Akansha Mittal

Architected and delivered a geo-distributed telemetry platform on Azure Data Explorer (ADX) for one of the world's largest Kubernetes deployments, supporting 2M+ CPU cores across 1,500+ AKS clusters. Led end-to-end engineering across IaC, CI/CD, ingestion pipelines, schema design, RBAC/RLS, monitoring and alerting, while optimizing storage architecture and SKU selection to reduce infrastructure CO

Architected and automated a code-driven Grafana observability platform for Kubernetes infrastructure, enabling automated dashboard and data-source provisioning and lifecycle management of 200+ dashboards through CI/CD across public, sovereign and air-gapped clouds. Architected and delivered a centralized engineering intelligence platform integrating 50+ operational datasets through scalable Azure

Designed a DAG-based dependency analysis and deployment sequencing algorithm using topological sorting to maximize safe parallelization while preserving dependency correctness, reducing deployment wave counts by approximately 80%. Developed an AI-powered COGS anomaly detection system to identify abnormal spending patterns against historical baselines. Built an intelligent data inventory and classi

Developed a multiplayer SkipStorm minigame using Unreal Engine 5, implementing rope mechanics, player animations, dynamic 3D environments and gameplay variations. Integrated real-time multiplayer competition and collaboration.

Automated production monitoring and alerting for a data warehouse using Geneos, reducing manual support effort by 80%. Built Grafana dashboards for system health, operational KPIs and automation impact.

Grade: 9.29/10 CGPA

Pursued M.Tech in Artificial Intelligence, graduating with a CGPA of 9.29/10 and receiving the Silver Medalist distinction.

Grade: 9.37/10 CGPA

Completed B.Tech in Computer Science with a CGPA of 9.37/10 and was awarded the Bronze Medalist distinction.