Results-driven DevOps and Infrastructure Engineer with 3+ years of experience improving system reliability, scalability, and performance in fast-paced environments. Specializes in automating workflows, optimizing infrastructure, and driving efficiency across cloud platforms. Implements strategies to reduce downtime, accelerate deployment cycles, and cut operational costs. Bridges the gap between development and operations with a strong focus on continuous improvement, security, and proactive monitoring. A collaborative problem solver with exceptional analytical skills who thrives in adaptable, innovative environments committed to delivering high-quality solutions.
AWS GCP Azure IBM Cloud Docker Kubernetes Terraform CloudFormation Ansible Jenkins GitHub Actions ArgoCD Harness Git GitHub GitLab Prometheus Grafana ELK Stack Splunk Python Bash Go Linux Unix PostgreSQL MySQL MongoDB Cassandra Redis Elasticsearch Kafka RabbitMQ Nginx Load Balancing Autoscaling IAM Active Directory Vault SSL/TLS Teleport CI/CD Pipelines Infrastructure as Code (IaC) Microservices Architecture Container Orchestration Security and Compliance SRE Principles Monitoring and Alerting Disaster Recovery Cost Optimization
Software Engineer Intern | MiniOrange Inc., Pune | Jun 2020 - Sep 2020
High Availability Setup with Kubernetes
Achieved a 90% reduction in application downtime by designing and implementing a highly available Kubernetes cluster using Kubernetes Federation and multi-region deployment strategies. Leveraged Kubernetes features such as replica sets and persistent volume replicas.
Technologies Used: Kubernetes, Docker, Helm, AWS/IBM/GCP (for multi-region setup)
Auth Token Generator and Rotator for Teleport
Developed a microservices-based application utilizing Docker and Kubernetes, achieving 90% uptime by breaking the application into manageable, separate services that could be independently deployed and scaled, ensuring constant availability and easy operation.
Technologies Used: Kubernetes, Docker, Python, Flask, SQLite DB
Stock Price Prediction and Crypto Value Tracker
Fetched stock data using Investing.com’s library and predicted future values using moving averages and machine learning techniques (LSTM), with additional visualization through charts and figures.
Github: https://www.github.com/akshatj355
LinkedIn: https://www.linkedin.com/in/akshatjain355/
Gmail: akshatj355@gmail.com