Bengaluru, Karnataka, India
I am a Senior/Lead Software Engineer specialising in distributed backend systems, high-throughput platform architecture, and scalable cloud infrastructure. Across my career at marquee enterprise brands, I have focused on optimising micro-services resiliency, data streaming integrity, and low-latency data access patterns. Core Technical Footprint: * Intuit IDC: Architecting high-scale platform services and financial infrastructure loops for QuickBooks Tax Setup engines. * Microsoft IDC: Engineered secure, resilient platform systems with the MS Defender Security Group. * Freshworks: Led engineering pods across Workflow Management and IT Service Management platforms to automate enterprise workflows. * Flipkart: Designed high-throughput asynchronous messaging queues and data engines across the Grocery and Fintech & Payments platforms. * Nvidia: Built scalable developer tooling and internal test orchestration infrastructure workflows. Technical Competencies: * Languages: Java · C# · Python · C++ · TypeScript * Systems & Cloud: Microservices · Distributed Systems Design · Azure · AWS · Kubernetes · Docker · Kafka * Data Stores: Redis · CosmosDB · HBase · MySQL * Domains: NLP · Information Retrieval & Extraction · Systems Automation Outside of core backend engineering, I have a deep interest in multimedia processing, including video and photo editing workflows. Let's connect, or reach me directly at: [email protected]
• Designed key QuickBooks modules for setting up tax and payment prerequisites, for 1.2M+ customers; leveraged Claude/AI for boilerplate and automation to boost velocity 3x. • Built a platform that safely moves tax data between QuickBooks and US/Canadian govt agencies, cutting manual engineering support and improving efficiency. • Worked directly with ops and core teams to automate changing govt tax requirements into code checks, reducing compliance bugs before production releases.
• Developed the Workflow Management Platform (WMS) for Freshservice, serving over 12,000 global customers. • Optimized search performance by integrating Elasticsearch, achieving a 35% reduction in workflow latency and a 40% increase in search request throughput. • Architected performance optimizations across core backend services, scaling throughput to 9,000 workflows per minute (WPM) while ensuring reliability during peak loads.
• Designed and implemented the core Security Categorization Platform to enable automated and manual classification of system security threats. • Optimized distributed indexing strategies for CosmosDB collections, achieving a direct reduction in backend service query response times. • Automated tenant onboarding, cutting manual processing time by 70% per case.
• Events Scheduling Platform: transitioning from API-based synchronous storage to an asynchronous delayed queue architecture to support 10M+ events daily. • Bucket-based system: for event prioritization, reducing notification latency to end customers by 40%. • Optimized HBase and Redis database access patterns, achieving a 30% improvement in data retrieval latencies.
Developed internal developer tooling to parallelize and manage GPU build workflows, significantly accelerating compilation times and engineering throughput.