Chandan Kumar

Senior Backend Engineer with 5+ years of experience designing scalable distributed systems and high-throughput financial platforms using .NET Core, Kafka, Azure, and Microservices. Experienced in event-driven architectures, REST APIs, AI-powered automation, and cloud-native backend systems. Strong expertise in system design, fault tolerance, scalable ETL pipelines, and LLM/RAG integrations for enterprise applications.

Senior Software Engineer - III at BlackRock (2025-04 – Present)

• Owned backend architecture decisions and collaborated with cross-functional teams to deliver scalable, fault-tolerant enterprise workflows.
• Developed AI-powered invoice processing workflows using Azure Document Intelligence and LLM integrations, reducing manual processing effort by 60%.
• Designed and optimized RESTful APIs using ASP.NET Core with asynchronous processing and scalable architecture patterns.
• Implemented resiliency patterns including retry handling, fault tolerance, and error recovery mechanisms.

Senior Software Engineer - II at Morgan Stanley (2022-09 – 2025-04)

• Led modernization of mRDC platforms, improving transaction processing performance and scalability by 15%.
• Re-architected monolithic applications into microservices, improving scalability and overall system performance by 20%.
• Designed Kafka-driven event processing architecture with retry, fault-tolerance, and asynchronous communication patterns.
• Built distributed transaction pipelines processing 1M+ banking events per day with low-latency event handling.
• Mentored engineers, conducted code reviews, and contributed to engineering best practices and architecture discussions.

Associate Software Engineer at GlobalLogic (2021-12 – 2022-09)

• Developed and maintained backend services using C# and.NET technologies for a Digital Energy Platform, improving operational efficiency by 40%.
• Designed real-time data pipelines integrating market, weather, and operational datasets to support forecasting and energy optimization workflows.
• Implemented machine learning-based forecasting models that improved prediction accuracy by 20% and enhanced planning capabilities.

B.Tech in Computer Science Engineering – Durgapur Institute of Advanced Technology and Management