for Marathi — a low-resource language — designed to generate concise summaries from long regional language documents.
A software tool using HTML, CSS, JavaScript, MySQL, and PHP to automate the accreditation process and enhance institutional efficiency — reducing manual effort by 40% through integrated automation and optimisation.
A machine learning project that predicts breast cancer diagnosis using medical data and classification models built with Python and Scikit-learn — supporting early clinical detection.
A web-based guide book for specially abled users with speech-to-text and text-to-speech functionality, powered by the Web Speech API for enhanced accessibility and inclusivity.
A responsive web-based guide to Mumbai featuring hotels, food, shopping, and tourist attractions — built with HTML, CSS, JavaScript, Bootstrap, and Firebase authentication.
A machine learning web application that predicts multiple diseases — Diabetes, Heart Disease, and Parkinson's — using trained ML models and medical datasets, with a clean web interface.
A live web application that uses machine learning models to make predictions based on user input — featuring a simple, clean interface with a landing page, input form, and result pages.
Whether it's a collaboration, research opportunity, or just a hello — I'd love to hear from you.