Ayush Singh

Developed a comprehensive staff and order management tool that significantly optimized food outlet operations and efficiency.

• Engineered a staff and order management tool, reducing manual order processing time by 30% and efficiently managing over 100 daily orders.
• Streamlined food outlet operations by developing an internal paperless system, boosting overall staff efficiency by 40%.
• Implemented robust web solutions to enhance operational workflows, directly contributing to improved service delivery and customer satisfaction.

Developed and deployed an SEO-optimized food menu website for a US-based startup, significantly enhancing online visibility and customer engagement.

• Delivered an SEO-optimized food menu website using Next.js, increasing search visibility by 40% for a US-based startup.
• Collaborated within a 3-member team to enhance user experience, resulting in a 70% increase in customer retention and improved operational efficiency.
• Designed and implemented responsive and intuitive UI/UX, ensuring seamless navigation and accessibility across diverse devices.

Enhanced operational efficiency by developing internal web tools and Python scripts for task automation and Robotic Process Automation (RPA) administration.

• Improved overall operational efficiency by 20% through the development of internal web tools and Python scripts for task automation and API failure log monitoring.
• Constructed a Robotic Process Automation (RPA) admin console using React.js and FastAPI, enhancing accessibility and reducing process failure logs by 15%.
• Implemented robust automation solutions that streamlined critical business processes and improved data integrity for the head office operations.

Led the AeroModelling Club, fostering innovation and participation in technical events and competitions.

• Organized and managed club activities, enhancing student engagement in aero-modeling projects and workshops.
• Represented the club in inter-collegiate competitions, including participation in HoverRace and TechKriti'23 at IIT Kanpur.
• Cultivated a collaborative environment for members to develop practical engineering skills and teamwork.

Developed a cross-platform expense tracking application leveraging AI for intelligent transaction extraction from mobile UPI and bank SMS notifications, providing users with seamless financial oversight.

Engineered an automated web scraping tool for YouTube, enabling users to download entire playlists and single videos with a robust and efficient API backend.

Deployed a dynamic real estate application allowing users to list properties for sale or rent, facilitating property search, locality viewing, and direct landlord contact.

Achieved Knight Level on LeetCode with 1870+ Max Rating and 3 Star on Codechef, demonstrating strong algorithmic and data structure proficiency through 1000+ solved questions across LeetCode & GeeksforGeeks.

Qualified for the idea submission round in Amazon HackOn Season 4, placing among the top 135 teams out of 6001 participants.

Achieved 98.14% percentile in JEE Mains and secured a top 2% rank in JEE Advanced, along with a 2544 Rank in WBJEE, demonstrating exceptional academic aptitude in engineering entrance examinations.