Harsh Gupta, Software Developer in Athlone, Ireland
Harsh Gupta

Software Developer in Athlone, Ireland

Member since November 1, 2021
Harsh is a software engineer with more than four years of experience specializing in front-end development. He has built decentralized blockchain applications using React and Solidity and completed nine machine learning certifications. Harsh started a technology consulting practice at age 22 and led a runner-up team at the international UN Sustainable Development Goals (SDG) competition. He is a highly motivated technologist who delivers the right solution for each situation.
Harsh is now available for hire

Portfolio

  • Ericsson
    Java 8, Apache Kafka, Groovy, Design, Testing, JUnit
  • Tusk Technologies
    Agile Sprints, Algorithms, SHA, Go, Solidity, React, TypeScript 3, Node.js...
  • Ericsson
    Java 8, JavaScript, Bash, Python 3, Pandas, Scikit-learn, PostgreSQL...

Experience

Location

Athlone, Ireland

Availability

Part-time

Preferred Environment

Windows, Visual Studio Code, Slack, Linux, Windows Subsystem for Linux (WSL), IntelliJ, Unity, Photoshop CC, Android

The most amazing...

...thing I've built is an app that allows users to deploy off-the-rack plugins that empowers their websites by enabling easier access to the web3 services.

Employment

  • Senior Software Engineer

    2022 - PRESENT
    Ericsson
    • Developed a simulator that can reduce the latency of end-to-end testing from weeks to minutes.
    • Improved production software performance monitoring to ease other developers' functional development.
    • Oversaw the testing of ten teams for five different products to deliver them on time to the customers.
    Technologies: Java 8, Apache Kafka, Groovy, Design, Testing, JUnit
  • Cheif Technology Officer

    2021 - PRESENT
    Tusk Technologies
    • Developed a commercial-grade application that can forward browser requests to a clusterized server and provide near real-time response.
    • Used ClickUp reporting tool and Github projects to track and fix bugs reported by product owners.
    • Launched the tool and managed multiple engineers and marketing experts for the maintenance and marketing of the project.
    Technologies: Agile Sprints, Algorithms, SHA, Go, Solidity, React, TypeScript 3, Node.js, cPanel, Heroku, AWS, Next.js, NestJS, GraphQL, Apollo Server, React Apollo, Jest, Firebase, Google Analytics, SEO Tools, Sitemaps, Illustrator CC, ClickUp, ClinicJS, React Native
  • Engineer

    2019 - PRESENT
    Ericsson
    • Developed an end-to-end automation system to test a performance management service, which reduced the time from around three weeks to a few minutes.
    • Improved the existing application from single-threaded to multithreaded to reduce the execution time and memory consumption on the RAM in every data-gathering cycle.
    • Designed an anomaly detection algorithm, using GANs, with an accuracy rate of around 75%.
    Technologies: Java 8, JavaScript, Bash, Python 3, Pandas, Scikit-learn, PostgreSQL, Apache Kafka, Java, Python, Algorithms, Anomaly Detection, Test Automation, Multithreading, Generative Adversarial Networks (GANs), Software Engineering, MySQL, MongoDB
  • Solidity Developer | Smart Contracts and Decentralized Platform Application for Crypto Portfolios

    2021 - 2022
    Jose Miguel Vera Jimenez
    • Developed the front end using React and Tailwind CSS.
    • Used Slack for communication and Trello for tracking and fixing bugs.
    • Oversaw the launch of the website, which resulted in global availability.
    Technologies: Solidity, Smart Contracts, Blockchain, React, Ethers.js, Web3.js, Jest, CSS, HTML5
  • Innovation Driver

    2020 - 2022
    Ericsson
    • Developed an autonomous anomaly detection and correction system using generative adversarial networks.
    • Managed and tutored team members on the importance of Explainable AI.
    • Oversaw the launch of the AI-based anomaly correction tool so that the customer could easily use it.
    Technologies: Agile Sprints, Jira, Confluence, Microsoft Teams, Machine Learning, Generative Adversarial Networks (GANs), Anomaly Detection, Explainable Artificial Intelligence (XAI), Microsoft PowerPoint, ARCore, MySQL, MongoDB, React Native

Experience

  • Create Economy
    https://createconomy.com/

    A decentralized application that allows users to automatically create their cryptocurrency and receive them within their wallets in real time. I built this using React and advanced packages like react-spring for animations and Ethers.js for interacting with Ethereum or Binance smart chain RPC servers. Users can test the app using a test network or deploy their currency on the main network.

  • Tusk Technologies
    https://www.tusk.market/

    Tusk is aimed to reduce the entry barrier for new startups and individuals into the web3 space by building simplistic web3 plugins. We are focusing on just one aspect, which is the assetization of everything.

  • Anomaly Detection and Correction in 5G Core Networks

    A DNN model can detect and correct anomalies (like DDoS attacks). It used a pre-trained latent space trained on expected network packets and could identify even the smallest modified packets and replace them with non-harmful packets or drop them.

Skills

  • Languages

    JavaScript, Python 3, Python, CSS, HTML5, Java 8, Bash, Solidity, Java, C#, Groovy, GraphQL, TypeScript, Go, TypeScript 3
  • Frameworks

    React Native, Jest, Unity, Cypress.io, JUnit, Next.js, NestJS
  • Libraries/APIs

    React, Pandas, Scikit-learn, PyTorch, Keras, TensorFlow, react-spring, Web3.js, Node.js
  • Storage

    MySQL, MongoDB, PostgreSQL
  • Platforms

    Visual Studio Code, Windows, Apache Kafka, ARCore, Linux, Android, Blockchain, Firebase, cPanel, Heroku
  • Other

    Software Engineering, Artificial Intelligence (AI), Data Analytics, Agile Sprints, Machine Learning, eCommerce, AWS, Deep Learning, Google Colaboratory (Colab), RNN, Multivariate Calculus, Linear Regression, Vector Calculus, Gradient Descent, Prototyping, User-centered Design (UCD), Social Issues, Controllable Generation, WGANs, Conditional Generation, Components of GANs, DCGANs, Bond Markets, Interest Rates, Financial Markets, Eigenvalues, Basis (Linear Algebra), Transformation Matrix, Linear Algebra, Mathematical Optimization, Hyperparameter Tuning, Facial Recognition, Convolutional Neural Networks, Object Detection and Segmentation, Artificial Neural Networks (ANN), Backpropagation, Neural Network Architecture, Inductive Transfer, Decision-making, Algorithms, Multithreading, Generative Adversarial Networks (GANs), Eigenvectors, Cryptocurrency, Ethers.js, Windows Subsystem for Linux (WSL), Smart Contracts, Design, Integration, ClickUp, Teams, Explainable Artificial Intelligence (XAI), Vectors, TPU, SHA, Apollo Server, SEO Tools, Sitemaps, ClinicJS
  • Tools

    Slack, IntelliJ, Photoshop CC, Confluence, Jira, Microsoft Teams, Microsoft PowerPoint, React Apollo, Google Analytics, Illustrator CC
  • Paradigms

    Design Thinking, Anomaly Detection, Test Automation, Testing, REST

Education

  • Master's Degree in Computer Science
    2017 - 2018
    University College Dublin - Dublin

Certifications

  • Simple Recurrent Neural Network with Keras
    NOVEMBER 2020 - PRESENT
    Coursera
  • Build Better Generative Adversarial Networks
    NOVEMBER 2020 - PRESENT
    Coursera
  • Build Basic Generative Adversarial Networks (GANs)
    OCTOBER 2020 - PRESENT
    DeepLearning.AI
  • Introduction to XR: VR, AR, and MR Foundations
    AUGUST 2020 - PRESENT
    Unity
  • Design Thinking for the Greater Good: Innovation in the Social Sector
    AUGUST 2020 - PRESENT
    University of Virginia
  • Introduction to Augmented Reality and ARCore
    JUNE 2020 - PRESENT
    Coursera
  • Mathematics for Machine Learning: Multivariate Calculus
    JANUARY 2020 - PRESENT
    Imperial College London
  • Mathematics for Machine Learning: Linear Algebra
    DECEMBER 2019 - PRESENT
    Imperial College London
  • Understanding Financial Markets
    DECEMBER 2019 - PRESENT
    University of Geneva
  • Convolutional Neural Networks
    SEPTEMBER 2019 - PRESENT
    DeepLearning.AI
  • Designing the Future of Work
    AUGUST 2019 - PRESENT
    The University of New South Wales (UNSW) Sydney
  • Structuring Machine Learning Projects
    MAY 2019 - PRESENT
    DeepLearning.AI
  • Neural Networks and Deep Learning
    MARCH 2019 - PRESENT
    DeepLearning.AI
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    MARCH 2019 - PRESENT
    DeepLearning.AI

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