Utkarsh Babbar

DevOps Engineer

India4 yrs 11 mos experience

Key Highlights

  • Expert in Infrastructure as Code with Terraform and Ansible.
  • Proficient in Machine Learning algorithms for image captioning.
  • Strong background in cloud deployment and automation.
Stackforce AI infers this person is a Cloud Computing and Machine Learning expert with a focus on Infrastructure as Code.

Contact

Skills

Core Skills

Infrastructure As CodeCloud EngineeringAutomationMonitoringMachine LearningData Quality

Other Skills

AWS GlueAgile EnvironmentAnalyticsAnsibleApplication SecurityAtomAttention to DetailAzure DatabricksAzure DevOpsAzure Kubernetes Service (AKS)Azure Virtual MachinesC (Programming Language)C++Cluster ManagementConfiguration Management

About

I am a passionate and results-driven Software Engineer with a proven track record of leveraging cutting-edge technologies to optimize infrastructure, automate processes, and enhance system performance. With hands-on experience in Terraform, Ansible, Kubernetes, and Azure, I specialize in creating scalable and reliable Infrastructure as Code (IaC) solutions. My expertise extends to leading teams, optimizing monitoring systems with Prometheus and Grafana, and automating workflows with Jenkins and Python. In the realm of Machine Learning, I have a strong background in exploring and implementing Recurrent Neural Network (RNN) algorithms, including LSTM and GRU, for advanced image captioning projects. Additionally, I have extensive experience in building web applications using Django and am particularly proficient in developing robust backends with Golang, ensuring seamless integration and high performance. 🔹 Key Highlights: - Proficient in Terraform, Ansible, Kubernetes, Azure, and Jenkins. - Skilled in Python automation, reducing manual interventions and achieving high deployment accuracy. - Adept at implementing monitoring and alerting solutions with Prometheus and Grafana. - Expertise in Machine learning and deep learning algorithms and data cleansing using TensorFlow and scikit-learn. - Extensive experience in developing web applications with Django. - Successful in engineering diverse RNN models, achieving notable performance metrics. - Highly proficient in Golang, creating robust and efficient backend systems. I thrive on solving complex problems and continuously improving systems to drive business success. Let’s connect and explore how we can collaborate to achieve remarkable results! Shoot your emails at: babbarutkarsh66@gmail.com

Experience

4 yrs 11 mos
Total Experience
1 yr 8 mos
Average Tenure
1 yr 6 mos
Current Experience

Salesforce

Member of Technical Staff

Dec 2024Present · 1 yr 6 mos

Mercari, inc.

Platform Engineer

Nov 2024Nov 2024 · 0 mo · Bengaluru, Karnataka, India

Amadeus labs

2 roles

Software Engineer 1 (Cloud Engineering)

Jul 2022Nov 2024 · 2 yrs 4 mos

  • 🚀 Accelerated cloud deployment time using Terraform and Terragrunt IaC solutions.
  • 📜 Developed Ansible playbooks with Molecule tests for efficient infrastructure orchestration.
  • 🔄 Migrated over 10 applications to Kubernetes, optimizing host system usage and boosting team productivity with Helm charts.
  • 🐍 Created Python automation scripts, streamlining operational processes.
  • ✅ Ensured infrastructure code reliability by implementing Terraform unit tests in Golang with Terratest.
TerraformTerragruntAnsibleKubernetesPythonInfrastructure as Code+1

SDE Intern

Jan 2022Jul 2022 · 6 mos

  • 🛠️ Crafted scalable Terraform deployments using Terragrunt and Ansible.
  • ⚙️ Managed Jenkins workflows with Groovy and automated 20+ routine tasks with Python, reducing manual intervention and achieving high deployment accuracy.
  • 📊 Implemented monitoring and alerting solutions with Prometheus and Grafana, improving system visibility and reducing incident response times.
TerraformAnsibleJenkinsPrometheusGrafanaPython+2

Samsung electronics

Machine Learning Intern

Jun 2021Nov 2021 · 5 mos · India

  • 🔍 Explored and analyzed RNN algorithms, including LSTM and GRU, for image captioning on the Flickr dataset.
  • 🧹 Executed data cleansing using TensorFlow and scikit-learn to ensure dataset quality.
  • 🤖 Engineered an ensemble of RNN models with Transformers, LSTM, GRU, and BiLSTM, achieving a CIDEr score of 0.88 for enhanced image captioning.
RNNLSTMGRUTensorFlowscikit-learnMachine Learning

Chegg inc.

Subject Matter Expert(CSE) At Chegg.inc

Oct 2020Nov 2021 · 1 yr 1 mo · India

Education

Thapar Institute of Engineering & Technology

B.Tech — Electronics And Computer Science Engineering

Jan 2018Jan 2022

Doon Presidency School, Dehradun

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