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Prabal Baijal

Prabal Baijal

Full Stack (AI) Developer

Talent
AgraMember since May 28, 2026
CSSNode.jsNext.jsMongoDBTailwind CSSRedisData Structures and AlgorithmsBackend DevelopmentTypescriptReact.jsExpress.js
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CSSNode.jsNext.jsMongoDBTailwind CSS

About

Refactored an existing platform to support a multi-tenant SaaS architecture, redesigning database schemas and access patterns to enable scalable white-label deployments across 5+ clients and 10,000+ users. Designed and implemented an AI-driven answer evaluation pipeline using LLMs and OCR with BullMQ, and Redis. Optimized processing of large submissions (50+ pages) via asynchronous worker architecture, reducing latency to 3 minutes.

Experience

Full Stack (AI) Developer at Answerwriting.com (2026-01 – Present)

  • Refactored an existing platform to support a multi-tenant SaaS architecture, redesigning database schemas and access patterns to enable scalable white-label deployments across 5+ clients and 10,000+ users.
  • Designed and implemented an AI-driven answer evaluation pipeline using LLMs and OCR with BullMQ, and Redis.
  • Optimized processing of large submissions (50+ pages) via asynchronous worker architecture, reducing latency to 3 minutes.
  • Built fault-tolerant workflows with retry mechanisms, reducing pipeline failure cases by 30%.
  • Led migration of payment gateway from PhonePe to Razorpay, enhancing transaction success rate by 15-20%.
  • Developed a credit-based billing system to enable monetization and controlled feature usage.
  • Implemented idempotent APIs and webhook delivery system processing across 1000+ external events.
  • Engineered frontend features using Next.js and Redux, improving performance and user experience.

Software Development Engineer Intern at Redingle (2026-02 – Present)

  • Integrated Finvu Account Aggregator APIs for secure user consent and financial data aggregation for 15000+ users.
  • Designed an asynchronous data ingestion pipeline using GCP Pub/Sub for large-scale financial data processing.
  • Modeled scalable MongoDB schemas (time-series + snapshot), improving query efficiency by 25%.
  • Developed RESTful APIs powering a personal finance dashboard used by 15,000+ users.
  • Built a dashboard using Next.js for visualization of transactions, insights, and financial data.
  • Implemented SSO-based authentication and session management, handling secure token exchange.

Education

MCA in Master of Computer Applications – Motilal Nehru National Institute of Technology Allahabad (2023-26)

Skills

Full Stack (AI) Developer

Reviews

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