cvdata.json

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  "shorter_bio": "Senior Software Engineer with 9+ years of experience in scalable web apps and team leadership. Master's in Computer Science and Operations Research, skilled in JavaScript, ReactJS, and system architecture. Drives innovation and efficiency in startups, passionate about mentoring.",
  "short_bio": "Senior Software Engineer with 9+ years of experience building scalable web applications and leading teams. Holds Master's degrees in Computer Science and Operations Research, with expertise in JavaScript, ReactJS, and system architecture. Proven leader in driving innovative solutions and efficiency in startups, with a passion for mentoring and fostering innovation.",
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    "email": "sathyam.peram@gmail.com",
    "phone": "+46 737 641 917",
    "phone_public": false,
    "phone_hint": "Waiting for Telenor to reactivate — omit from public CV/contact until then",
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    "citizenship": "Swedish"
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        "Automated the conversion of JavaScript modules to TypeScript with a custom script preserving the version control history, saving over 200 hours of manual work and accelerating development timelines",
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      "conference": "2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom)",
      "date": "2015-11-30 - 2015-12-03",
      "ISBN": "978-1-4673-9560-1",
      "publisher": "IEEE",
      "location": "Vancouver, BC, Canada",
      "conference_url": "https://ieeexplore.ieee.org/servlet/opac?punumber=7395249",
      "abstact": "This paper proposes a novel power management solution for resource-constrained devices in the context of Internet of Things (IoT). We focus on smartphones in the IoT, as they are getting increasingly popular and equipped with strong sensing capabilities. Smartphones have complex and asynchronous power consumption incurred by heterogeneous components including their on-board sensors. Their interaction with the cloud allows them to offload computation tasks and access remote data storage. In this work, we aim at monitoring the power consumption behaviours of the smartphones, profiling both individual applications and the system as a whole, to make better decisions in power management. We design a cloud orchestration architecture as an epic predictor of behaviours of smart devices by extracting their application characteristics and resource utilization. We design and implement this architecture to perform energy profiling and data analysis on massive data logs. This cloud orchestration architecture coordinates a number of cloud-based services and supports dynamic workflows between service components, which can reduce energy consumption in the energy profiling process itself. Experimental results showed that small portion of applications dominate the energy consumption of smartphones. Heuristic profiling can effectively reduce energy consumption in data logging and communications without scarifying the accuracy of power monitoring."
    }
  ],
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    {
      "degree": "Master of Science in Computer Science",
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    {
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      "Python",
      "Rust",
      "C"
    ],
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      "TanStack",
      "Vite",
      "Zod",
      "Accessibility (WCAG)"
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      "Testing Library"
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      "Eve",
      "Flask"
    ],
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      "Postgres",
      "MongoDB"
    ],
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      "description": "Extension to ask Grok for more information with whole and selected text context",
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      "url": "https://github.com/p10ns11y/grok-dia-extension/",
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      "key": "selfie-signin",
      "description": "Proof-of-concept: Users register by submitting multi-angle facial images to train an AWS Rekognition model, enabling seamless face-based logins",
      "type": "hobby_oss",
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        "React",
        "TypeScript",
        "Face Recognition",
        "Authentication",
        "ML",
        "State Machines",
        "XStateJS",
        "UX flow"
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      "description": "A LaTeX-based CV and cover letter generator designed for efficient document creation and automation. It supports manual PDF compilation from .tex files, bulk generation via a Rust script, and integrated workflows for VSCode and GitHub Actions. The project automates PDF builds, uploads them to AWS S3 with public access for sharing, and creates pull requests for review—ideal for maintaining versioned resumes in a professional portfolio. Includes a visually appealing CV layout with a profile photo, contact details, and structured sections for work experience, skills, and education",
      "type": "personal",
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      "technologies": [
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        "Document Generation",
        "Rust",
        "AWS OpenID",
        "GitHub Actions",
        "Automated PR",
        "Automated S3 upload"
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        "react-intl"
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}