Maneet Goyal

Rising Codementor

US$10.00

For every 15 mins

ABOUT ME

Senior Fullstack Developer and Cloud Architect

About Me 👋

Maneet Goyal | Full-stack Engineer (7+ years)
Expert in React, TypeScript, Node.js, AWS/GCP.
I build fast, reliable, user-friendly products.

What I’ve Delivered

Real-time analytics dashboards and ML-powered insights that sped up decision-making
Embeddable fintech widgets that lifted conversions and reduced infra costs
End-to-end features with designers, PMs, and data teams; mentoring and technical leadership

How I Work

Solid architecture: clean boundaries, typed contracts, smart caching
Performance focus: Core Web Vitals, code-splitting, server rendering
Pragmatic security & accessibility that meets enterprise standards

Dev Experience I Care About

Testing strategies that catch regressions early
CI/CD that makes releases boringly reliable
Documentation that keeps team velocity high

Specialization in Data Parsing:

AST & codebase parsing: Built an Electron-based AST parser that scans large frontend repos to measure design-system adoption, detect deprecated/custom components, and report usage trends. Supports React/Angular/Svelte/Vue and parses JS, JSX, TS, TSX, CSS, JSON, and HTML; powered by ts-morph with CLI via Commander.
Design tokens & UI component extraction: End-to-end routines to identify component imports, prop usage, and token references across multi-package workspaces; outputs actionable summaries for designers and engineers.
Specification & schema work: Designed custom JSON specifications and data models to persist, validate, and share visualization states and lab data - grounding parsers in strict schemas for reliability.
Chart/data preprocessing pipelines: Authored d3-based preprocessing for raw datasets (histograms, heat maps, graph layouts) and mapped bespoke schemas to third-party chart specs, ensuring fast, predictable parse → transform → render loops.
HTML scraping & normalization: Implemented Playwright + Cheerio flows to parse ecommerce pages, normalize heterogeneous DOM structures, and transform results for interactive dashboards and exports.
Operationalized parsing in products: Applied these parsers across real apps - compliance graph explorers, ML evaluation dashboards, trading visualizations - tying parsed inputs to dependable UIs and APIs.
PDF: structured extraction of text and tables across pages (including rotated text, merged cells, headers/footers), with optional OCR for scanned documents and careful preservation of layout cues.
CSV/XLSX: automatic delimiter/encoding detection, schema and type inference, date/number normalization, multi-sheet and named-range handling, formulas → values, and large-file chunking.

Value You Get

Ownership, clear communication, and software that moves the metrics that matter - delivered with polish and maintainability.

Hindi, English

New Delhi (+05:30)

Joined July 2023

EXPERTISE

3 years experience

6 years experience

6 years experience

6 years experience

5 years experience

3 years experience

3 years experience

REVIEWS FROM CLIENTS

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SOCIAL PRESENCE

GitHub

chemical-kinetics-predictor

A data-driven tool to predict the reaction order of homogeneous gas-phase reactions. Includes machine learning experiments on the NIST Chemical Kinetics Database.

HTML

WaterPinch

Heuristics based Water Pinch Analysis Toolbox for carrying out Water Minimization in Process Industry

Matlab

Stack Overflow

81 Reputation

EMPLOYMENTS

Principal Developer

Manufac Analytics Private Limited

2020-09-01-Present

Led the design and implementation of Manufac Magnet, a market intelligence SaaS product, utilizing a hybrid cloud environment comprisi...

Led the design and implementation of Manufac Magnet, a market intelligence SaaS product, utilizing a hybrid cloud environment comprising of GCP and AWS.

Developed and optimized ETL pipelines for efficient data extraction, transformation, and loading, ensuring seamless integration and scalability across various data sources. (Python and NodeJS) – Created an intuitive and interactive dashboard UIs using D3.js, React, and ECharts, offering real-time data visualization through dynamic charts and graphs.
Managed efficient codebase through version control systems like Git, fostering collaborative and constructive code reviews of TypeScript and Python subroutines to ensure code quality and maintainability.

Built a GraphQL API for a London based retail chain utilizing Terraform and AWS.

Developed a structured GraphQL schema defining types, queries, and mutations to facilitate data interactions, such as retrieving products and managing inventory.
Used Terraform to provision AWS AppSync and DynamoDB for scalable API infrastructure.
Implemented AWS Lambda resolvers to handle GraphQL queries and mutations efficiently.

Built data visualization components for a New York based cybersecurity firm using technologies like D3.js and Three.js alongside ReactJS and TypeScript.

Managed the design and development of intuitive user interfaces, ensuring high-quality visualization of complex data across various devices and browsers.
Leveraged unit and E2E testing with tools like Jest and Playwright, assuring optimal performance and reliability of the visual applications developed.
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.

HTML/CSS

Python

SQL

HTML/CSS

Python

SQL

Node.js

TypeScript

Docker

React

Tableau

JavaScript

Redux

D3 Developer, Contract Job

Cylerian

2022-03-01-2022-07-01

Developed mobile responsive d3.js based visualizations for cybersecurity and cloud computing applications.
Implemented a ...

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.

D3.js

React

JavaScript

D3.js

React

JavaScript

Software Development Engineer, ArcGIS Charts Team

ESRI

2018-06-01-2020-09-01

Designed a custom data model/JSON specification to persist, share and validate charts/visualizations across the web.
Deve...

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).

HTML/CSS

D3.js

TypeScript

HTML/CSS

D3.js

TypeScript

JavaScript

Redux

Vue.js

PROJECTS

Cedience: Interactive Dashboard for Navigating Drug Approvals

2024

Cedience aimed to create an interactive, mobile-responsive dashboard for reviewing and understanding drug approval timelines using React,...

Cedience aimed to create an interactive, mobile-responsive dashboard for reviewing and understanding drug approval timelines using React, D3, and ECharts. I developed business-specific custom data visualizations, enabling users to analyze timelines efficiently. My solution included dynamic charts and graphs, enhancing data interpretation and decision-making processes. The impact was substantial, providing stakeholders with a powerful tool to visualize and comprehend complex approval data, thereby facilitating better strategic planning and quicker insights into drug approval processes.

D3.js

TypeScript

Web Development

D3.js

TypeScript

Web Development

React

Data Visualization

Footprint: Financial Data Dashboard Development

2024

Footprint is a fintech project where I designed and implemented an end-to-end dashboard using D3.js, React, and ECharts. The dashboard fe...

Footprint is a fintech project where I designed and implemented an end-to-end dashboard using D3.js, React, and ECharts. The dashboard features footprint charts, displaying volume delta, bid-ask, and volume views, providing crucial market insights. Utilizing WebSockets, the dashboard ensures real-time data updates, offering traders an edge in dynamic market conditions. This project exemplifies my expertise in creating sophisticated data visualizations tailored for the financial sector, and seamlessly integrating backend and frontend technologies to deliver a powerful user experience.

D3.js

WebSocket

TypeScript

D3.js

WebSocket

TypeScript

React