Maneet Goyal
I’m Maneet Goyal, a full-stack software engineer with 6+ years building high-impact web products. As Principal Developer at Manufac Analytics, I lead a React + TypeScript PWA that manages manufacturing-lab data, designing compliant data models and real-time dashboards with Apache ECharts. My visualization work spans D3-powered heatmaps for Cylerian’s cloud-security suite and chart APIs shipped at Esri’s ArcGIS Charts team.
On the tech side, I wield React, Material UI, and D3/ECharts on the front end; Node, Python, PostgreSQL/Redis/MongoDB on the back end; and a rich AWS toolkit—Amplify, EC2, RDS, IoT, Cognito, DynamoDB & CloudFormation—deployed via GitHub Actions CI/CD. Rigorous testing with Jest and Playwright ensures reliability across every release.
I mentor through hands-on guidance: pair-programming, architecture white-boarding, and actionable code reviews that convert theory into production-ready wins. Whether you’re wrangling complex React state, architecting a serverless AWS backend, or polishing data-viz UX, I’m excited to help you level up. Reach me anytime, and feel free to explore my work at github.com/maneetgoyal.
REVIEWS FROM CLIENTS
• Leading the research and implementation of a mobile responsive PWA based on ReactJS and TypeScript to manage laboratory data in manu...
• Leading the research and implementation of a mobile responsive PWA based on ReactJS and TypeScript to manage laboratory data in manufacturing plants.
• Designed the data models/JSON specifications for storing laboratory data to ensure the compliance of the experimental data with the respective IS standards.
• Responsible for dashboard development using MaterialUI and Apache ECharts involving charts like Liquid Fill Gauge,Graph Charts, Bar Charts, Line Charts, etc. with support for real time data updates.
• Developed the back end REST API to persist and share laboratory data and charts across the web in the JSON format.
Supabase
I’ve used Supabase as a Postgres-backed instant API for several React + Next.js side projects and early-stage client POCs. Typical stack: Supabase Auth (email/OAuth magic-link flows), row-level-security policies, real-time listeners via supabase-js, and Edge Functions (Deno) for lightweight server-side logic such as image processing and Slack alerts. I’ve also configured Storage for direct-from-browser uploads with signed URLs and role-based access.
AWS Lambda
I lean on Lambda in most production builds:
- MLViz – analytics dashboard that off-loads compute-heavy model evaluation to TypeScript Lambdas behind API Gateway.
- Uniquely – serverless invoicing system using Terraform-provisioned Lambdas + DynamoDB streams for PDF generation, payment webhooks, and SNS email notifications.
- Common patterns: cold-start minimization with Esbuild layers, structured logging via Powertools, CI/CD via GitHub Actions and SAM/Serverless Framework, plus tracing with X-Ray.
• Developed mobile responsive d3.js based visualizations for cybersecurity and cloud computing applications.
• Implemented a ful...
• Developed mobile responsive d3.js based visualizations for cybersecurity and cloud computing applications.
• Implemented a fully customized d3.js based heat map involving hexagon grid and calendar grid to visualize the memory and CPU consumption of machines over time.
• Implemented time scale and numeric scale based histograms using d3.js to visualize the distribution of computing resources.
• Implemented a highly interactive d3.js and ReactJS based calendar heatmap library to visualize the frequency of a generic event over a span multiple years.
• Designed a custom data model/JSON specification to persist, share and validate charts/visualizations across the web.
• Develop...
• Designed a custom data model/JSON specification to persist, share and validate charts/visualizations across the web.
• Developed a data visualization API for charts like histogram, bar charts, scatter plots, pie chart, etc. using amCharts and TypeScript to map our custom specifications to amCharts specifications while optimizing the rendering process.
• Implemented d3.js based subroutines to preprocess raw data for visualization and integrated the same with amCharts workflows.
• Implemented localization and internationalization of charts to respect the locale conventions while displaying date/time, number and text (including RTL support).