Ajay Prajapat

• Designed scalable APIs and service workflows using Node.js, TypeScript, NestJS, and Spring Boot, improving delivery quality across enterprise logistics and platform products from 2021 to present.
• Implemented Kafka-based event-driven integrations and asynchronous processing patterns, increasing reliability for multi-stage shipment and operations workflows.
• Architected maintainable frontend modules across Angular, React, Next.js, and Vue.js/Nuxt.js, accelerating delivery of dashboards, portals, and internal tools across multiple product surfaces.
• Standardized Docker, CI/CD, and observability-oriented deployment practices, reducing release friction and improving production readiness across distributed teams.
• Partnered with product, QA, and platform stakeholders to drive system design decisions, keeping frontend and backend architecture aligned as scope expanded across several enterprise initiatives.

• Engineered Node.js payment services for event-driven banking workflows, improving resilience for high-volume transaction and settlement processing.
• Implemented RabbitMQ and Node-RED orchestration for asynchronous financial operations, increasing fault tolerance across distributed transaction flows.
• Built Redis- and MongoDB-backed audit, FX, and calendar modules, improving traceability and recovery for regulated payment workflows.
• Applied structured logging and monitoring-aware backend patterns, strengthening operational visibility for business-critical FinTech services.

• Led architecture for real-time monitoring platforms using Angular, NestJS, WebSockets, and AWS, improving visibility into machine telemetry and production operations.
• Developed live dashboards and backend telemetry services, enabling faster detection of downtime and abnormal equipment behavior on factory floors.
• Deployed Dockerized workloads on AWS, increasing environment consistency and scalability for industrial monitoring systems.
• Implemented monitoring and alerting workflows across APIs and operational dashboards, improving response readiness for manufacturing incidents.

• Delivered IoT streaming products integrating Raspberry Pi devices with Node.js and Angular applications, taking connected video workflows from prototype to production.
• Built full-stack modules for device control, user access, and content delivery, expanding product capability across firmware, backend, and frontend layers.
• Implemented authentication, streaming controls, and load-balancing workflows, improving reliability for video delivery use cases.
• Coordinated cross-functional execution as project manager and engineer, keeping hardware and software delivery aligned across release cycles.

• Developed campus ERP and LMS modules across frontend and backend systems, supporting academic administration and digital learning workflows.
• Built Node.js prototypes with Angular and React, accelerating research-led experimentation across multiple institutional use cases.
• Implemented API integrations and reporting workflows for learning systems, improving data flow across education products.
• Created reusable components and backend patterns, reducing repeated effort across campus platform features.

Key Contributions

• Designed shipment lifecycle APIs and backend service flows covering the core order-to-delivery workflow, using clear bounded contexts and maintainable service contracts for business-critical logistics operations.
• Delivered Angular and React workflow surfaces for logistics operations, aligning UI behavior with backend service contracts to improve tracking accuracy and reduce integration drift across operational dashboards.
• Built Next.js customer shipment-visibility flows on top of event-driven backend contracts, improving consistency between internal operations state and customer-facing status journeys.
• Introduced Redis caching and containerized deployment patterns across logistics services, improving API responsiveness and creating a more repeatable runtime model for Kubernetes-based operations.
• Integrated Kafka and queue-driven processing to increase shipment-event throughput, improve traceability, and strengthen operational reliability during peak logistics activity.
• Established structured logging and traceable event flows across logistics integrations, improving diagnosability and making multi-service shipment workflows easier to operate at scale.

Key Contributions

• Implemented LLM resume parsing, semantic search, RAG pipelines, and AI-generated interview question workflows.
• Designed matching flows that improved relevance between talent profiles, roles, and expert discovery journeys.
• Reduced manual screening effort through AI-assisted ranking, structured extraction, and recruiter support workflows.

Key Contributions

• Engineered Node.js payment services with RabbitMQ and Node-RED for event-driven, fault-tolerant processing across transaction, FX, settlement, and audit-related financial workflows.
• Built FX, holiday-calendar, and audit modules with MongoDB and Redis-backed workflows for resilient service operations and clearer domain separation.
• Improved transaction traceability through auditable event pipelines, service-level logging, and asynchronous processing patterns aligned to CQRS-style flows, reducing manual investigation effort during issue analysis.
• Strengthened reliability of high-volume payment operations through resilient integration, monitoring-conscious implementation, and recovery-oriented workflows.
• Contributed to backend patterns that prioritized traceability, controlled failure handling, and dependable financial processing.

Key Contributions

• Built tenant-aware Angular and NestJS modules for enterprise SaaS workflows.
• Designed RBAC APIs, tenant isolation patterns, and maintainable service boundaries to support secure multi-tenant operations with DDD-aligned modularity.
• Deployed Dockerized services on AWS (EC2, S3, IAM, Load Balancer) with container orchestration readiness for scalable delivery.
• Standardized release pipelines and deployment workflows to reduce delivery friction across client environments.
• Helped shape a platform structure that balanced tenant customization, governance, and long-term maintainability across backend and frontend teams.

Key Contributions

• Built Angular dashboards for real-time monitoring of packaging line performance.
• Integrated REST and WebSocket data streams for live machine health, asynchronous telemetry handling, and downtime visibility.
• Implemented threshold-based alerting, centralized operational visibility, configurable charts, and monitoring-friendly telemetry flows for faster response.
• Improved incident detection and response times on production floors through observability-focused monitoring flows.
• Supported maintainable backend and UI patterns for operational analytics in industrial production environments.