Oct 2023 – May 2025 · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

• Spearheaded the end-to-end architecture and delivery of a Unified Dispute Management System for UPI, IMPS, and AEPS transactions, slashing client action time from 2 hours to under 2 minutes. This accelerated SLA compliance and elevated customer satisfaction for leading financial institutions.
• Designed and implemented a concurrency-safe state-transition engine with robust blocking mechanisms to maintain data integrity amid high-volume dispute updates, ensuring seamless, conflict-free processing at scale.
• Engineered a non-blocking bulk raise request processor that empowered enterprise clients to submit thousands of disputes concurrently—significantly boosting throughput and system responsiveness without sacrificing data consistency.
• Led the development of a secure maker-checker workflow that enforces strict financial approval chains and auditability, ensuring compliance with stringent banking regulations and operational transparency.
• Directed the overhaul and optimization of high-throughput ETL pipelines processing over 250 million financial records, driving a 3× increase in data pipeline efficiency through strategic partitioning, parallelism, and Spark-based transformations—enabling near real-time reporting and compliance monitoring.
• Championed system security enhancements by integrating enterprise-grade SSO with SAML and LDAP, incorporating dynamic, zero-downtime SAML config updates to support seamless multi-tenant onboarding and secure access management.
• Established production-grade, cloud-agnostic infrastructure using Kubernetes (AWS EKS & Azure AKS), delivering scalable, highly available backend services with blue-green deployments and circuit breakers to guarantee uninterrupted service during rollouts.
• Mentored and grew a high-performing, cross-functional backend team, balancing hands-on coding in critical modules with strategic leadership—aligning engineering execution to product goals, operational observability, and system reliability.

Apr 2023 – Oct 2023 · 6 mos · Bengaluru, Karnataka, India · On-site

• Team: Engineering
• Transformed document-heavy workflows in legal and finance by building AI-powered automation agents using AWS Textract and domain-tuned LLMs. This reduced manual processing time by 40% and improved data extraction accuracy by 25%, directly increasing throughput and reducing SLA violations.
• Unblocked scalability challenges by re-architecting API infrastructure with AWS AppSync and Lambda, delivering a robust GraphQL layer that handled 1K+ requests/sec with low latency and zero downtime – critical for enterprise clients relying on real-time insights.
• Drove a major cost optimization initiative, cutting AWS bills by over 65% in 3 months. Audited and replaced underutilized services, shifted to S3 Intelligent-Tiering, enabled auto-scaling and usage-based Lambda orchestration, and rewrote Terraform IaC to eliminate redundant resources – without compromising performance or availability.

Jan 2022 – Apr 2023 · 1 yr 3 mos · Bengaluru, Karnataka, India · Hybrid

• Team: Core-Backend
• Revamped search infrastructure using ElasticSearch’s full-text search, filters, and near real-time indexing to optimize search relevance and performance. Achieved a 35% boost in system responsiveness, significantly improving user experience during peak load hours.
• Built robust authentication and authorization systems, implementing JWT-based auth and role-based access control (RBAC) that reduced unauthorized access incidents by 50%, bolstering platform security and auditability.
• Improved database performance at scale by analyzing query access patterns and tuning SQL with indexes, batching, and partitioning strategies—cutting IOPS by 40%, reducing query latencies by 80% (500ms → <100ms), and doubling API throughput.
• Enhanced system reliability and fault tolerance by integrating distributed messaging (SQS, SNS) and containerized microservices (Docker + gRPC), enabling graceful degradation and improved observability across key services.
• Reduced customer response time from 3 hours to under 2 minutes by designing and deploying a production-grade WhatsApp chatbot integrated with business workflows - leading to a measurable increase in user satisfaction and operational efficiency.

Aug 2019 – Jan 2022 · 2 yrs 5 mos · Bengaluru, Karnataka, India · On-site

• Department: Simulations and Physical Systems (AIOEY)
• Enhanced system performance and reliability by implementing the Shortest Path Algorithm to optimize routing of electrical signals through contactors, reducing processing time and saving architects and developers an average of 40 hours monthly.
• Improved the accuracy and fidelity of the Instrument Landing System (ILS) by developing a custom XML parser in Java to simulate secondary lobes of ground emitters, resulting in more precise behavior modeling and increased system robustness.
• Elevated MBSE system quality and uptime by designing and implementing CI/CD pipelines, automating testing and deployment workflows, which significantly increased release velocity and reduced manual errors.
• Innovated data organization and visualization by proposing a novel 2D graph clustering approach to group heterogeneous data points, enabling clearer insights and more effective analysis for engineering stakeholders.
• Led a cross-functional team of 5 engineers, driving end-to-end delivery of complex engineering models for high-profile SX2 and ATLAS projects.
• Consistently met project milestones through strategic planning, efficient team coordination, and proactive stakeholder communication, acting as the primary liaison to ensure alignment and rapid issue resolution.

Jul 2016 – Aug 2019 · 3 yrs 1 mo · Bengaluru, Karnataka, India · On-site

• Department: Electrification and Exhaust Treatment (EET)
• Developed embedded software for microcontrollers to process real-time sensor data, ensuring strict compliance with emission regulations and significantly improving system performance and accuracy.
• Enhanced system reliability and quality by designing and implementing automated sanity checks and comprehensive regression tests achieving 100% code coverage, reducing defects and accelerating release cycles.
• Built a robust data management system supporting ADC, SENT, PWM, and CAN communication protocols, boosting sensor system flexibility, scalability, and data processing efficiency across multiple hardware platforms.