Building real-world applications, scalable backend systems, AI-powered products, and automation workflows.
π§ Email: prijithjohn07@gmail.com
- π Computer Science & Engineering Graduate from Sathyabama Institute of Science and Technology
- π» Aspiring Software Engineer focused on backend and full-stack development
- β Building applications with Java, Spring Boot, Python, Django, and React
- π€ Developing AI-powered applications using LLM APIs, OCR, and intelligent automation
- π³ Working with Docker, Linux, GitHub Actions, and CI/CD workflows
- ποΈ Experienced with PostgreSQL, MySQL, and MongoDB
- ποΈ Interested in system design, scalable architectures, DevOps, and platform engineering
- π Focused on building software that solves practical, real-world problems
Generative AI
LLM APIs
Google Gemini
Groq
OCR
Pandas
AI Automation
Data Processing
An enterprise-oriented data governance platform built to analyze datasets, identify sensitive information, evaluate risk, and generate governance insights.
- Built using Django 5, PostgreSQL, Pandas, Celery, Redis, and Docker
- Implemented automated metadata extraction and PII detection
- Added data quality analysis and risk classification
- Designed asynchronous processing using Celery + Redis
- Supports analysis of large CSV and JSON datasets up to 1GB
- Generated automated governance reports using ReportLab
- Implemented containerized deployment and GitHub Actions CI/CD
- Built dashboards for visualizing dataset and risk insights
π Live Demo: MetaGuard
AI-powered application that analyzes medical prescriptions using OCR and Generative AI.
- Built an end-to-end prescription analysis workflow using Python
- Integrated OCR APIs for extracting information from prescription images
- Integrated Google Gemini for intelligent analysis and structured output
- Designed preprocessing workflows to improve text extraction
- Built an interactive application using Streamlit
- Added prescription history and AI-generated analysis workflows
- Containerized the application using Docker
Tech:
Python
Streamlit
OCR
Gemini AI
Docker
An AI-powered LinkedIn productivity assistant designed to automate professional communication workflows.
- Built the backend using Java + Spring Boot
- Developed the frontend using React.js
- Integrated Groq AI for intelligent content generation
- Generates referral requests, recruiter messages, connection requests, and LinkedIn replies
- Built a Chrome Extension for AI assistance directly inside LinkedIn
- Designed the system around practical networking and productivity workflows
Tech:
Java
Spring Boot
React.js
Groq AI
Chrome Extension
AI-powered email productivity application designed to assist users with writing and managing email communication.
- Developed REST APIs using Spring Boot
- Built the frontend using React.js
- Integrated LLM APIs for intelligent email generation
- Designed AI-assisted workflows for replies and email composition
- Focused on productivity, automation, and practical AI integration
Tech:
Java
Spring Boot
React.js
Gemini API
Full-stack event management platform built with a modern Java backend architecture.
- Developed RESTful APIs using Spring Boot
- Implemented backend business logic and API integration
- Built the frontend using React.js
- Designed database interactions using MongoDB
- Focused on modular backend architecture and scalable application design
Tech:
Java
Spring Boot
React.js
MongoDB
REST APIs
Automated job discovery and notification platform built using n8n.
- Created scheduled workflows for automated job discovery
- Monitors multiple job sources and company career pages
- Filters opportunities based on predefined criteria
- Stores discovered jobs in Google Sheets
- Implements duplicate detection to prevent repeated job entries
- Integrated Telegram Bot notifications
- Designed the workflow around automated data collection and event-driven notifications
Tech:
n8n
Google Sheets
Telegram Bot
APIs
Automation
Working on enterprise software architecture and system-design problems involving distributed backend systems, middleware, IoT data, and scalable service architecture.
- Robot management systems
- Backend service architecture
- Middleware design
- IoT data modelling
- Asset mapping
- REST API design
- PostgreSQL data architecture
- Dockerized services
- NGINX
- FastAPI
- React
- Flutter
Focused on understanding how individual applications evolve into reliable, maintainable, and scalable enterprise systems.
Backend Engineering β’
Full Stack Development β’
REST APIs β’
System Design β’
AI Engineering β’
DevOps β’
Automation β’
Data Engineering
- β Advanced Java & Spring Boot
- π§ Data Structures & Algorithms
- ποΈ System Design & Backend Architecture
- π³ Docker & Containerization
- βοΈ CI/CD & GitHub Actions
- π§ Linux & Infrastructure Fundamentals
- βοΈ Cloud & DevOps Fundamentals
- π€ Generative AI & LLM Application Development
- β Become a strong Software Engineer with solid engineering fundamentals
- β Build scalable backend and full-stack applications
- β Master Java, Spring Boot, DSA, and system design
- β Develop production-ready AI-powered applications
- β Strengthen DevOps, cloud, and infrastructure skills
- β Contribute to impactful real-world software products
πͺ Fitness & strength training
π§ Psychology & human behavior
π Books & continuous learning
πΌ Business & strategic thinking
π± Nature & creativity
π Building products and experimenting with new ideas

