Akhilesh S

I am a cloud-focused machine learning engineer with hands-on experience designing and migrating production infrastructure on AWS using Terraform. I build backend APIs in Python and deploy ML models as robust services that drive measurable product improvements.

At Gencoft Technologies I led the migration of production environments to Terraform-managed infrastructure, improved deployment reliability, and resolved production incidents through structured troubleshooting and clear documentation. I also developed and tested backend APIs for customer-facing applications and executed end-to-end functional and regression testing.

My academic work includes authoring five international research papers and publishing a conference paper on automated assessment using MathBERT and RoBERTa, where I integrated Flask deployments and a React front end to improve student engagement. In team projects I built LSTM forecasting pipelines with strong accuracy and optimized training workflows to reduce compute time.

I bring a blend of cloud engineering, MLOps, and full-stack development skills, paired with a collaborative approach to incident response, technical documentation, and customer communication. I seek roles where I can scale reliable ML services and infrastructure while continuing applied research and product-driven engineering.