Backend Software Engineer

Developed Spinny's Spares procurement platform using Python, Django, PostgreSQL, and Redis. Architected the procurement funnel and vendor-broadcasting workflows, reducing long-tail parts turnaround time from 10 days to 3 days and overall procurement turnaround time from 24 hours to 3 hours.

Designed a state-machine-based logistics service for order lifecycles and car movement tracking. Built event-driven Kafka and Celery workflows supporting 150K+ notifications daily, automated 25K+ invoice and document transactions per day, and created Anthropic Claude SDK and n8n-based agents that reconciled a 50K+ invoice backlog while reducing manual effort by 80%.

Improved backend scalability through PostgreSQL query optimization, indexing, Redis caching, and asynchronous processing. Used Kibana and AWS metrics to identify bottlenecks and reduce CPU utilization from 92% to 75%.

Enhanced inventory, catalogue management, and reservation services supporting core Spares operations and business workflows.

Refined reservation workflows and database operations, reducing average reservation API latency from 2000ms to 300ms. Proactively triaged and resolved production issues and backend defects across critical workflows, bringing reported bugs close to zero.

Engineered backend services for StudySync, a Django-based e-learning platform. Developed REST APIs and core learning workflows using Python, Django, and Django REST Framework.

Implemented attendance, user-profile, and learning modules using database models, serializers, validations, and REST APIs. Built chatbot-driven mathematical problem-solving workflows and improved Django ORM queries and API operations, reducing application latency by 20%.

CGPA: 8.71/10.0.