​Join Databricks on 28 Mar 2026 for a 2-day campus hackathon at IIT Bombay — hands-on learning of data and AI skills, followed by an intensive hackathon where you work on real-world challenges.

​Databricks engineers will guide you through an intro session covering:

• ​An overview of the Databricks platform

• ​AI/BI Dashboards, Genie, Unity Catalog, and Lakehouse architecture

• ​Hands-on demos and exercises

​Agenda

​Day 1 — 28 Mar 2026

• ​11:00 AM onwards: Check-In for Approved Participants

• ​11:00 AM – 6:00 PM: Intro to Databricks Workshop → Team Formation → Hacking Begins

• ​Hacking continues until 6:00 PM — then build overnight!

​Day 2 — 29 Mar 2026

• ​9:00 AM onwards: Reconvene on Campus

• ​9:00 AM to 3:00 PM: Build with Mentors

• ​3:00 PM: Code Freeze

• ​3:00 PM to 5:00 PM: Presentations & Judging

• ​5:00 PM to 6:00 PM: Winner Announcements

​Prize Pool

​🏆 ₹2,50,000 per campus

• ​🥇 1st Place ₹1,25,000

• ​🥈 2nd Place ₹75,000

• ​🥉 3rd Place ₹50,000

​Databricks swag for all successful submissions

​Top teams evaluated nationally — national winner gets Mentorship session with Databricks leadership + tech tour of Databricks India HQ in Bengaluru

​Who should attend?

​This event is open to all students. Content is especially relevant for pre-final and final year students studying computer science, engineering, information science, statistics, or data science, but all majors are welcome.

​Advance registration is required, please use your university email if available.

​Why attend?

• ​Build confidence working with Databricks

• ​Learn practical, in-demand data and AI skills

• ​Connect with Databricks engineers and leaders

• ​Receive 1 month of free Databricks Academy Labs access

• ​Compete for cash prizes and exclusive swag

​Speakers and Mentors

​Soumyashree Patra. Soumyashree is a Sr. Solutions Architect at Databricks focused on banking and financial services, helping enterprises design and scale cloud-native data platforms. With 16+ years in fintech and enterprise architecture at Accenture, TCS, and Databricks, she specializes in platform modernization, data governance, and responsible GenAI adoption for financial institutions.

​Ankit Yadav. Ankit is a Solutions Architect at Databricks driving GenAI adoption across enterprise customers. With 9+ years building production AI/ML systems and deep expertise in multi-agent LLMs, RAG architectures, and AI orchestration, he helps Manufacturing and Hi-Tech companies architect and deploy enterprise-scale generative AI solutions that transform their data platforms.

​Vishesh Arya. Vishesh is a Solutions Architect at Databricks and an IIT Bombay alumnus with 9 years of experience, helping India's leading tech companies solve complex data and AI challenges. He focuses on Unity Catalog governance, production ML/GenAI deployments, and enterprise data warehouse modernization. Vishesh has led large-scale AI initiatives for Indian unicorns across e-commerce, media & entertainment, gaming, and martech sectors.

​Tejashree Kamthe. Tejashree is a Sr. Solutions Engineer at Databricks specializing in data architecture and pipeline automation. With 10+ years architecting scalable data solutions at Fractal and Teradata, she's expert in PySpark, SQL, AWS, and infrastructure optimization—helping enterprises build reliable, high-performance data platforms.

​Ashveen Bansal. Ashveen is a Senior Software Engineer at Databricks, building payment and money systems at scale. An IIT Guwahati grad and INPhO Gold Medallist with 6+ years at Google and YC-backed Cone, he specializes in backend architecture, fintech systems, and infrastructure—having architected 75% of Cone's backend and earned rapid promotion at Google for solving critical system consistency challenges.

​Ajay Shah. Ajay is a Lead Solutions Architect at Databricks with 22+ years of cloud transformation, data analytics, and application modernization expertise. An AWS Data Analytics and Solutions Architect certified professional with an MBA from Jamnalal Bajaj Institute, he specializes in enterprise datalakes, data warehousing, and cloud migration across BFSI, telecom, and manufacturing sectors. Previously at KX Systems, AWS, Oracle, and Dell EMC, he has delivered measurable impact including 5-hour-to-10-minute ETL optimization and 60% reporting performance improvements. Proven thought leader with regular industry speaking engagements and technical publications.

​Anjali Jaisinghani. Anjali is a Specialist Solution Architect at Databricks designing cost-effective, scalable data pipelines. With 7+ years as an AWS Architect and Senior Big Data Engineer, she specializes in cloud data architecture, PySpark engineering, and large-scale migrations—helping organizations optimize their entire data ecosystem while driving business value through technology innovation.

​Just a few quick reminders to help the day run smoothly:

​1) Approval is on an individual basis If you're attending as a team, each member needs to be registered and approved separately. Because space is limited, we will only be able to admit approved participants. Due to security measures, there will not be any on-spot registrations and we cannot make any exceptions. Please do not arrive at the venue without approval.

​2) Arrival timing Registration opens at 11:00 AM, and we'll begin shortly after. To keep things fair for everyone, check-in closes once the session begins and we won't be able to admit late arrivals.

​3) In-person event This is an in-person-only event. If your plans change, we'd really appreciate you cancelling your spot so someone on the waitlist can join. We do keep track of no-shows to help us plan future community events fairly.