Dipesh Wosti | Software Engineer

About

Building Scalable Systems with AI & Cloud.

DevOps Engineer with a strong foundation in software engineering and full SDLC experience, passionate about automation, scalability, and system reliability. Experienced in managing Kubernetes clusters, building and optimizing CI/CD pipelines, and leveraging AWS services to design highly available and high-performance infrastructure.

Skilled in bridging development and operations, implementing Infrastructure as Code, and applying DevOps and SRE best practices to deliver resilient, efficient, and scalable systems.

400+ environments supported across dev, preview, and production

3,000+ concurrent users served through backend API work

99.9% uptime target achieved in cloud application deployments

Experience

Production operations, backend performance, and automation work.

Apple Inc. Junior DevOps Engineer

Supported infrastructure powering interactive applications across large-scale delivery environments, with emphasis on uptime, tooling health, cluster operations, and operational support.

Maintained AWS, CloudStack, Jenkins, Artifactory, SonarQube, and supporting systems.
Supported Kubernetes and EKS clusters used across multiple applications.
Handled incident response, root cause analysis, and repeatable automation improvements.

Tekvortex Pvt. Ltd. Associate Software Engineer

Built and maintained backend systems with Python and deployed cloud applications using AWS, Docker, and CI/CD pipelines.

Developed APIs with FastAPI and Django for high-concurrency workloads.
Improved performance with optimized queries, caching, and asynchronous processing.
Strengthened release quality through automated tests and GitHub Actions pipelines.

Projects

Selected work shaped around reliability, delivery, and backend scale.

Infrastructure Operations

Multi-environment platform support

Worked across hundreds of environments spanning development, preview, and production, helping teams keep deployments stable, coordinated, and maintainable.

AWS Kubernetes Cloud Operations Incident Response

Backend Performance

Faster API delivery under real load

Improved backend responsiveness through query tuning, caching, asynchronous workflows, and service-level performance thinking.

Python FastAPI Django PostgreSQL

Automation Delivery

Tooling and CI/CD workflow improvements

Reduced repetitive operational work and improved engineering flow using pipelines, deployment automation, monitoring, and release-focused tooling.

GitHub Actions Jenkins Terraform Docker

Skills

Tech stack

Languages

Python JavaScript TypeScript SQL Java

Frameworks

FastAPI React Node.js Spring Boot

AI / ML

PyTorch TensorFlow LangChain Gemini YOLOv8 ChromaDB

Cloud / Infra

AWS Google Cloud Docker Git Linux Firebase

Networking

TCP/IP DNS SSH Cisco SD-WAN

Contact

Get in touch

Open to engineering roles, collaborations, and AI-driven opportunities.

Email dipeshwosti25@gmail.com LinkedIn linkedin.com/in/dipeshwosti Phone +1 (760) 716-2149