Achal Tomar

AI Fullstack Developer

LiquidLab • Tiempo completo

Jan 2026 - Present • 8 mos

Cloud-Native Performance Engineer & AWS FinOps Specialist My approach to AWS is different. I don't just click around the console; I bridge the gap between infrastructure and application code to find exactly where your money and time are going. 🏆 KEY ACHIEVEMENT: 50% Cost & Time Reduction Recently, I took ownership of a heavy AWS batch processing architecture that was bleeding money and running painfully slow. • Analyzed CloudWatch logs to trace execution bottlenecks down to the exact operations. • Identified a major flaw: GPU-intensive processes were running on standard CPUs, causing massive delays and over-provisioning. • Refactored the application codebase and modernized the AWS architecture to align compute with actual workload needs. • Result: Cut the client's AWS billing by 50% AND halved their total processing time. 🛠 TECHNICAL PROJECT HISTORY: • Compute & Containers: Deployed and managed highly available, auto-scaling Dockerized applications using AWS ECS, Fargate, and ECR. • Serverless Media Pipelines: Built end-to-end automated video transcoding pipelines using S3, EventBridge, Lambda, and AWS MediaConvert, delivering content globally via CloudFront (CDN). • Performance Auditing: Specialize in analyzing CloudWatch metrics to identify idle resources, memory leaks, and compute mismatches (CPU vs GPU), then refactoring the code to fix them. • Infrastructure: Deep hands-on experience with EC2, AWS Batch, IAM roles/policies, and security best practices. My philosophy is simple ... treat the client's infrastructure like my own. I don't recommend expensive band-aid solutions, I fix the root cause in the codebase. Ready to stop wasting money on bad cloud configurations? Send me a message and let's audit your setup.