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Prashansha J. - Google Cloud, React Native, nextjs

My name is Prashansha J. and I have over 3 years years of experience in the tech industry. I specialize in the following technologies: AWS Amplify, Google Cloud, Generative AI, React, Electron, etc.. I hold a degree in Other, Master of Arts (MA), Bachelor of Arts (BA). Some of the notable projects I’ve worked on include: Scanner: AI/LLM powered Network Analysis Web App based on AWS CDK, Care: Privacy-first home monitoring system for Elders, Footprint: FinTech Web App with Candlestick + Footprint Chart Support, Boutique: Data Visualization using Apache ECharts + React + TypeScript, Produce: An agricultural data web app based on USDA data, etc.. I am based in Gurgaon, India. I've successfully completed 24 projects while developing at Softaims.

I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.

I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.

My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.

Main technologies

  • Google Cloud

    3 years

  • AWS Amplify

    1 Year

  • Google Cloud

    1 Year

  • Generative AI

    2 Years

Additional skills

Direct hire

Potentially possible

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Experience Highlights

Scanner: AI/LLM powered Network Analysis Web App based on AWS CDK

Scanner is a network‑security assessment platform that fuses Nmap’s deep port scans with AWS‑backed distributed processing to surface vulnerabilities fast. Real‑time dashboards show scan progress, interactive topology maps, and risk‑ranked findings. AWS Amplify Gen 2 orchestrates auth, queues, and data flows, while Bedrock‑powered LLMs translate raw results into plain‑language remediation advice for multiple users.

Care: Privacy-first home monitoring system for Elders

Care is a camera‑free, privacy‑first home‑monitoring platform that converts Home Assistant motion data into rule‑based alerts and anomaly visuals, keeping caregivers informed without video. It sends email digests and bedside voice summaries via Google Cloud Text‑to‑Speech. A React/TypeScript UI pairs with a Python-HomeAssistant integration on GCP that uses Wi‑Fi‑sensing models to surface early warnings, while role‑based access preserves privacy.

Footprint: FinTech Web App with Candlestick + Footprint Chart Support

Footprint is a web-based visualization tool built using Apache ECharts and D3.js, designed to display detailed trading activity. It features a Candlestick Chart for visualizing OHLC data and clearly indicating when prices are going up or down, a Footprint Chart that shows volume traded at each price level to highlight significant market activity, and a Volume Bar Chart that tracks trading volume across different price levels. The tool updates in real-time via Server-Sent Events (SSE), ensuring accurate and live market data.

Boutique: Data Visualization using Apache ECharts + React + TypeScript

Boutique is a data visualization library built with React and TypeScript that enables users to explore complex datasets. It features support for a wide variety of visualization types—from temporal heatmaps and network graphs to choropleths and hierarchical trees—making it ideal for use cases in cybersecurity, healthcare, manufacturing, and beyond. Boutique is designed with flexibility in mind, allowing each component to function standalone or as part of a larger analytical dashboard.

Produce: An agricultural data web app based on USDA data | AWS | React

Produce involved building a USDA Farm Service Agency Data Dashboard using D3, ECharts, ReactJS, and TypeScript. The project integrated AWS DynamoDB, Cognito, Lambda, and S3 for robust data management and processing. This solution provided a dynamic, interactive dashboard for visualizing agricultural data, enhancing data accessibility and usability. The impact was significant, offering stakeholders a powerful tool to analyze and interpret farm data, leading to better-informed decisions and improved agricultural management.

Education

  • YMCA, New Delhi

    Other in PR, Advertising, and Marketing

    2018-01-01-2019-01-01

  • Amity University

    Master of Arts (MA) in English Literature

    2016-01-01-2018-01-01

  • Panjab University

    Bachelor of Arts (BA) in English, Psychology, and Public Administration

    2013-01-01-2016-01-01

Languages

  • German
  • English
  • Hindi