Aditya Raj

Designed and developed a production-grade AIOps platform enabling proactive anomaly detection, forecasting, alerting, and root cause analysis (RCA) for large-scale systems. Implemented time-series anomaly detection and short-term forecasting (2–3 days) using historical KPI data to predict abnormal system behavior. Built a model-driven analytics framework where KPIs, thresholds, dependencies, and alerting logic are dynamically configured using JSON, enabling rapid onboarding without code changes.

Product Development Engineer - Mahindra Comviva

(2024-04)

• Designed and developed a production-grade AIOps platform enabling proactive anomaly detection, forecasting, alerting, and root cause analysis (RCA) for large-scale systems.
• Implemented time-series anomaly detection and short-term forecasting (2–3 days) using historical KPI data to predict abnormal system behavior.
• Built a model-driven analytics framework where KPIs, thresholds, dependencies, and alerting logic are dynamically configured using JSON, enabling rapid onboarding without code changes.
• Developed advanced query pipelines across Elasticsearch and InfluxDB, supporting time-based aggregation, filtering (AND/OR/NOT), and KPI correlation analysis.
• Designed and automated a High Availability (HA) and Disaster Recovery (DR) architecture by synchronizing Redis, InfluxDB, and application configurations between Primary and DR environments.
• Implemented automated model recreation and retraining workflows during failover to ensure continuity of anomaly detection and alerting services.
• Developed and maintained backend REST APIs using Spring Boot to expose anomaly insights, alerts, recommendations, and RCA data to dashboards and external systems.
• Migrated the platform from a RHEL-based monolithic deployment to a Dockerized Ubuntu architecture, improving scalability, portability, and environment consistency.
• Built and maintained CI/CD pipelines and automated deployment workflows, reducing manual intervention and improving release reliability.
• Implemented centralized monitoring and observability using Grafana, enabling real-time visualization of 10+ production KPIs and anomaly overlays.
• Actively handled production incidents, performed root cause analysis, optimized system performance, and resolved critical deployment and configuration issues.

Intern - Mahindra Comviva

(2023-11 - 2024-03)

• Gained hands-on experience in enterprise backend development using Java, Spring Boot, JSP, and Servlets.
• Worked extensively with Linux-based systems and MySQL for application development and data management.
• Performed automation and unit testing using JUnit, ensuring code quality, stability, and functional correctness.

B.Tech - Computer Science and Software Engineering - CV Raman Global University, Bhubaneswar (2019-08 - 2023-05)