Maneet Goyal

Maneet Goyal

$45/hr
Turning product ideas into responsive UIs, scalable APIs, and cross-platform apps 🚀
Reply rate:
50.0%
Availability:
Hourly ($/hour)
Location:
Gurugram, Haryana, India
Experience:
7 years
Maneet Goyal Full Stack Developer | React, TypeScript, Node.js, FastAPI Professional Summary Maneet is a Full Stack Web Developer with over 7+ years of experience in developing pixel-perfect, mobile-responsive, and offline-friendly (PWA) dashboards and UIs. He is well-versed in JavaScript, TypeScript, HTML, and CSS, and has worked extensively with Next.js, React, TailwindCSS and UI frameworks/libraries like MaterialUI, Formik, SASS, and Bootstrap, among others. He also develops mobile apps using React Native. On the backend, he builds production APIs using Node.js with Express and Python (FastAPI), working with MySQL (schema design + migrations) as well as PostgreSQL, Redis, and MongoDB, and deploying on AWS/GCP. He implements authentication and authorization (JWT/OAuth/OIDC, RBAC, AWS Cognito) and maintains API-first workflows with OpenAPI/Swagger documentation. As regards his QA approach, he strives to deliver a highly reliable and cross-browser compatible codebase with unit tests via Jest, E2E tests via Playwright/Puppeteer, visual regression tests via Storybook/Loki, fully linted and formatted code via ESLint and Prettier, and Jenkins/GitHub Actions CI/CD pipelines for automated testing and deployment. © 2025 | Manufac Analytics Private Limited Frontend Skills Languages/Tools TypeScript, JavaScript, HTML, CSS. Frameworks/UI React Native, ReactJS, MaterialUI, Formik, Bootstrap, SASS, NextJS , TailwindCSS, Next.js (App Router) Data Visualization d3.js, amCharts, Apache ECharts Backend Skills Languages/Tools TypeScript, JavaScript (NodeJS), Python, C JSLibraries ExpressJS, EJS, Multer, NodeMailer Databases PostgreSQL, Redis, MongoDB, MySQL, Schema design + migrations API Development REST, GraphQL(Apollo, AWSAppSync) Authentication JWT sessions, RBAC, OAuth2/OIDC, AWS Cognito ​ © 2025 | Manufac Analytics Private Limited Tooling and DevOps Data Model Design JSON Schema, Zod Cloud Stack (GCP) Cloud Run, Cloud Functions, Cloud SQL (Postgres), BigQuery, Pub/Sub, Cloud Storage, Cloud Scheduler, IAM, VPC, Cloud Build, Secret Manager Cloud Stack (AWS) Amplify, EC2, Lambda, API Gateway, RDS (Postgres), DynamoDB, S3, CloudFront, CloudWatch, CloudFormation/Terraform, Cognito, IAM, SQS/SNS IaC Testing AWSCloudFormation, Terraform Jest(unit), Supertest (integration), Playwright (API/E2E), Contract tests (OpenAPI) Tooling & DevOps Docker Compose, AWS deployment (EC2/ECS/Lambda + API Gateway), Swagger UI (API docs), ESLint, Prettier, TypeDoc, GitHub Actions (CI/CD), PM2, Docker, Shell Scripting © 2025 | Manufac Analytics Private Limited Industrial Experience Lead Full Stack Developer— Manufac Analytics | Gurugram, India | Sep 2020 – Present ●​ Led frontend across multiple React + Next.js products and shared internal libraries, owning UI architecture end-to-end and shipping responsive PWAs with dark mode, offline caching, and role-based user experiences.​ ●​ Implemented authentication and authorization (Cognito/OIDC, JWT, RBAC) and integrated secure middleware patterns across services​ ●​ Built data-heavy, real-time analytics dashboards using ECharts and D3 (histograms, graph charts, liquid gauges, footprint, candlestick variants), streaming updates through SSE/WebSockets with smooth rendering under load.​ ●​ Established a scalable design system by creating a component library with design tokens and Storybook, then wiring in visual regression testing plus automated accessibility (a11y) checks to keep releases safe as the UI grew.​ ●​ Drove engineering standards for quality and UX, improving Core Web Vitals (LCP/TTI), implementing internationalization (i18n + RTL), and enforcing accessibility best practices across apps and teams.​ ●​ Partnered closely with backend teams to define strongly-typed API contracts (Zod/OpenAPI), improve API ergonomics, and reduce integration friction across frontend and backend delivery.​ © 2025 | Manufac Analytics Private Limited Software Development Engineer — ArcGIS Charts Team (Esri) | Redlands, CA, USA | Jun 2018 – Sep 2020 ●​ Designed a JSON-driven chart configuration model and TypeScript API powering histograms, bars, scatter, and pies; added D3 preprocessing, i18n/RTL, and accessibility. ●​ Collaborated across platform teams to optimize rendering and ship reusable UI components with robust documentation and examples. Projects 1.​ FinStat Tech Stack: TypeScript, React, AWS, Python, Uvicorn, Pandas Description: Led end-to-end delivery of a financial analytics platform powering embeddable widgets and interactive maps/charts. Owned the React/TypeScript frontend and WordPress embed experience, then designed the backend services for ingesting and normalizing third-party financial datasets, adding cache-aware processing and clean, versioned APIs for reporting and analytics. Set up GitHub Actions CI/CD to ship reliably with minimal deployment friction. 2.​ Scanner Tech Stack: TypeScript, AWS Amplify Gen 2, AppSync (GraphQL), Python, FastAPI, DynamoDB, S3, SQS, Fargate, ECS, Nmap, Bedrock​ Description: Led the build of a distributed network-security scanning platform with real-time progress visibility and topology dashboards. Drove the full-stack architecture: a modern app experience on Amplify, GraphQL APIs via AppSync, and FastAPI services powering queue-based orchestration through SQS with workers running on Fargate/ECS. Implemented durable storage in DynamoDB/S3 and integrated LLM-assisted interpretation to summarize and explain findings for operators.​ © 2025 | Manufac Analytics Private Limited 3.​ Care Tech Stack: Home Assistant (API + Custom Integration), Google Cloud, Google Text-to-Speech, Python Description: Led development of a privacy-first, camera-free home-monitoring system focused on real-time alerts and strict data-handling constraints. Built the event-driven rules engine powering notifications and daily summaries, authored custom Home Assistant integrations, and connected cloud TTS for spoken alerts while keeping retention minimal and reliability high. Education M.S., Computational Science & Engineering — Georgia Institute of Technology​ B.E., Petrochemical Engineering — Maharashtra Institute of Technology, Pune (Gold Medalist) © 2025 | Manufac Analytics Private Limited
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