Anup Vaibhaw

I worked as a Backend Consultant on a FinTech Payment Aggregator platform, where I designed and developed scalable backend systems to handle the complete transaction lifecycle, including orchestration, settlement, and reconciliation. The system was built using a microservices architecture with Python (FastAPI/Django), focusing on high availability, security, and performance. I implemented asynchronous processing pipelines using Celery and Redis to manage real-time payment updates, retries, and webhook-based status synchronization. One of the key challenges was ensuring idempotency and consistency across distributed services, which I solved using structured workflows and reliable event handling. I also integrated multiple third-party payment gateways, enabling seamless transaction processing and real-time reconciliation. The platform included secure authentication and authorization mechanisms using JWT and RBAC, along with optimized database schemas for audit logging and financial tracking. To ensure scalability and production readiness, I containerized services using Docker and designed a cloud-ready deployment architecture with CI/CD pipelines. This project strengthened my expertise in building distributed systems, handling financial transactions securely, and designing high-performance backend architectures for real-world, high-scale applications.

As a Senior Consultant at EY GDS, I contributed to backend-focused enterprise projects involving data processing workflows and scalable system integrations. I worked closely with cross-functional teams to design and implement structured data pipelines, ensuring reliability and performance across systems. My role involved developing and optimizing backend services aligned with enterprise standards, focusing on clean architecture, maintainability, and documentation practices. I gained hands-on experience working in a highly structured environment, collaborating with stakeholders, and delivering solutions that align with business and compliance requirements.

At SpacePe, I worked on building a multi-tenant Banking-as-a-Service (BaaS) platform, focusing on scalable backend architecture and secure financial systems. I developed backend services using Django, Redis, and WebSockets, and implemented distributed task processing using Celery for asynchronous workflows. I optimized PostgreSQL queries and introduced caching strategies, reducing API latency significantly. I also designed secure authentication and authorization systems using JWT and Open Policy Agent (OPA), ensuring strong access control and compliance. My role involved containerizing services with Docker, contributing to CI/CD pipelines, and collaborating on system design (HLD/LLD) and production support.

At Datastunt, I worked on multiple backend systems, including an AI-powered political analytics platform, an admin authentication system, and an automated messaging workflow system. I led backend development for a real-time analytics platform, integrating sentiment analysis pipelines and designing scalable REST APIs for high-volume data processing. I also built secure admin systems using Django and DRF, implementing JWT, OAuth2, MFA, and role-based access control. Additionally, I developed an asynchronous messaging system with scheduling capabilities, bulk data processing, and personalized templating workflows. I optimized system performance using parallel processing, rate limiting, Redis caching, and database indexing, and ensured production readiness through Docker and CI/CD deployments.

I completed my Bachelor of Technology in Electrical Engineering from Dr. A.P.J. Abdul Kalam Technical University. During my academic journey, I built a strong foundation in analytical thinking, problem-solving, and core engineering principles. Alongside my core subjects, I developed a strong interest in software development and programming. I started learning languages like Python and explored data structures, algorithms, and system design concepts. This shift in interest led me to transition into backend development, where I now focus on building scalable and efficient systems.