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Resume

Experience

2021 - Present

Custom Application Tech Lead

Accenture

India

Role:
● Develop and execute cloud solutions architecture for GenAI applications through comparative analysis of different cloud
platforms and LLMs.
● Leverage Azure DevOps, Terraform and python to automate infrastructure setup, CI/CD pipelines and code deployment in
Azure Cloud.
● Collaborate with project managers and business analysts to drive the successful implementation of technology solutions,
while identifying and assessing emerging technologies and tools to align with business objectives.
● Implement DevSecOps measures utilizing a shift-left approach, SAST and DAST tests, and optimizing productivity with
Kubernetes, Docker, and GitLab.
● Execute an extensive observability strategy and solution design using Prometheus, Grafana, Thanos, ELK Stack.
● Coach and mentor- collaborate with junior DevOps engineers and developers.

 

Highlights:
● Created and implemented cost-efficient GenAI use-case architecture and prompts resulting in 40% improvement in response
time.
● Led 80% increase in operational efficiency by implementing Infrastructure as a Code and CI/CD pipelines.
● Defined key performance indicators, monitoring requirements, and incident response protocols reducing manual effort by
60% and improving overall system reliability by 30%.

2019-2021

Senior DevOps Engineer

Oracle

India

Role:
● Enhance Continuous Integration (CI) processes by integrating GitHub, Jenkins, SonarQube for code quality & analysis and
Docker builds.
● Execute on-premises cloud migration and cloud computing using OCI.
● Automate tasks through Python scripts and YAML templates for streamlined configuration processes, resource provisioning,
bucket creation, secrets management, database connections and deployments.
● Utilize GitLab for continuous deployment using automated workflows within a Kubernetes orchestration framework.
● Implement monitoring and logging systems, offering real-time insights into each running microservice instance.

 

Highlights:
● Optimized build management and workflows.
● Improved system performance by 25% and implemented scalable solutions resulting in a 50% reduction in downtime.
● Configured queries in the alert manager for proactive issue identification and troubleshooting.

2017-2019

DevOps Engineer

Wells Fargo

India

Role:
● Maintain and optimize release tools and infrastructure, including Jenkins, Git, and Artifactory for efficient and reliable
software releases.
● Collaborate on release planning and coordination activities, including release scheduling, risk assessment, and change
management
● Ensure compliance with regulatory and security requirements for software releases by coordinating with security and
compliance teams to implement necessary controls and documentation.

 

Highlights:

● Proactively monitored and resolved release issues, such as build failures, deployment failures, and environment issues, to
minimize downtime and ensure high-quality software releases.
● Provided technical guidance and support to development teams on release-related topics, such as branching and merging
strategies, build configurations, and deployment procedures, to ensure consistent and high-quality software releases.

2014-2017

System Engineer

IBM

India

Role:
● Migrate TeamCity to Jenkins, Maven to Gradle, and SVN to Git.
● Collaborate within the IBM community, utilizing tools like Jenkins, Nexus, Ant, Maven, Gradle, SVN, Git, Nolio, and Sonar for
automation and integration in Java and .Net applications.
● Consult with clients on project status, ideas, and technical difficulties.

Highlights:
● Observed IBM's standards for compliance, quality, and security, and made sure that all systems and solutions adhere to these
specifications.
● Produced a ton of paperwork, including simple how-to guides for routine administrative chores.

Technical skills

Automation scripting: Python, Bash

DevOps Tools: Jenkins, GitLab, Terraform, Azure DevOps

GenAI Framework: TensorFlow, LangChain, PyTorch

Containerization and orchestration: Docker, Kubernetes

Architecture: Microservices, Serverless, Cloud- Native

Cloud platforms: AWS, Azure, GCP, OCI

Data Engineering: SQL, NoSQL, Big Data

Agile methodologies: Scrum, Kanban, Azure DevOps, JIRA

Monitoring and Logging: Prometheus, Grafana, Thanos, ELK, Azure Log Analytics

Education

2010-2014

Rajasthan Technical University

Swami Keshwanand Institute of Technology

B.Tech in Computer Science

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