Manasvi Sakalley

I’m a confident, collaborative professional with strong adaptability to emerging technologies, focused on applied machine learning across NLP, deep learning, and computer vision. I’m currently enhancing my skills in Large Language Models (LLMs) and Prompt Engineering to build more capable and useful AI experiences.

In my ML internship (Jan’24), I worked on real-world ML problem statements with an emphasis on deployment and integration. I developed SpamShield, a spam email classification system using a Naive Bayes approach, preprocessing data with Numpy and Pandas, training/evaluating with Scikit-learn, and integrating real-time predictions into a Django web framework with an interactive UI.

I also built an ML model in a hackathon setting (Nov 2024) to calculate vehicle carbon emissions and integrated it into a website with eco-friendly routes. I enjoy collaborating with teams to design and deploy AI/ML solutions, and I’m passionate about using technology to deliver efficient, innovative results in dynamic environments.