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Adarsh VasuAV
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Adarsh Vasu

@adarshvasu

I build cloud-native microservices, AI workflow automation, and enterprise APIs with Node.js and TypeScript.

India
Message

What I'm looking for

I'm looking to build scalable cloud-native products, event-driven systems, AI-powered automation, and enterprise integrations while solving complex engineering problems in collaborative Agile teams.

At Mindpath Tech, I build cloud-native backend systems and microservices on AWS and Azure for high-volume enterprise workloads.

I've delivered SAP-integrated workflow automation with RBAC, AI-driven intelligence, and Microsoft Teams integration, alongside a full-stack analytics platform with real-time rendering, drill-down insights, and dynamic filtering. My API optimization work improved response times by up to 20% through indexing, query optimization, aggregation pipelines, and ORM best practices.

I'm hands-on with Node.js, TypeScript, NestJS, Express.js, Next.js, event-driven architecture, and CI/CD pipelines using GitHub Actions and Jenkins. I also build secure distributed systems using JWT, OAuth 2.0, CORS/CSP policies, Docker, Grafana, and Winston.

In my projects, I've built conversational AI systems with enterprise integrations and an autonomous AI development agent that plans, writes, tests, self-corrects code, and automates GitHub pull-request workflows with human approval controls.

Experience

Work history, roles, and key accomplishments

MT
Current

Software Engineer

Mindpath Tech

Jan 2023 - Present (3 years 7 months)

Architected and deployed microservices-based, cloud-native backend systems using Node.js (NestJS/Express.js) on AWS and Azure, handling high-volume enterprise workloads through event-driven messaging via SQS, Azure Service Bus, and AWS Lambda. Designed a scalable SAP-integrated workflow automation platform with RBAC, AI-driven intelligence, and Microsoft Teams integration.

Education

Degrees, certifications, and relevant coursework

SI

Swami Vivekanand College of Indore

Bachelor of Technology, Computer Science and Engineering

Grade: 8.11/10.0

Bachelor of Technology in Computer Science and Engineering with a GPA of 8.11/10.0.

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