Headline

Data & AI @ EY | GenAI • Analytics • Tech Strategy | McGill Research Intern’24 | DTU, Mathematics & Computing’26

About

As an Associate Consultant at EY in the Data & AI practice, I work on AI and data-driven solutions, including AI engineering, data analytics and technology consulting initiatives aimed at solving real-world business and organizational problems. My experience sits at the intersection of technology, strategy, and business. I’ve worked on Generative AI, Machine Learning and analytics, while gaining experience in deep-tech strategy, business development, grant acquisition, and research. During my undergraduate years at DTU, I gained research experience in applied machine learning and data science at McGill University, worked as a Systems & Strategy Associate at Bramer across autonomous drone technology, go-to-market strategy, and business growth initiatives, and later worked as an AI Engineer Intern at uCube.ai, building multimodal RAG solutions. What excites me is how technology can shape products and strategies and turn ideas into practical solutions.

Location

Delhi

AI stack

antigravity

claude

windsurf

Work experience

Associate Consultant at EY, Jul 2026 - Present · 3 mo, Aerocity, Delhi, • Data & AI Tech Strategy • Generative AI and Digital Transformation

AI Product Development Intern at uCube.ai, Feb 2026 - May 2026 · 3 mo, Bangalore, Karnatka, • Contributed to developing a Multimodal legal RAG assistant that simplified access to legal informaIon through voice and text-based interactions with typed and scanned documents. • Helped build document-understanding and intelligent search workflows to enable users to retrieve relevant legal information and receive context-aware answers. • Supported the development of end-to-end product workflows, from document ingestion and information extraction to AI-generated responses, helping translate Generative AI capabilities into a practical user-facing solution.

Systems & Strategy Intern at Bramer, Mar 2025 - Jul 2025 · 4 mo, Delhi, India, • Expanded B2B/B2G pipeline by pitching AI-enabled drones for construcIon, agriculture, and defence use cases. • Contributed to proposal development that secured an iDEX grant by aligning technical capabiliIes with stakeholder needs. • Pitched a drone-based ground-penetrating radar (GPR) solution to the Border Roads OrganisaIon for remote soil tesIng.

Research Intern - Applied ML & DS at McGill University, May 2024 - Aug 2024 · 3 mo, Montreal, QC, I had the opportunity to contribute to maternal health research at McGill University, where I honed my Data Science and Machine Learning skills. • Processed over 250 spectroscopy datasets, ensuring high-quality and analyzable data for research purposes. • Employed PCA for dimensionality reduction, uncovering essential biomarker patterns relevant to maternal health. • Gained hands-on experience with artificial neural networks, enhancing my understanding of predictive modeling in biomedical contexts.

Education

Bachelor of Technology - B.Tech, Mathematics and Computing, Delhi Technological University (Formerly DCE)

High School Diploma, DAV Public School, BRS Nagar