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Maneet G. - , React Native, nextjs

My name is Maneet G. and I have over 4 years years of experience in the tech industry. I specialize in the following technologies: TypeScript, JavaScript, React, node.js, Python, etc.. I hold a degree in Master of Science (MS), Bachelor of Engineering (BEng). 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, Stitch: React + TypeScript + OpenAI based Image Analysis Web App, Playbook: Strapi + React + OpenAI Web App for Cybersecurity audits, Uniquely: AWS + Terraform based GraphQL API & Payment Gateway, 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

  • 4 years

  • TypeScript

    1 Year

  • JavaScript

    3 Years

  • React

    1 Year

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.

Stitch: React + TypeScript + OpenAI based Image Analysis Web App

Stitch is a web application designed to transform raster images into clean, scalable vector graphics (SVG). Built for designers and creative professionals, it allows users to convert any uploaded image into high-quality SVG format. Users can also interactively edit vector shapes directly in the browser using SVG.js, with real-time tools like pan, zoom, drag, and resize. The app features a modern UI built with Mantine and React, and uses AWS for cloud image storage.

Playbook: Strapi + React + OpenAI Web App for Cybersecurity audits

Playbook is a cybersecurity-focused web application designed to assist security professionals and software architects in identifying, analyzing, and mitigating vulnerabilities in software systems. It integrates with Strapi CMS as a headless backend to manage curated security content and architectural data. Leveraging OpenAI’s powerful language models, Playbook provides AI-driven insights to detect potential loopholes in system architectures and recommends actionable mitigation strategies.

Uniquely: AWS + Terraform based GraphQL API & Payment Gateway

Uniquely is a Terraform + AWS-based serverless API designed to streamline data management, payment processing, and document generation for designers and their products. It integrates with AWS services like AWS DynamoDB, AWS Lambda, and AWS S3 to handle invoice generation, VAT record management, SKU matching, lifetime sales data aggregation, and payment processing. The application uses the Trolley SDK for payments and Cloudlayer for PDF generation, leveraging webhooks for asynchronous processing to create professional invoices and other documents.

Education

  • Georgia Institute of Technology

    Master of Science (MS) in Computational Sciences and Engineering

    2016-01-01-2018-01-01

  • University of Pune

    Bachelor of Engineering (BEng) in

    2012-01-01-2016-01-01

Languages

  • English
  • Hindi

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