Building intelligent software products that solve real-world problems.
I'm a Computer Science Engineering student and Software Developer focused on building reliable, scalable and user-centered software.
My work combines:
Software Engineering
+
Full-Stack Development
+
Artificial Intelligence
+
Cloud Computing
+
Product Development
I enjoy taking a problem from idea → architecture → development → deployment → improvement.
🎓 B.E. Computer Science & Engineering — Madha Engineering College
🎓 Innovation Ambassador — Ministry of Education
☁️ AWS Cloud Club — Core Team Member
🥈 2nd Prize — Technical Paper Presentations
🚀 Founder — Zhynor Technologies
┌──────────────────────┐
│ Problem / Idea │
└──────────┬───────────┘
↓
┌──────────────────────┐
│ Requirements & Design │
└──────────┬───────────┘
↓
┌──────────────────────┐
│ System Architecture │
└──────────┬───────────┘
↓
┌──────────────────────┐
│ Development │
└──────────┬───────────┘
↓
┌──────────────────────┐
│ AI / API Integration │
└──────────┬───────────┘
↓
┌──────────────────────┐
│ Testing & Debugging │
└──────────┬───────────┘
↓
┌──────────────────────┐
│ Deployment & Cloud │
└──────────┬───────────┘
↓
┌──────────────────────┐
│ Continuous Improvement│
└──────────────────────┘
| Area | Focus |
|---|---|
| 💻 Software Engineering | Application design, architecture & development |
| 🌐 Full-Stack Development | Frontend, backend & REST APIs |
| 🤖 AI Engineering | AI applications, RAG, LLMs & intelligent systems |
| 🧠 Applied AI | Semantic search, embeddings & AI assistants |
| ☁️ Cloud Engineering | AWS, deployment & cloud infrastructure |
| 🗄️ Data | SQL, PostgreSQL, Firebase & data modeling |
| 🐳 DevOps | Docker, CI/CD & deployment |
| 🚀 Product Engineering | Idea → MVP → deployment |
Python Java C C++ JavaScript TypeScript
HTML CSS JavaScript TypeScript React React Native Tailwind CSS
Node.js FastAPI Django REST Firebase REST APIs Authentication
Artificial Intelligence
Generative AI
LLM Applications
Retrieval-Augmented Generation (RAG)
Embeddings
Semantic Search
Vector Search
AI Assistants
AI Agents
Sentiment Analysis
Intent Detection
Documents
↓
Document Processing
↓
Chunking
↓
Embeddings
↓
Vector Database
↓
Semantic Retrieval
↓
LLM
↓
Context-Aware Response
PostgreSQL MySQL SQL Firebase Database Design Data Modeling
AWS Docker Kubernetes CI/CD Cloudflare Vercel GitHub
Selected projects demonstrating software engineering, AI, architecture and product development.
An intelligent platform that helps customer service agents analyze customer interactions and improve their responses through AI-powered assistance.
- 🎯 Customer intent detection
- ❤️ Sentiment analysis
- 📚 RAG-based knowledge retrieval
- 💡 AI response suggestions
- 🗣️ Agent tone evaluation
- 🤖 Customer simulation
- 🔄 Conversation replay
- ⚡ Real-time interaction analysis
Customer Message
↓
Intent + Sentiment Analysis
↓
Knowledge Retrieval
↓
RAG Pipeline
↓
LLM Processing
↓
Response Recommendation
↓
Agent Feedback
React TypeScript FastAPI Python RAG LLM Vector Search
🔗 Repository:
https://github.com/Shintoo-Engineer/Customer-Support-Assistant
A digital electricity marketplace concept connecting prosumers, producers and consumers through a smart energy ecosystem.
- ⚡ Energy marketplace
- ☀️ Surplus energy management
- 🤝 Smart matching
- 📊 Energy forecasting
- 🗺️ Grid visualization
- 🔌 Smart meter simulation
- 💰 Energy wallet
- 📑 Contracts
- 💳 Transactions
- 🧾 Settlement
- 🤖 AI Energy Assistant
- 👥 Role-based dashboards
Producer / Prosumer
↓
Energy Listing
↓
Smart Match Engine
↓
Consumer
↓
Contract & Transaction
↓
Settlement / Wallet
React TypeScript Node.js PostgreSQL AI
🔗 Repository:
https://github.com/Shintoo-Engineer/PowerGridX
An AI-powered academic assistant designed to answer student questions using their study materials.
- 📄 Document processing
- 🔎 Semantic search
- 🧠 Knowledge retrieval
- 📚 RAG pipeline
- 💬 Context-aware question answering
- 🗂️ Study material management
React TypeScript Python RAG Vector Search LLM
🔗 Repository:
https://github.com/Shintoo-Engineer/University-AI-Study-Assistant
A calculation platform designed for mathematics, science, engineering and everyday use.
- Scientific calculations
- Engineering calculations
- Graphing
- Mathematical formulas
- Scientific utilities
- Unit conversion
TypeScript React Vite
A web-based toolkit for common PDF operations.
- Merge PDFs
- Split PDFs
- Compress PDFs
- Convert PDFs
- Protect PDFs
- Watermark PDFs
- Organize PDFs
TypeScript React Browser APIs
A data-driven platform concept focused on analytics, GIS intelligence and predictive insights for citizen service delivery.
Data Analytics
+
GIS Intelligence
+
Demand Forecasting
+
AI Insights
+
Service Optimization
Role: Project Lead
An intelligent travel platform designed to provide personalized travel planning and recommendations.
- 🤖 AI travel assistant
- 🗺️ Maps integration
- 🧳 Personalized itineraries
- 💰 Budget planning
- 🌐 Multilingual support
- 📡 Offline support
- 🚨 SOS functionality
- 📍 Location-based recommendations
Role: Project Lead & Product Strategist
I founded Zhynor Technologies to build practical software products and digital solutions.
💻 Software Development
↓
🤖 AI Applications
↓
🌐 Web Applications
↓
📱 Mobile Applications
↓
⚙️ Business Automation
↓
☁️ Cloud Solutions
- Software development
- Product architecture
- Product strategy
- Project leadership
- Team coordination
- Technology research
- Deployment
- Product improvement
Ministry of Education — Government of India
Promoting innovation, entrepreneurship and technology initiatives among students.
Core Team Member — Certification & Learning Lead
- Cloud learning initiatives
- Technical sessions
- Certification guidance
- Knowledge-sharing activities
2nd Prize Winner
Received:
🥈 Second Prize 📜 Certificate 💰 Cash Prize
Computer Science Student
↓
Software Development
↓
Full-Stack Development
↓
AI / RAG Applications
↓
Cloud & Deployment
↓
Product Engineering
↓
Software Engineering
I'm continuously improving my engineering skills in:
AI & LLM Applications
RAG & Vector Search
AI Agents
System Design
Cloud Architecture
Docker & Kubernetes
DevOps & CI/CD
Scalable Software Architecture
🔍 Problem Solving
I start by understanding the actual problem, users, constraints and expected outcome before selecting technologies.
🏗️ System Design
I break complex requirements into manageable components and think about architecture, APIs, databases and scalability.
💻 Development
I focus on readable code, reusable components, maintainable architecture and practical implementation.
🧪 Testing & Debugging
I identify failures systematically, debug issues and iterate until the system behaves reliably.
☁️ Deployment
I work with cloud platforms, containers and deployment workflows to move applications from development to production.
Madha Engineering College, Chennai
CGPA: 8.51
Expected Graduation: 2028
- 🎓 NPTEL — Cloud Computing
- 🤖 Infosys Springboard — Artificial Intelligence
- 🐍 Infosys Springboard — Python Technology Stack
- ☕ Infosys Springboard — Java Technology Stack
- ☁️ AWS Cloud Learning Programs
┌────────────────────────────────────────────┐
│ │
│ SOFTWARE ENGINEERING │
│ ↓ │
│ SYSTEM DESIGN │
│ ↓ │
│ AI / LLM │
│ ↓ │
│ RAG / AI │
│ ↓ │
│ CLOUD ENGINEERING │
│ ↓ │
│ PRODUCTION SYSTEMS │
│ │
└────────────────────────────────────────────┘
I'm interested in opportunities involving:
Software Engineering • Full-Stack Development • AI Engineering • Cloud Engineering • Product Engineering
I'm particularly interested in environments where I can:
- Build production-quality software
- Work with experienced engineers
- Solve complex technical problems
- Learn system design and scalable architecture
- Contribute to real products
- Grow as a Software Engineer
