Viraj Divekar

Working with the AI and data analytics team on developing machine learning models for insurance risk assessment, applying data preprocessing and feature engineering to structured financial datasets. Exploring automation of claims processing workflows using AI-driven pipelines to reduce manual effort and improve operational efficiency.

Iteratively redesigned the company website over 5 months applying UX research, user feedback loops, and A/B testing principles, directly improving visitor engagement and customer acquisition metrics. Integrated Framer AI and Figma AI into the prototyping workflow to automate asset generation and accelerate design cycles; audited 10+ emerging generative AI tools and presented adoption recommendatio

Developed LLM-based AI agent pipelines and generative AI workflows using prompt engineering techniques to automate business processes and reduce manual decision-making overhead. Trained and fine-tuned machine learning models end-to-end, covering data preprocessing, feature engineering, model training, hyperparameter tuning, and evaluation across real-world datasets.

Planned and executed Instagram content strategy for 9 months, growing community engagement and driving visibility for club events, fundraisers, and social initiatives.

Grade: 8.39 CGPA

Pursuing a Bachelor of Technology in Computer Science with a focus on AI and ML, maintaining a CGPA of 8.39.

Completed a certification covering Data Science, Machine Learning, Deep Learning, and NLP.

Earned the IBM Full Stack Software Developer Professional Certificate, covering React, Node.js, Django, Docker, Kubernetes, and IBM Watson AI.