I'm Tejas Bachhav

Binghamton University, New York

• Authored a research paper titled Optimal Device Sequencing and Kernel Assignment for Multiple Heterogeneous Machine Learning Accelerators accepted at the Great Lakes Symposium on VLSI 2025
• Improved hardware utilization by 15% for a heterogeneous set of ML accelerators by optimizing kernel placements for Cerebras CS-1
• Designed Pareto-optimized mapping strategies to maximize compute performance and improve overall efficiency on cloud

Accenture Solutions Pvt. Ltd, India

I worked as a Cloud Automation DevOps engineer for almost 3 years. I have gained practical experience in deploying hybrid and robust cloud solutions on multiple cloud platforms.

• Created 50+ Ansible playbooks integrating with Jenkins CI/CD and delivered technical support for hybrid cloud systems
• Reduced AWS VM provisioning time by 90% through Ansible scripts and streamlined post-deployment configurations
• Automated deploying of Apache, Tomcat web servers over 85 RedHat servers with security configurations as per client needs
• Drove down support ticket costs by 98% ($2,254→$46) and server provisioning costs by 98% ($511→$10.42) through cloud automation for a financial service client
• Designed resilient infrastructure using IaC and supported scalable deployments across Dev/UAT/Prod environments with AWS
• Reduced incident response time by 60% through on-call participation, real-time debugging, and implementing postmortem learnings
• Diagnosed network compliance drift across Cisco/Nexus switches and deployed automated fixes with 10x faster drift detection
• Automated user onboarding for Citrix VDI systems to map 700+ users and reduce efforts by 70% using PowerShell and Ansible