Siddhantsinh Raj
Full Stack Developer & AI Integrator
About Me
Full Stack Developer
Ahmedabad, Gujarat, India
Dynamic Software Engineer focused on AI integrations and high-fidelity web applications. Expert in uniting client-side rendering paradigms with secure, scaleable backends. Seeking to push the boundaries of software capabilities through data pipelines and AI logic.
Professional Experience
Full Stack Developer
Excelsior Technologies
Jan 2026 — Present · Ahmedabad, Gujarat, India
• Engineered serverless instant-delivery e-commerce infrastructure using React 19 and Supabase backend.
• Created custom design framework with lightweight 3D CSS structures and Framer Motion canvases.
• Overhauled client-side rendering performance and synchronization using TanStack Query and Zustand.
Azure AI & Power BI Intern
Microsoft
Jul 2025 — Jul 2025 · Remote
• Configured cloud environments using Azure App Services and built pipelines in Data Factory.
• Developed interactive dashboard visualizations in Power BI to report operational datasets.
• Authored optimized metrics and structured modeling formulas using DAX expressions.
Projects
Blueprint.db
Individual Project · Jul 2026
Schema migration is tedious and error-prone when done manually. Blueprint.db automates the entire translation from relational SQL DDL to production-ready NoSQL schemas using a regex-driven parser engine.
• Approach: Parses standard DDL patterns (MySQL/PostgreSQL dialects) and maps SQL types to NoSQL equivalents with full Mongoose model output.
• Result:
Shopping Spree
Excelsior Technologies · Jan 2026 — Apr 2026
Traditional e-commerce flows suffer from high cart-abandonment due to slow auth. Shopping Spree eliminates friction with a serverless React 19 + Supabase stack and passwordless checkout.
• Approach: Deployed Supabase magic-link auth, Stripe microservices for identity verification, and automated referral schemes via backend edge functions.
• Result:
Beadeffect
Individual Project · Feb 2026
Standard CSS filters can't produce real-time beaded-art visual effects at performance. Beadeffect builds a high-performance rendering pipeline over Canvas/WebGL to process live camera and image input.
• Approach: Decomposes image frames into dynamic bead grids, rendering each cell with configurable density, color mapping, and animation controls.
• Result:
ChadGPT
Individual College Project · Jul 2025
Generic chatbot frameworks are heavyweight. ChadGPT is a lightweight Python NLP chatbot using intent classification maps with no external ML framework dependency.
• Approach: Implemented predefined intent classification with condition maps and pattern-matching logic for fast, modular response routing.
• Result:
Skills
Frontend
Backend
Database & Analytics
Tools & Workflow
Education
Academic History
B.E. Computer Engineering
SAL Engineering & Technical Institute (GTU)
CGPA 7.40 Graduated
Certifications
Design & Manage Analytics Solutions using Power BI
Microsoft
Introduction to AI in Azure
Microsoft
Data Analytics
CreArt Solutions PVT LTD
Open Source Contributions
Public contributions to external projects and packages. Populate with real entries before enabling.
[TODO: Add first contribution entry to enable this section]
Writing & Notes
Technical articles, dev notes, and tutorials. Enable once content exists — do not show empty state in production.
[TODO: Connect Dev.to / Hashnode RSS feed or add local MDX entries to enable this section]
Visitor Guestbook
Visitor Log
Loading visitor messages...
Get in Touch
Open to opportunities and collaborations.