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  • nitingoyal.contact@gmail.com
  • Gainesville, FL
  • 20:55 (UTC -04:00)

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nitingoyal0996/README.md

Full Stack Software Engineer



🐊 I'm a grad student studying at University of Florida: M.S in Electrical and Computer Engineering. GPA: 3.44/4.0
🌱 I'm actively learning Backend & Cloud Engineering, Distributed Systems.
🌱 I believe that technology and intelligence and equipping myself with Machine Learning and AI fundamentals.
πŸ§™β€β™‚οΈ Ask me about Problem Solving & Optimization πŸ‘ Web πŸ‘ Cloud πŸ‘ AI/ML πŸ‘ Distributed Systems.
πŸ”§ I am resourceful, πŸ––πŸΌ helpful, and excel in root-cause analysis πŸ€ΉπŸΌβ€β™‚οΈ.


πŸ› οΈI'm Skilled πŸ› οΈ


OS:Ubuntu OS:WSL OS:Windows10 IDE:VSCode


Category Technologies
πŸ”§ Backend Node.JS, Typescript, Python, Express.JS, Java, SQL
🎨 Frontend Typescript, React, CSS, HTML, Tailwind CSS, Material UI, i18next, SCSS
πŸ›  Infra & Tooling MongoDB, PostgreSQL, Kafka, Spark, Redis, AWS, Docker, Git
πŸ€– ML/AI OpenAI API, Lang Chain Agents, Scikit Learn, OpenCV, Pytorch, Keras, Pandas, Matplotlib

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  1. network-file-system network-file-system Public

    Built a distributed network file system for multi client support based on Linux file system architecture from scratch. The project was developed in multiple parts as a part of academic course at th…

    Python

  2. distributed-data-processing-pipeline-on-biodiversity-data-aggregators distributed-data-processing-pipeline-on-biodiversity-data-aggregators Public

    an API service for a distributed data processing pipeline on CloudLab that analyzes data streamed from three biodiversity data aggregators: iDigBio (https://idigbio.org/), GBIF (https://gbif.org/),…

    Python

  3. t-man t-man Public

    Emulating gossip-based overlay protocol (t-man) in the overlay network of a distributed system to optimize the distance among the nodes.

    Python

  4. benchmarking-lightweight-virtualization benchmarking-lightweight-virtualization Public

    Performance comparison of lightweight virtualization - micro virtual machines and container with different runtimes. Includes - firecracker, docker, containerd, gvisor, runc

    Shell

  5. aws-auto-scale-pyspark-jupyter-server aws-auto-scale-pyspark-jupyter-server Public

    configurable python projects built on top of base AWS APIs (without sdk) to run spark jobs on EC2. Includes - AWS EC2, AMI, Target Group, Security Group and Rules, Load Balancer, Auto Scaling Group

    Python