Vibe Coder Checklist: Front-End Engineer in the AI Era
How to ship production-quality React apps faster by letting AI do the heavy lifting, without losing control of quality.
#react#ai#frontend
Recent Work Highlights
🤖
Gen AIChatbot Admin Portal & RAG Chatbot
RAG chatbot achieving 75%+ accuracy, powered by AWS CDK, QuickSight, and Nova Pro.
ReactAWSCDKBedrockRAG
POC
📋
POCDocument AI
Litigation Text Extraction
Document extraction with ~90% accuracy across newspapers, CEDs, and Gazettes using Sonnet 4.
LambdaS3TextractBedrock
⚙️
Go-LiveAdmin Portal
Text Extraction Admin Portal
Scalable React + TypeScript portal with automated CI/CD pipeline and image processing.
ReactTypeScriptCI/CD
🗄️
POCData & AI
Redshift Knowledge Base
Integrated Redshift as an alternative knowledge base source for the POC chatbot.
RedshiftAWSBedrockLambda
🔐
Go-LiveData Management
Data Asset Management Portal
Built from scratch with Playwright E2E testing and full VAPT compliance.
ReactPlaywrightVAPT
🌿
Go-LiveAgronomy
Agronomy Admin Portal
Cross-team delivery featuring postMessage auth POC and hands-on team mentoring.
ReactTypeScriptAuth
🏥
Go-LiveHealthcare
Healthcare Admin Portal
Refactored for VAPT and SonarQube compliance, resolving circular dependencies across cross-functional teams.
ReactSonarQubeVAPT
Latest Posts
From BERT Theory to Real-World RAG
My experience building production chatbots with RAG architecture
#nlp#bert#rag
Understanding the Architecture
A deep dive into BERT architecture exploring the Transformer encoder and multi-head self-attention mechanism
#nlp#bert#transformer
How to Determine Sentiment Polarity for Annotation
A practical guide to labeling sentiment polarity for ML annotation
#nlp#sentiment-analysis#annotation
How BERT Works and Why It Helps Code-Mixed Text
A whitebox conceptual view of how BERT works, what it learns during pretraining, and why it fits code-mixed text
#nlp#bert#transformer
Why Pretrained Language Models Matter
Exploring why pretrained language models like BERT are practical when labeled data and compute are limited
#nlp#bert#machine-learning