Hi, I'm RAHUL
Building intelligent AI agents that remember and reason.
RJ

About

I am a mid-level Full Stack + AI engineer focused on shipping reliable products with clean architecture and measurable business impact. My core strengths include designing responsive frontends, building scalable APIs, integrating cloud services, and developing AI capabilities with Generative AI and Agentic AI patterns. I work across the complete lifecycle — planning, development, testing, deployment, optimization, and long-term maintenance — while collaborating effectively with cross-functional teams in Agile environments.

GitHub Activity

Skills

Frontend Development

React
Next.js
TypeScript
JavaScript ES6+
Redux Toolkit
Component Architecture
Server-Side Rendering
Static Site Generation

Backend Development

Node.js
Express.js
Python
Django
Django REST Framework
RESTful API Design
GraphQL
API Gateway

Database & Data

MongoDB
PostgreSQL
SQL Queries
NoSQL Databases
Redis
Query Optimization

Docker & DevOps

Docker
Docker Compose
Containerization
Container Orchestration
CI/CD Pipelines
GitHub Actions

Generative AI

Generative AI
Large Language Models (LLMs)
OpenAI API Integration
GPT Models
Text Generation
Prompt Engineering
LLM Fine-tuning
Retrieval Augmented Generation (RAG)
Vector Embeddings
Semantic Search
Document Processing
Content Generation
LangChain
LlamaIndex

Agentic AI

Agentic AI
AI Agents
Agent Orchestration
LangGraph
ReAct Pattern
Tool Integration
Function Calling
Agent Frameworks
Multi-step Reasoning

Natural Language Processing

Text Classification
Sentiment Analysis
Named Entity Recognition (NER)
Text Preprocessing
Tokenization
Word Embeddings
Transformer Models
BERT
Text Summarization
Question Answering
Language Understanding
NLTK
spaCy

Machine Learning

Machine Learning
ML Models
Supervised Learning
Unsupervised Learning
Classification
Regression
Clustering
Feature Engineering
Data Preprocessing
Exploratory Data Analysis (EDA)
Model Evaluation
Cross Validation
Time Series Forecasting
Demand Prediction
Scikit-learn
TensorFlow
PyTorch
Pandas
NumPy
Matplotlib
Seaborn
My Projects

Check out my latest work

I've worked on a variety of AI/ML projects, from memory systems to workflow automation platforms. Here are a few of my favorites.

Contracts Life Cycle Management (CLM)

Built an end-to-end Contract Lifecycle Management platform with separate frontend and backend services. Implemented authentication and role-based workflows, contract/review/repository modules, AI-powered contract analysis, and production-ready API + UI integration for complete lifecycle operations.

Next.js
React
TypeScript
Django
Django REST Framework
PostgreSQL
Redis
Celery

WriteByHand

Developed an end-to-end text-to-handwriting SaaS system with dedicated frontend and backend repositories. Delivered canvas-based handwriting rendering workflows, export pipeline support, subscription/usage controls, and backend APIs for authentication, feature usage tracking, and platform operations.

React
TypeScript
Django
Django REST Framework
PostgreSQL
Redis
Docker

Statyx

Built a full end-to-end analytics platform with React frontend and Django backend. Implemented referral-network analytics, sports intelligence dashboards, OAuth/OTP-based authentication flows, and real-time API-driven visual insights with production-oriented deployment setup.

React
TypeScript
Vite
Redux Toolkit
Django
Django REST Framework
PostgreSQL

MERN Charts

Created a full-stack MERN analytics dashboard from end to end, including backend APIs, MongoDB models, and interactive frontend data visualizations. Built modules for products, customers, transactions, geography, sales, admin, and performance views with reusable dashboard components.

MongoDB
Express.js
React
Node.js
Redux Toolkit
Material UI
Nivo Charts

Structured Sentiment Analysis

Built an AI/NLP project for structured sentiment analysis to classify and extract sentiment signals from text into meaningful structured outputs for downstream analytics and decision workflows.

Python
NLP
Sentiment Analysis
Machine Learning
Data Processing

Store Sales Time Series Forecasting

Developed an AI-based time-series forecasting solution for store sales using Kaggle dataset workflows, including feature engineering, model training, and evaluation for demand and trend prediction.

Python
Time Series Forecasting
Machine Learning
Pandas
Scikit-learn
Kaggle
Hackathons

I like building things

Solving real-world problems with innovative tech, from IoT systems to blockchain applications.

  • S

    Smart India Hackathon (SIH)

    India

    Represented 6-member team in designing IoT-based Sewage Problem Alert system, securing top finalist position among 30,000+ participating teams. Developed a comprehensive solution for real-time sewage monitoring and alerting.
  • H

    Hack JKLU

    India

    Conceptualised and prototyped Blockchain-based eVault system with 256-bit encryption, earning 3rd place recognition for innovation. Built a secure digital vault solution leveraging blockchain technology for enhanced data protection.
LeetCode
CodeForces