Aditya

Owned the redesign of the platform's core data layer, replacing a single JSONB blob with a normalized multi-table relational model across multiple microservices, eliminating the scaling bottleneck. Owned the resilience and latency optimization for multi-service data aggregation, cutting API response time by 3X through fault-tolerant design – retry, timeout, circuit breaker, and concurrency handling.

Software Engineer at Maersk (2026-03 – Present)

• Owned the redesign of the platform's core data layer, replacing a single JSONB blob with a normalized multi-table relational model across multiple microservices, eliminating the scaling bottleneck.
• Owned the resilience and latency optimization for multi-service data aggregation, cutting API response time by 3X through fault-tolerant design – retry, timeout, circuit breaker, and concurrency handling.

Associate Software Engineer at Maersk (2024-07 – 2026-03)

• Owned the Postmortem Platform end-to-end – architecture, design, security, and CI/CD-driven deployment – from concept through production operations.
• Architected the platform's real-time collaborative editing engine using field-level distributed locking, TTL-based auto-recovery, WebSocket synchronization, and distributed caching, enabling conflict-free editing for 100+ concurrent users across 1,000+ daily active users.
• Cut RCA turnaround time by 85–90% at 93% accuracy and under $0.10 per postmortem by building an RCA service on an LLM + RAG pipeline integrated with Spring Boot.
• Enabled cross-product reuse of LLM services by exposing them via MCP server APIs.
• Cut release time by 60% by setting up Kubernetes-based CI/CD with GitHub Actions.
• Improved availability and cost efficiency by adding Horizontal Pod Autoscaling (HPA) for microservices.
• Cut MTTR to under 5 minutes with 100% proactive alerting (Prometheus, Grafana, Loki) that detects spikes, degradation, and outages, and auto-raises incidents.

Software Engineer Intern at Maersk (2023-06 – 2024-06)

• Reached 1,000+ daily users by building the frontend (React) for a work insights dashboard covering prioritization, incident tracking, and task tracking.
• Improved response performance by 50–60% by designing and optimizing Spring Boot REST APIs with joins, filtering, and pagination.
• Improved release velocity by 40% by containerizing deployments and building CI/CD with Docker and GitHub Actions.

Bachelor of Technology in Computer Science – Poornima College of Engineering (2020-08 – 2024-05)