Siddharth Singh
Future Tech Innovator

Live Deployed

Projects from the lab

AI systems, security tools, and data pipelines built while studying at Thane, Maharashtra — each one a step toward the frontier.

DEVForge Network — AI Collaboration Hub

DEVForge Network — AI Collaboration Hub

A full-stack collaboration platform featuring a sleek 'Clear UI' aesthetic. Integrates a Live Gemini Consultant, dynamic Developer Profiles with GitHub stats sync, an AI Code Review Engine, and real-time multiplayer code editing environments using Socket.io and Monaco.

ReactViteGoogle Gemini AISocket.ioNode.jsExpressMongoDBTailwind CSS
Solvex — Skill Constellation Platform

Solvex — Skill Constellation Platform

A MERN-stack developer learning tracker that visualises your skills as a dynamic D3 force-directed constellation. Log learning events, sync GitHub repos to auto-detect skills and earn XP, create community learning trails, and watch your star map grow. Features a Valorant-inspired dark UI with region-reactive themes, skill distribution chart, and GitHub PAT integration.

ReactViteD3.jsNode.jsExpressMongoDBFramer MotionZustand
Weather App — NASA Climate Dashboard

Weather App — NASA Climate Dashboard

Historical climate probability dashboard built on NASA POWER data (30-year normals). Enter any city and date to get likelihood of extreme heat, cold, wind, or rain. Features a live global precipitation radar powered by RainViewer, dark mode, and a fully responsive monochrome UI.

ReactViteNASA POWERRainViewerLeafletCSS
Skills & Services

What I bring to the table

Full-stack development, AI-powered dashboards, and data visualisation — skills sharpened through real projects and published research.

Full-Stack Web Development

End-to-end MERN applications — React + Vite frontends paired with Node.js/Express APIs and MongoDB databases, deployed and production-ready.

UI/UX Engineering

Pixel-perfect interfaces with Framer Motion animations, Zustand state management, and Valorant-inspired dark design systems.

Research & Technical Writing

Published researcher in AI-driven analytics (IJPREMS). Available for academic collaboration, technical documentation, and whitepaper authoring.

What I Build

Full-stack web apps, AI-powered dashboards, and data visualisations — built with the MERN stack and modern tooling.

Idea to Deployment

From wireframe to live URL — I take projects through design, development, API integration, and production deployment.

Component-Driven Architecture

Every project is built with reusable, composable React components — clean separation of concerns from day one.

Type-Safe Codebase

End-to-end TypeScript on both client and server — fewer runtime bugs, better DX, and confident refactoring.

Performance First

Lazy loading, code splitting, and optimised D3 render loops to keep apps fast even with heavy data payloads.

GitHub-Driven Workflow

Feature branches, meaningful commit messages, and PR-based reviews — repositories that are easy to pick up and extend.

Responsive & Accessible UI

Designs that work on every screen size and meet accessibility standards so no user is left behind.

Secure by Default

JWT auth, environment variable discipline, hashed credentials, and input validation baked into every API.

Data-Driven Decisions

Leveraging real datasets, NASA APIs, and GitHub activity to surface meaningful insights rather than demo data.

Iterative & Agile

Ship a working MVP fast, gather feedback, then iterate — keeping scope tight and momentum high.

AI-Augmented Development

Using LLM tooling and prompt engineering to accelerate boilerplate, docs, and data-preprocessing tasks.

Thorough Documentation

README files, inline comments, and architecture notes that make every project easy to hand off or revisit.

Component-Driven Architecture

Every project is built with reusable, composable React components — clean separation of concerns from day one.

Type-Safe Codebase

End-to-end TypeScript on both client and server — fewer runtime bugs, better DX, and confident refactoring.

Performance First

Lazy loading, code splitting, and optimised D3 render loops to keep apps fast even with heavy data payloads.

GitHub-Driven Workflow

Feature branches, meaningful commit messages, and PR-based reviews — repositories that are easy to pick up and extend.

Responsive & Accessible UI

Designs that work on every screen size and meet accessibility standards so no user is left behind.

Secure by Default

JWT auth, environment variable discipline, hashed credentials, and input validation baked into every API.

Data-Driven Decisions

Leveraging real datasets, NASA APIs, and GitHub activity to surface meaningful insights rather than demo data.

Iterative & Agile

Ship a working MVP fast, gather feedback, then iterate — keeping scope tight and momentum high.

AI-Augmented Development

Using LLM tooling and prompt engineering to accelerate boilerplate, docs, and data-preprocessing tasks.

Thorough Documentation

README files, inline comments, and architecture notes that make every project easy to hand off or revisit.

Component-Driven Architecture

Every project is built with reusable, composable React components — clean separation of concerns from day one.

Type-Safe Codebase

End-to-end TypeScript on both client and server — fewer runtime bugs, better DX, and confident refactoring.

Performance First

Lazy loading, code splitting, and optimised D3 render loops to keep apps fast even with heavy data payloads.

GitHub-Driven Workflow

Feature branches, meaningful commit messages, and PR-based reviews — repositories that are easy to pick up and extend.

Responsive & Accessible UI

Designs that work on every screen size and meet accessibility standards so no user is left behind.

Secure by Default

JWT auth, environment variable discipline, hashed credentials, and input validation baked into every API.

Data-Driven Decisions

Leveraging real datasets, NASA APIs, and GitHub activity to surface meaningful insights rather than demo data.

Iterative & Agile

Ship a working MVP fast, gather feedback, then iterate — keeping scope tight and momentum high.

AI-Augmented Development

Using LLM tooling and prompt engineering to accelerate boilerplate, docs, and data-preprocessing tasks.

Thorough Documentation

README files, inline comments, and architecture notes that make every project easy to hand off or revisit.

Component-Driven Architecture

Every project is built with reusable, composable React components — clean separation of concerns from day one.

Type-Safe Codebase

End-to-end TypeScript on both client and server — fewer runtime bugs, better DX, and confident refactoring.

Performance First

Lazy loading, code splitting, and optimised D3 render loops to keep apps fast even with heavy data payloads.

GitHub-Driven Workflow

Feature branches, meaningful commit messages, and PR-based reviews — repositories that are easy to pick up and extend.

Responsive & Accessible UI

Designs that work on every screen size and meet accessibility standards so no user is left behind.

Secure by Default

JWT auth, environment variable discipline, hashed credentials, and input validation baked into every API.

Data-Driven Decisions

Leveraging real datasets, NASA APIs, and GitHub activity to surface meaningful insights rather than demo data.

Iterative & Agile

Ship a working MVP fast, gather feedback, then iterate — keeping scope tight and momentum high.

AI-Augmented Development

Using LLM tooling and prompt engineering to accelerate boilerplate, docs, and data-preprocessing tasks.

Thorough Documentation

README files, inline comments, and architecture notes that make every project easy to hand off or revisit.

Component-Driven Architecture

Every project is built with reusable, composable React components — clean separation of concerns from day one.

Type-Safe Codebase

End-to-end TypeScript on both client and server — fewer runtime bugs, better DX, and confident refactoring.

Performance First

Lazy loading, code splitting, and optimised D3 render loops to keep apps fast even with heavy data payloads.

GitHub-Driven Workflow

Feature branches, meaningful commit messages, and PR-based reviews — repositories that are easy to pick up and extend.

Responsive & Accessible UI

Designs that work on every screen size and meet accessibility standards so no user is left behind.

Secure by Default

JWT auth, environment variable discipline, hashed credentials, and input validation baked into every API.

Data-Driven Decisions

Leveraging real datasets, NASA APIs, and GitHub activity to surface meaningful insights rather than demo data.

Iterative & Agile

Ship a working MVP fast, gather feedback, then iterate — keeping scope tight and momentum high.

AI-Augmented Development

Using LLM tooling and prompt engineering to accelerate boilerplate, docs, and data-preprocessing tasks.

Thorough Documentation

README files, inline comments, and architecture notes that make every project easy to hand off or revisit.

Component-Driven Architecture

Every project is built with reusable, composable React components — clean separation of concerns from day one.

Type-Safe Codebase

End-to-end TypeScript on both client and server — fewer runtime bugs, better DX, and confident refactoring.

Performance First

Lazy loading, code splitting, and optimised D3 render loops to keep apps fast even with heavy data payloads.

GitHub-Driven Workflow

Feature branches, meaningful commit messages, and PR-based reviews — repositories that are easy to pick up and extend.

Responsive & Accessible UI

Designs that work on every screen size and meet accessibility standards so no user is left behind.

Secure by Default

JWT auth, environment variable discipline, hashed credentials, and input validation baked into every API.

Data-Driven Decisions

Leveraging real datasets, NASA APIs, and GitHub activity to surface meaningful insights rather than demo data.

Iterative & Agile

Ship a working MVP fast, gather feedback, then iterate — keeping scope tight and momentum high.

AI-Augmented Development

Using LLM tooling and prompt engineering to accelerate boilerplate, docs, and data-preprocessing tasks.

Thorough Documentation

README files, inline comments, and architecture notes that make every project easy to hand off or revisit.

Component-Driven Architecture

Every project is built with reusable, composable React components — clean separation of concerns from day one.

Type-Safe Codebase

End-to-end TypeScript on both client and server — fewer runtime bugs, better DX, and confident refactoring.

Performance First

Lazy loading, code splitting, and optimised D3 render loops to keep apps fast even with heavy data payloads.

GitHub-Driven Workflow

Feature branches, meaningful commit messages, and PR-based reviews — repositories that are easy to pick up and extend.

Responsive & Accessible UI

Designs that work on every screen size and meet accessibility standards so no user is left behind.

Secure by Default

JWT auth, environment variable discipline, hashed credentials, and input validation baked into every API.

Data-Driven Decisions

Leveraging real datasets, NASA APIs, and GitHub activity to surface meaningful insights rather than demo data.

Iterative & Agile

Ship a working MVP fast, gather feedback, then iterate — keeping scope tight and momentum high.

AI-Augmented Development

Using LLM tooling and prompt engineering to accelerate boilerplate, docs, and data-preprocessing tasks.

Thorough Documentation

README files, inline comments, and architecture notes that make every project easy to hand off or revisit.

Component-Driven Architecture

Every project is built with reusable, composable React components — clean separation of concerns from day one.

Type-Safe Codebase

End-to-end TypeScript on both client and server — fewer runtime bugs, better DX, and confident refactoring.

Performance First

Lazy loading, code splitting, and optimised D3 render loops to keep apps fast even with heavy data payloads.

GitHub-Driven Workflow

Feature branches, meaningful commit messages, and PR-based reviews — repositories that are easy to pick up and extend.

Responsive & Accessible UI

Designs that work on every screen size and meet accessibility standards so no user is left behind.

Secure by Default

JWT auth, environment variable discipline, hashed credentials, and input validation baked into every API.

Data-Driven Decisions

Leveraging real datasets, NASA APIs, and GitHub activity to surface meaningful insights rather than demo data.

Iterative & Agile

Ship a working MVP fast, gather feedback, then iterate — keeping scope tight and momentum high.

AI-Augmented Development

Using LLM tooling and prompt engineering to accelerate boilerplate, docs, and data-preprocessing tasks.

Thorough Documentation

README files, inline comments, and architecture notes that make every project easy to hand off or revisit.

How I Work

Engineering principles I follow on every project to keep code clean, scalable, and a joy to maintain.

Featured projects

Highlight projects from the lab

A curated selection of experiments, builds, and explorations from Siddharth's dev journey — from neural nets to CTF tools.

Solvex — Skill Constellation Platform

Solvex — Skill Constellation Platform

A MERN-stack developer learning tracker that visualises your skills as a dynamic D3 force-directed constellation. Log learning events, sync GitHub repos, earn XP, and create community learning trails.

View project
DEVForge Network — AI Collaboration Hub

DEVForge Network — AI Collaboration Hub

A full-stack developer network with a 'Clear UI' aesthetic. Features real-time multiplayer code editing environments with integrated live Google Gemini AI Code Review and Consultation.

View project
Live GitHub Data

Open Source Activity

Every commit, every push — a live look at my GitHub contributions over the past year.

Contribution Heatmap · Past Year

Peer Reviewed · Published

Research & Publications

Published research at the intersection of AI, machine learning, and real-world engineering challenges.

IJPREMSVolume 05, Issue 11 · November 2025
ID: IJPREMS51100027335

AI-Powered Automated Data Analytics Dashboard for Business Intelligence

International Journal of Progressive Research in Engineering Management and Science

Authors

Shreyash V. KhobragadePranali R. ShelkeSiddharth S. SinghYuvraj N. DixitDr. Rais A.H. Khan

Abstract

In this era of modern organization, data analysis is critical in terms of making better and efficient decisions of business insights and finances with interpretable data. Technical experts are required for data handling and analysis which might be extremely time consuming as well as a hectic job using traditional methods. This paper describes how an AI-based data analytics dashboard integrates ML models, LLMs and dynamic visualization recommendations to streamline data exploration and manipulation. Users can upload Excel or CSV datasets that are automatically preprocessed and analyzed before being turned into interactive dashboards.

Machine LearningLLMsData AnalyticsBusiness IntelligenceVisualization
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