Ram Gulhane

DevOps Engineer

Pune, Maharashtra, India2 yrs 4 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Implemented CI/CD pipelines improving deployment speed.
  • Optimized cloud costs by 40% through resource tuning.
  • Enhanced AI workflows using ML services for data processing.
Stackforce AI infers this person is a DevOps Engineer specializing in cloud infrastructure and CI/CD automation within the SaaS industry.

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Skills

Core Skills

DevopsCi/cd

Other Skills

Amazon Web Services (AWS)Infrastructure as Code (IaC)Database Performance OptimizationMachine LearningCloud Cost OptimizationContinuous Integration and Continuous Delivery (CI/CD)DockerKubernetesTerraformPython (Programming Language)LinuxCloud ComputingJenkinsGitCloud Certification

About

DevOps-focused Software Engineer with ~2 years of experience building and managing scalable cloud infrastructure on AWS, with a strong focus on continuous learning and evolving with modern DevOps practices. Experienced in designing and maintaining cloud-native systems across web applications and backend services, with a focus on CI/CD automation, Infrastructure as Code, and reliable deployment workflows. Hands-on experience in automating application delivery across backend and web platforms, with added exposure to mobile application pipelines (Android and iOS), including CI/CD workflows, release management, and integration of automated testing to improve efficiency and reliability. Exposure to data processing concepts through implementation of basic ETL pipelines for data ingestion, transformation, and synchronization, along with contributions to AI-based applications for input enrichment and improved output consistency. Key contributions: • Implemented backend automation pipelines using CI/CD and IaC, improving deployment speed and consistency across environments • Optimized cloud costs (~40%) through resource tuning, architectural improvements, and data lifecycle strategies • Improved database performance using autoscaling and connection pooling techniques, maintaining stable utilization under varying loads • Simplified and secured network architecture using centralized routing and access control mechanisms • Enhanced AI-based application workflows using ML services like Textract and Comprehend for improved data processing and consistency • Built and streamlined mobile CI/CD pipelines with automated testing using Device Farm, reducing release cycle time Tech Stack: AWS, CI/CD, IaC, Terraform, Docker, Kubernetes, Python, Linux Open to opportunities in DevOps and cloud-focused roles where I can continue building scalable systems, improve reliability, and deepen my expertise in DevOps and modern infrastructure practices.

Experience

2 yrs 4 mos
Total Experience
2 yrs 4 mos
Average Tenure
2 yrs 4 mos
Current Experience

Incedo inc.

Software Development Engineer

Jan 2024Present · 2 yrs 4 mos · Pune District · On-site

  • Working across cloud infrastructure, CI/CD automation, and scalable system design for multiple production-grade applications.
  • Core Cloud & Platform Engineering
  • Built and managed scalable cloud infrastructure supporting application and database layers
  • Developed CI/CD pipelines and automation workflows using IaC for consistent and reliable deployments
  • Optimized cloud architecture and resource utilization, achieving significant cost efficiency improvements (~40%)
  • Improved system performance through database autoscaling and efficient connection pooling
  • Strengthened system reliability, security, and operational efficiency across environments
  • AI-Based Platform (DevOps + Backend)
  • Built and managed cloud infrastructure and CI/CD pipelines for AI-based services
  • Improved processing efficiency and output consistency using ML services
  • Developed backend components (FastAPI) for scalable data workflows
  • Mobile Application CI/CD (Android & iOS)
  • Designed and implemented CI/CD pipelines across alpha, beta, and production environments
  • Automated build and release workflows using Linux & Mac-based infrastructure
  • Integrated real-device testing using Device Farm, improving release reliability
Amazon Web Services (AWS)DevOpsCI/CDInfrastructure as Code (IaC)Database Performance OptimizationMachine Learning

Education

Visvesvaraya National Institute of Technology

Bachelor of Technology - BTech — Mechanical Engineering

Jan 2019Jan 2023

Dr. Ambedkar College, Nagpur

Higher Secondary Certificate (HSC) — Electronics

Jun 2017Apr 2019

IIT-HOME

Intermediate — PCM

Apr 2017Jun 2019

J. D. Chaware Vidyamandir, Karanja Lad

Secondary School Certificate (SSC)

Jun 2012May 2017

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