- Analyzed and audited access control datasets across 300+ facilities, improving data accuracy and system reliability.
- Designed structured data validation processes for enterprise access configurations.
- Collaborated with cross-functional teams to translate business requirements into system-level configurations and data rules.
- Performed data-driven troubleshooting and root cause analysis to resolve access-related issues efficiently.
- Streamlined data structures by consolidating redundant configurations and improving maintainability.
Dipesh Wosti
Software Engineer
Cloud Engineer
AI enthusiast
Reliability • Automation • AWS
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.
Experience
Where I've worked
- Monitored and maintained the reliability, uptime, and continuous functionality of apple.com for millions of global users.
- Built automation solutions to detect, resolve, and prevent issues while reducing manual intervention.
- Partnered with engineering teams to design, build, and maintain scalable systems and smoother deployments.
- Developed and maintained RESTful APIs with Python, FastAPI, and Django for 3,000+ concurrent users, improving response time by 35%.
- Implemented asynchronous processing with Celery and Redis, reducing task execution time by 40% during high-traffic events.
- Designed PostgreSQL and MongoDB data models and optimized slow queries to cut API latency by 25%.
- Built unit and integration tests with pytest, raising coverage from 60% to 90% and reducing regression defects by 30%.
Projects
Selected work shaped around reliability, delivery, and backend scale.
PerfMCP Server
Built an AI-powered MCP orchestration platform that lets users query databases, trigger tools, and run backend workflows in natural language through a secure LLM execution layer.
Java Microservices: Cloud Deployment in AWS
Built and deployed end to end as a practical full-stack cloud project, learning frontend delivery, backend microservices, Kubernetes deployment, AWS networking, authentication, and real-world infrastructure debugging.
Tooling and CI/CD workflow improvements
Reduced repetitive operational work and improved engineering flow using pipelines, deployment automation, monitoring, and release-focused tooling.
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.