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I’m a software engineer focused on building reliable cloud platforms, data pipelines, and developer workflows that scale.

From geospatial SaaS portals to AI copilots for hardware teams, I enjoy translating complex requirements into experiences that feel effortless.

I’m currently pursuing my MS in Software Engineering Systems at Northeastern University while crafting automation and infrastructure that help teams move faster.

</AboutMe>

Hi, I’m Smit Patel — a developer who thrives on building production-ready software that is dependable, observable, and enjoyable to use.


At Jayso Labs, I shipped a city-planning platform end to end: React and Firebase on the front, BigQuery-powered APIs in the middle, and a globally cached map tile service running on AWS. Before that, I helped Oizom Instruments deliver smarter sensor operations with a Next.js calibration suite and an AI assistant that now resolves hundreds of support questions on its own.


I love digging into infrastructure-as-code, distributed systems, and polished UX so that teams can make confident decisions with their data. Every project is a chance to automate a little more and learn a lot.

Smit Patel

</Skills>

Tech Stack

    </Projects>

    Cloud API Platform & Infrastructure Automation

    Built a fault-tolerant AWS backbone that serves 5K+ requests per second, pairing Terraform and Packer baseline images with GitHub Actions blue/green deploys so new features roll out with encryption, observability, and zero downtime.

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    Cloud automation architecture illustration
    Codial – Code Submission Platform

    Delivered a Next.js and Firebase experience where instructors launch typed assignments, students collaborate in a live CodeMirror editor, and a self-hosted Judge0 cluster on AWS scores submissions with sandboxed, rate-limited execution.

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    Codial platform preview
    Logflow Pipeline – Cloud Native Stream Processing

    Provisioned Kafka producers, Dataproc Spark jobs, and Cloud SQL with Terraform to move synthetic enterprise logs from ingest to insight, featuring checkpointed Spark workloads, automated retries, and on-call notifications when throughput deviates.

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    Logflow pipeline dashboard
    Google Workspace MCP Server

    Created a Claude-powered automation layer that speaks natural language, negotiates OAuth2 with Gmail, Drive, and Calendar, and executes workflows like triaging email or scheduling meetings without human babysitting.

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    Automation workflow illustration
    View More Projects

    Discover more of my cloud, data, and productivity experiments on GitHub — from infrastructure templates to AI copilots.

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