Rohit Kumbhar

I’m an AI/ML-focused Computer Science undergraduate (B.Tech in Computer Science and Engineering (AI & ML), 2022–2026) who enjoys turning messy inputs into reliable AI workflows. I build with LLM APIs, Retrieval-Augmented Generation (RAG), and data-driven pipelines designed to operate end-to-end.

In my AI Intern role in Cloud Engineering, I’ve served as a Project Lead on a flagship AI product built on Google Cloud. I architect and deploy production-grade AI/ML pipelines across Vertex AI, Cloud Run, BigQuery, Cloud Storage, Firebase, and Cloud SQL, supporting scalable processing of 10,000+ data transactions daily.

That work improved real operations—reducing manual operational effort by 45% and cutting deployment time by 30%—while aligning with enterprise-grade security and performance standards. I’m especially motivated by building solutions that feel customer-focused, not just technically correct.

My projects reflect the same mindset: a Customer Failure Detector that analyzes support transcripts to generate CX quality scores via structured prompt pipelines, a MeetMind agentic meeting assistant using chained Gemini API calls, and an NLP-based AI Resume Analyzer & Job Recommender using classification and similarity scoring. I bring a strong foundation in Python, machine learning, and data analysis, plus exposure to Microsoft Azure and the Google Cloud ecosystem.