AI & ML Infrastructure Foundation

Designed AWS infra for ML-powered video translation with real-time inference

Project Overview

Designed and deployed foundational AWS infrastructure for a machine learning startup specializing in automating video translation and generation at broadcast quality. The solution enabled real-time inference services and API-based products with a focus on AI-driven video processing, enterprise security, and scalability. Emphasized automation, cost optimization, and observability to support rapid experimentation and seamless production deployment at scale.

Key Outcomes

Deployed real-time inference services with GPU-optimized EC2 instances

Automated scaling based on queue length and job priority

Integrated CloudWatch and OpenTelemetry for full-stack observability

Reduced infra costs via savings plans and workload right-sizing

Enabled product launches through fast and reliable infrastructure

Project Toolstack

AWSTerraformECSCloudWatchAWS RDSPostgreSQLDocumentDBAWS ElastiCacheRedisWAFv2AWS PollyPythonCircleCI

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