SDE-1 @Tyloones Software || React.js || Next.js || Python || Django || Flutter || React Native || Node.js || MySQL || Express.js || Mongo DB || AWS || Scalable Microservices, Cloud Native & Real-Time Systems||

Noida, Uttar Pradesh, India




Master of Computer Applications, Computer Science
Maulana Azad National Institute of Technology

Bachelor's of science, Mathematics Hons
Utkal University
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Full-stack developer passionate about designing scalable real-time systems that deliver measurable impact. Over 2 years of experience building cloud-native platforms for high-traffic vehicle auctions (5,000+ daily users) at Tyloones Software. I specialize in React, Next.js, Node/NestJS, and AWS — with hands-on expertise in distributed architectures, Prisma ORM, and CI/CD automation. Recently architected 15+ microservices that cut auction latency by 45% and boosted reliability for nationwide clients. A problem-solver at heart (550+ challenges solved on LeetCode), I love optimizing performance and mentoring teammates in clean code and system design. I’m now looking to deepen my backend engineering expertise and contribute to scalable product ecosystems that impact thousands of users daily.
Bhubaneswar
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Software Developer 1 at Tyloones Software Private Limited, Mar 2024 - Present · 2 yrs 6 mos, Noida, Uttar Pradesh, India, Architected and deployed 15+ scalable microservices using NestJS, Redis, and Kafka, powering real-time vehicle auctions for 5,000+ active users across India. Engineered high-speed bidding workflows with WebSockets and Redis, enabling <200ms latency and seamless concurrency handling for thousands of parallel bids. Optimized database interactions using Prisma ORM with PostgreSQL, improving query performance by 20% and reducing response times for live auction data. Integrated third-party APIs for payment gateways, notifications, and reporting systems, ensuring secure and reliable transactions at scale. Designed and deployed a serverless CRM backend using AWS SAM, Flask, and Lambda, reducing infrastructure costs and boosting operational efficiency by 40%. Implemented cloud-native data processing pipelines using AWS S3, API Gateway, and DynamoDB, enabling automated reporting and customer insight generation. Collaborated with product and AI teams to integrate real-time analytics dashboards, improving visibility into client behavior and internal KPIs.
Master of Computer Applications, Computer Science, Maulana Azad National Institute of Technology
Bachelor's of science, Mathematics Hons, Utkal University