Ashisha Tulsian

DevOps Engineer

India11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Hands-on experience in Site Reliability Engineering.
Designed Java APIs and automated monitoring workflows.
Participated in an AI-themed hackathon.

Stackforce AI infers this person is a SaaS-focused Product Engineer with expertise in Infrastructure and Application Development.

Contact

Skills

Core Skills

JavaGolangApplication DevelopmentInfrastructure As Code (iac)

Other Skills

Python (Programming Language)DockerKubernetesAWSTerraformAI/MLService Level IndicatorsSpring FrameworkC++Web DevelopmentiOS DevelopmentNew RelicSplunkDatabase Management System (DBMS)Object-Oriented Programming (OOP)

About

As a Product Intern at Adobe for 10 weeks, I gained hands-on experience in Site Reliability Engineering, Infrastructure Operations, and Application Development. My work encompassed Java API design, Infrastructure as Code (IaC), and the use of monitoring tools like New Relic, Prometheus, and Grafana to ensure system reliability. I also utilized Splunk Query Language (SPL), NRQL, and PromQL for data analysis and troubleshooting, contributing to real-time insights through Service Health Dashboards. Additionally, I participated in an AI-themed hackathon, delivering a project for the correlation of logs and metrics using RAG models. With a strong academic foundation in Electronics and Communication Engineering from MNNIT and a passion for technology-driven impact, I’m committed to delivering innovative, user-centric solutions.

Experience

11 mos

Total Experience

11 mos

Average Tenure

11 mos

Current Experience

Adobe

2 roles

Member of Technical Staff

Jun 2025 – Present · 11 mos · Bengaluru, Karnataka, India · On-site

JavaGolang

Product Intern

Jun 2024 – Aug 2024 · 2 mos · Bengaluru, Karnataka, India · On-site

In my role as a Product Intern at Adobe, I designed and implemented Java-based APIs, deployed using Docker and Kubernetes, and automated monitoring workflows using AI/ML solutions with Python. I also provisioned and managed AWS resources like VPCs, EC2 instances, and S3 buckets using Terraform and Terragrunt to ensure high availability and scalability. Additionally, I onboarded 15+ services to Service Health Dashboards (SHD), defining Service Level Indicators and Objectives to improve service reliability and reduce alert fatigue.

JavaPython (Programming Language)DockerKubernetesAWSTerraform+3