Nov 2024 – Apr 2026 · 1 yr 5 mos · Bengaluru, Karnataka, India · On-site

• Backend developer

Jul 2024 – Nov 2024 · 4 mos

• Implemented new GoTribe Loyalty program for flights which helps users get free seats while booking flights.
• Made the whole traveller form dynamic and config driven resulting in very flexible backend driven UI.
• Revamped the entire flow of Goibibo Backend to use the same flow as MakeMyTrip resulting in less efforts in integrating any future changes.

May 2022 – Jun 2024 · 2 yrs 1 mo

• Developed and maintained client backend system for flights, handling ~22 million
• requests per day, using Golang and gRPC.
• Fine-tuned Golang Garbage Collector, reducing the number of required containers by
• 25% and average CPU usage, resulting in significant cost savings in cloud operations.
• Achieved over 60% (51 GB/day) reduction in system logs volume, optimizing system
• performance and storage utilization.
• Created secure end-to-end flights API using Go and Gin, facilitating daily bookings,
• optimizing operations and enhancing customer experience.
• Created a middleware that masked personally identifiable information (PII) data while
• logging all requests, ensuring data security and privacy.
• Collaborated closely with frontend, app, design, and product teams to develop
• customer-centric flight booking products, enhancing the overall user experience.
• Played a key role in the successful migration of the old backend system to the new
• infrastructure, ensuring seamless transition and minimizing disruptions.

Jan 2022 – May 2022 · 4 mos

• Collaborated with the product team to enhance the customer experience by
• implementing new features in the client backend system for flights, while increasing test
• coverage by 15%.
• Contributed to the construction of a data logging pipeline for the Data Science team,
• facilitating the training of machine learning models and enhancing data analysis.

Feb 2021 – Nov 2021 · 9 mos · Bengaluru, Karnataka, India

• Developed an AI based College Recommender Engine which recommends colleges based on user response.