Jun 2025 – Aug 2025 · 2 mos · Delhi, India · Hybrid

• Migrated GCP virtual machines to Azure by converting and validating VHDs, resolving disk format and compatibility challenges using QEMU and Azure CLI.
• Configured Azure resources including storage accounts, containers, and managed disks to support secure and scalable VM deployment.
• Automated infrastructure migration using Azure Migrate, optimizing cross-cloud lift-and-shift processes.
• Built machine learning pipelines in Python for real-world datasets, applying regression, classification, and clustering models.
• Applied model tuning, feature engineering, and evaluation techniques to improve ML model performance and interpretability.

Sep 2024 – Oct 2024 · 1 mo · Delhi, India · On-site

• Authored engaging and informative articles on AI trends and innovations for the university magazine.
• Created impactful captions and content for social media posts to increase club visibility and engagement.
• Collaborated with the editorial and design teams to align written content with visual themes and AI topics.
• Researched and simplified complex AI concepts to make them accessible to a wider student audience.
• Contributed to content planning strategies to support event promotions and knowledge sharing initiatives.

Jan 2024 – Jun 2024 · 5 mos · India · Remote

• Designed intuitive and responsive UI layouts for Inaxia’s fashion e-commerce platform using Figma and Adobe XD.
• Developed dynamic front-end interfaces using HTML, CSS, JavaScript, and React.js tailored for the fashion retail industry.
• Collaborated closely with the design and content teams to ensure brand consistency across digital touchpoints.
• Implemented mobile-first design strategies to enhance user experience and engagement across devices.
• Optimized frontend performance and integrated user-centric features based on iterative feedback and usability testing.

Jun 2023 – Jul 2023 · 1 mo · Gurugram, Haryana, India · On-site

• Developed a C# application to interface with serial ports and capture real-time currency data from connected hardware.
• Implemented logic to parse incoming data streams, accurately distinguishing between currency recognition codes and port identifiers.
• Optimized the program for reliable multi-port handling and precise currency classification, ensuring robust performance during high-frequency input.