🎯 Open to New Grad 2027 SWE / ML / Data Engineering roles. If my work looks like a fit, let's connect!

💻 Working on Intuit's core data products (Mailchimp)  •  🌱 Exploring Agentic AI: LangChain, LangGraph, RAG & GenAI

I'm a Computer Science grad student at Georgia Tech who loves building things where data, machine learning, and solid engineering meet. Right now I work on the data platforms behind Mailchimp at Intuit, and outside of that I spend most of my time tinkering with agentic AI and GenAI, trying to turn LLMs into systems that actually do useful work. I've shipped everything from full-stack finance apps to large-scale ETL pipelines and research-grade LLM benchmarks, and I care a lot about writing code that's clean, reliable, and built to scale.

• 💻 Currently at Intuit on the Mailchimp core data products team, building large-scale data platforms with Airflow, Cloud Composer, BigQuery, Dataform, PySpark, Docker & Kubernetes
• 🤖 Exploring Agentic AI: building agentic applications with LangChain & LangGraph, RAG pipelines, and GenAI-powered ML/NLP systems
• 🎓 Pursuing an MS in Computer Science at Georgia Tech, specializing in Machine Learning
• 🏅 Graduated Rank 1 from College of Engineering Pune (COEP), B.E. Computer Engineering (Honors in Data Science), CGPA 9.81/10, Department & Institute Gold Medalist
• 💼 Previously Software Engineer at Wells Fargo, building financial systems spanning trading-portfolio and corporate-treasury allocation
• 🔬 Research Intern at MIDAS Lab, IIIT Delhi, built Indian-context benchmark datasets and evaluated reasoning capabilities of open-source LLMs
• 🏢 Summer Intern at Citi, supporting migration of an internal process-automation tool UI
• 💬 Ask me about: Agentic AI & GenAI, Machine Learning / Deep Learning, large-scale data engineering (ETL & pipelines), and full-stack engineering (MERN, LAMP, MEAN, Django)

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