I built my first website to show off my graphic design and video editing. Over two years later, I'm still building them. 🎬
For about four years before that, design and editing were just hobbies. I wanted somewhere to put the work, so I designed a portfolio site. That was the start of the web design journey.
Since then the stack has moved. Design in Figma, build in Framer and Wix Studio. WordPress when a project needed it. Most recently, Wix Headless with Astro, built with AI.
Here's what I'd say has shifted, from where I sit:
Templates got good. A decent-looking site stopped being the hard part.
AI got good enough to build a whole site. I've done it myself.
What didn't get faster is knowing what a site should say, who it's for, and what the first screen needs to do. Every tool makes the building quicker. None of them make that part quicker.
If I could tell myself one thing at the start: always experiment and learn. Every tool above started as something I hadn't used before.
The reel is what's come out of it so far.
What's the biggest shift you've seen in how websites get built? 👇
GST Sales Register & Invoice Management in Microsoft Excel | GST Reconciliation
I prepared a structured GST Sales Register in Microsoft Excel to maintain and organize sales invoice details for the financial year 2026–27.
Key tasks completed:
Recorded invoice numbers, invoice dates, and customer/party details.
Organized GSTIN, HSN codes, quantities, taxable values, and freight charges.
Maintained GST rate and IGST details for sales transactions.
Calculated invoice amounts and organized invoice-wise tax information.
Prepared a consolidated sales register with grand totals.
Identified missing invoice information and potential discrepancies for verification.
Skills demonstrated: Microsoft Excel, GST Accounting, Sales Register Preparation, Invoice Management, Data Entry, Bookkeeping, and Financial Reporting.
This project demonstrates my ability to maintain organized sales records, manage invoice data, and support accurate accounting and GST reporting for businesses.
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Daily Sales Register & Payment Reconciliation Report in Microsoft Excel | July 2026
I created a professional Daily Sales Register and Payment Reconciliation Report for July 2026 using Microsoft Excel. The project organizes daily sales, bank receipts, cash receipts, and total payments received into a structured accounting report.
Key tasks completed:
Prepared a daily sales register for 31 days.
Organized sales, bank, cash, and payment received records.
Calculated daily outstanding balances using Sales Amount minus Payment Received.
Reconciled monthly totals and identified discrepancies.
Created a monthly financial summary for easier review.
Used Excel formulas to improve calculation accuracy and reporting efficiency.
Skills demonstrated: Microsoft Excel, Data Entry, Bookkeeping, Sales Reporting, Payment Reconciliation, Financial Reporting, and Accounting.
This project demonstrates my ability to maintain organized financial records, verify transaction totals, and prepare clear accounting reports for businesses.**
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A structured GST invoice sample demonstrating billing accuracy, tax calculation, professional formatting, and attention to detail.
AI Engineer: RAG • AI Agents • Document AI • LLM Application
New to Contra
AI Engineer: RAG • AI Agents • Document AI • LLM Application
This is basically a tutorial for beginners who want to learn LangChain, I have curated relevant sources and provided my understanding in here to help learners move fast, and dont need to dig hours for relevant study material.
I hope this helps!
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JOYI is an AI assistant built using LangGraph, Streamlit, and Google Gemini. It supports memory, streaming responses, and a clean ChatGPT-style interface.
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Built a role-aware conversational AI assistant for manufacturing operations, enabling users to query and analyze structured database data using natural language.
Implemented Text-to-SQL, LangGraph agent orchestration, RBAC, conversational Human-in-the-Loop clarification, controlled database write operations, confirmation workflows, audit logging, and dynamic tables/visualizations.
The system intelligently asks for clarification when requests are ambiguous and safely executes authorized actions only after validation and user confirmation.
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This project is an agentic lesson-generation system that creates a beginner lesson, evaluates it against hard pass/fail quality checkpoints, and regenerates it when the lesson fails. The workflow terminates when the lesson passes or the retry budget is exhausted.
The lesson is designed for a 12th-grade graduate from India with limited English vocabulary, a non-English-medium background, and no prior AI knowledge.
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