Building scalable software, intelligent AI systems, and products that solve real-world problems.
I'm a Computer Science & Design student passionate about building production-ready software.
Rather than just learning technologies, I enjoy building complete systems—from AI-powered platforms and backend architectures to machine learning solutions, automation pipelines, and game development.
I believe great software isn't measured by the amount of code written but by the number of real problems it solves.
name: Vetri Kalanjiyam
role:
Software Engineering Student
current:
- Software Developer Intern
- AI Product Builder
- Backend Developer
building:
- Startzy
- BackendForge
- Career Copilot AI
- AI Workflow Automation
specialization:
- Backend Engineering
- Artificial Intelligence
- Machine Learning
- Cloud Systems
- Automation
- Unreal Engine
currently_learning:
- Data Structures & Algorithms
- System Design
- C++
- Microservices
- Distributed Systems
interests:
- AI Agents
- Backend Systems
- SaaS Products
- Cloud Computing
- Startup Technology
fun_fact:
"I enjoy building complete products more than solving isolated coding problems."🏆 Top 100 Finalist — Meta PyTorch OpenEnv Hackathon
💼 Software Developer Intern (2026 – Present)
🤖 Built multiple AI-powered production applications
🚀 Developing AI startup platform "Startzy"
📊 Built ML dashboards using 50,000+ records
🎮 Unreal Engine 5 Developer
⚙ Passionate about scalable backend engineering
An intelligent AI-powered email triage system built for the Meta PyTorch OpenEnv Hackathon.
EETRE automates email understanding, classification, prioritization, and intelligent response generation using LLMs, reinforcement learning concepts, and autonomous AI workflows.
- 📩 Intelligent Email Classification
- 🎯 Priority Detection
- 🧠 AI-Powered Email Understanding
- 🤖 Automated Response Suggestions
- ⚡ Autonomous Workflow Execution
- 🔍 Context-Aware Decision Making
- 📊 Email Analytics
- 🔄 Multi-Step Agent Workflows
- Python
- PyTorch
- OpenEnv
- Hugging Face
- FastAPI
- Docker
- Reinforcement Learning
- AI Agents
🥇 Top 100 Finalist — Meta PyTorch OpenEnv Hackathon
- Improving autonomous email workflows
- Enhancing agent reasoning capabilities
- Experimenting with reinforcement learning techniques
- Optimizing inference performance
- Building production-ready AI systems
| Domain | Description |
|---|---|
| 🤖 AI Applications | AI Agents, RAG, LLM Apps |
| ⚙ Backend Systems | APIs, Authentication, Databases |
| ☁ Cloud | AWS, Docker, Deployment |
| 📊 Machine Learning | Prediction Models & Analytics |
| 🎮 Game Development | Unreal Engine 5 |
| 🔄 Automation | n8n AI Workflows |
| 🌐 Full Stack | React + Node.js Applications |
- Machine Learning
- Deep Learning
- Reinforcement Learning
- Neural 网络s
- CNNs
- Model Training
- Model Fine-Tuning
- Model Evaluation
- Feature Engineering
- Predictive Analytics
- Data Analytics
- Computer Vision
- Retrieval-Augmented Generation (RAG)
- Semantic 搜索
- Hybrid 搜索
- Embedding Models
- Vector 搜索
- Retrieval Pipelines
- Unreal Engine 5
- Blueprints
- Level Design
- Environment Design
- Asset Creation
- Pandas
- NumPy
- Scikit-Learn
- Data Cleaning
- Data Visualization
- Statistical Analysis
- Time Series Forecasting
- Predictive Modeling
AI Engineering:
- AI Agents
- Large Language Models
- Retrieval-Augmented Generation (RAG)
- Reinforcement Learning
- Prompt Engineering
- Multi-Agent Systems
Software Engineering:
- Backend Development
- REST APIs
- Microservices
- Distributed Systems
- System Design
- Cloud Computing
Machine Learning:
- Model Training
- Model Fine-Tuning
- Predictive Analytics
- Computer Vision
- Data Analytics
Product Development:
- SaaS Platforms
- Startup Technology
- AI Products
- Workflow Automation
- MVP Development- Crack an SDE Internship at a leading product company
- Master Data Structures & Algorithms
- Build production-grade AI software
- Launch Startzy publicly
- Contribute to Open Source
- Learn advanced System Design
- Build an Unreal Engine indie game
