Abhinit's Profound AI Rep
Meet Abhinit. He's open to collaborating with Web3 builders and learning from AI infrastructure engineers.

Abhinit Rai
Experience

• Led development of a POS custom integration platform enabling onboarding of enterprise vendors like McDonald’s and Americana to the Careem Super App, reducing merchant onboarding time by 99% and scaling integrations across 22k+ merchant outlets. • Architected and implemented end-to-end Order Creation and Real-time Order Tracking flows, handling 100k+ daily orders with 99.9%+ reliability and improving order status accuracy by 25%. • Built and maintained Order Creation, Promotion Event handling, and Webhook Event processors, enabling dynamic pricing updates, order lifecycle management, and robust external POS integrations. • Developed dynamic mission and challenge workflows using Netflix Conductor, empowering internal teams to configure user campaignswithout engineering dependency. • Collaborated cross-functionally with Product, Mobile, Merchant Ops, and External POS partners to ensure smooth integrations, production stability, and timely feature rollouts across multiple merchant categories. • Leveraged AI-assisted development tools (Cursor, Claude, ChatGPT) to accelerate backend implementation, API design, debugging, code reviews, and documentation, improving engineering productivity while maintaining production-quality standards.

• Led the design and implementation of a trading server, enabling seamless interactions with on-chain contracts for advanced trade functionalities on a Layer 3 blockchain. • Built an innovative Referral and Points system, allowing real-time tracking of user referrals and capturing insights from 1,000+ customer interactions, improving targeted engagement strategies. • Developed and launched a developer-friendly SDK, simplifying integration for 10+ external developers, reducing implementation time, and accelerating strategy deployment. • Designed a scalable data aggregation architecture, consolidating feeds from five major crypto exchanges to provide users with real- time market updates for informed decision-making. • Optimized server efficiency by implementing caching strategies, significantly reducing server load during peak trading hours and improving overall system responsiveness. • Utilized AI-powered coding assistants (Claude, ChatGPT) to accelerate SDK development, smart contract integrations, test generation, and refactoring while ensuring code correctness through manual validation and peer reviews.

• Designed and implemented a scalable Temporal workflow architecture to optimize financial transaction updates on a 2TB+ database, improving processing speed and ensuring seamless handling of 1.5 million transactions daily. • Developed and deployed the Remitter Backfill Workflow, enhancing real-time transaction identification and categorization on the Fi app, benefiting over 100,000 customers with improved financial clarity. • Played a key role in designing and building UPI-related services, including UPI Global, enabling secure and efficient digital transactions for 100,000+ users. • Engineered an advanced transaction categorization system, significantly enhancing merchant location accuracy and strengthening ATM transaction security, fostering greater trust and confidence among users. • Worked closely with cross-functional teams to optimize payment workflows, improve system resilience, and deliver a seamless fintech experience at scale. • Applied AI-assisted development tool ChatGPT for workflow design, SQL optimization, debugging, and documentation, reducing development time and improving overall engineering efficiency.

• Developed a dynamic seller dashboard for the retail application, consolidating key business metrics into a single, intuitive interface, enabling over 1,000 sellers to make data-driven decisions and improve operational efficiency. • Optimized database architecture by restructuring complex queries, significantly enhancing response times, and reducing latency, resulting in a more scalable and high-performing system. • Strengthened backend resilience by implementing efficient data retrieval strategies, ensuring seamless handling of large datasets, and improving overall application performance.

• Developed a robust GitHub Actions workflow to automate the creation of JAR files, streamlining deployment and accelerating release cycles for seamless software updates. • Designed and implemented a seller dashboard within the retail application, integrating key business metrics into a single interface. This feature has empowered over a thousand sellers with enhanced operational insights and strategic decision-making capabilities. • Gained hands-on experience in Java, Spring Boot, Microservices, AWS S3, and Athena, while also implementing Cron jobs to automate recurring tasks. Explored and contributed to the integration of gRPC for efficient service communication. • Led critical database optimizations by refining complex queries and enhancing architecture, significantly reducing response times and boosting overall system performance. • Collaborated closely with cross-functional teams to improve backend efficiency, ensuring scalable and resilient software solutions aligned with business needs.

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