AI/ML Engineer | Python, LLMs, NLP & Machine Learning
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Every business generates valuable data, but without the right strategy, it often remains unused. We help organizations transform raw data into meaningful insights by collecting, cleaning, analyzing, and visualizing information through interactive dashboards. Our solutions enable businesses to identify trends, optimize operations, improve decision-making, and leverage machine learning for accurate future predictions. Whether you're dealing with scattered data, inefficient reporting, or the need for AI-powered forecasting, we build scalable, cloud-ready solutions that help your business grow with confidence.
I am an AI Engineering graduate with hands-on experience building Python-based machine learning pipelines and generative AI applications. I develop modular, maintainable code for data preprocessing, feature engineering, model training, evaluation, and deployment-oriented workflows. During my AI/ML internship, I built an end-to-end insurance fraud detection system processing 10,000+ claim records and achieving 91% classification accuracy using ensemble models. I also created an NLP-to-SQL query engine using LLMs and prompt engineering, improving SQL generation through iterative testing, debugging, and edge-case handling. I am comfortable with Python, SQL, Scikit-learn, TensorFlow, Pandas, NumPy, Git, code review, and technical documentation. I bring a detail-oriented approach to debugging, code quality, model evaluation, and collaborative software development.
AI/ML Intern at SoftGrowth Infotech (Dec 2024 - May 2025)