Garima Garima

I’m a final-year IIT Madras B.S. student in Data Science & Applications (minor in Finance & Economics), and I build AI products by connecting evidence from research to roadmap execution. I enjoy turning complex insights into practical priorities that teams can deliver.

In a B2B AI SaaS setting at MIGRI Technologies, I supported business and product strategy by benchmarking enterprise AI firms, producing positioning matrices and feature comparisons that were adopted into the product roadmap within weeks. I also led TAM/SAM/SOM market sizing, structured industry classification, and identified first-target verticals to guide go-to-market prioritization.

I’ve paired market thinking with user-centered product work—mapping user workflows across multiple verticals to surface UX friction points and proposing improvements backed by competitive benchmarking. I evaluate technical feasibility too, auditing AI product stack layers and running 10+ model benchmark evaluations across research papers to inform development recommendations.

Through projects like Shop Assist AI and an RAG-based AI Virtual Teaching Assistant, I’ve led end-to-end delivery: user research for SMART stories, MoSCoW backlog prioritization, and agile execution for on-time milestones. I’m especially motivated by AI products that earn user trust through verifiable outputs, source attribution, and measurable customer impact.