Prakash Agarwal
SDE1@Razorpay | Golang | Knight in Leetcode [Max Rating 1937] | Backend Developer | IIITDWD@2024 |
- Role
- Software Development Engineer 1 at Razorpay
- Location
- New Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Prakash Agarwal
I’m a software developer with a focus on backend development, machine learning, and scalable SaaS solutions. My goal is to create systems that make processes more efficient and solve real-world problems. With expertise in C++ language as primary which enable me to adapt easily to any language as per business needs and, MySQL, Docker, and AWS, I’ve built high-performance systems that improve workflows and reduce manual effort.During my internship at Doxper, I increased operational efficiency by 50% by optimizing API functions and automating reports. I also helped hospitals track prescription usage in camps for the first time by integrating new API features.I led the GlobalLearn project, an AI-powered platform that allows educators to dub their courses into multiple languages. This solution made education more accessible for over users and reduced educators\' workload by 40%. The platform was built using Python, TypeScript, Express.js, and AWS.In addition to these projects, I worked on a digital twin of my institute’s water supply system, using blockchain to improve water management. This reduced water waste by 15%. I also developed a multi-fingerprint authentication system that enhances security by requiring a specific sequence of fingerprints, reducing unauthorized access by 90%.I’m passionate about using technology to address complex problems and am always looking for opportunities to make a positive impact.Skills:C++|>>any language<<| MySQL | AWS | Docker | Machine Learning | Backend Developer | Database Optimization | Cloud computing Contact: p••••••••@gmail.com
Experience
Software Development Engineer 1
Dec 2024 — Present · Bengaluru, IN
Backend Developer• Onboarded the Payments Instrument table to TiDB, enabling real-time syncing with the main DB via a CDC–Kafka pipeline• Developed the Cardless EMI payment method on the Optimizer platform, involving coordinated changes across multiple microservices adding 35cr GMV to bussiness.• Implemented bin-SDK on optimizer service to migrate traffic from API monolith service to bin Service for IIN details • Migrated downtime auto resolve cronJob from API monolith to downtime-service
Education
Indian Institute of Information Technology Dharwad
Bachelor of Technology
2020 — 2024
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