Vetri Kalanjiyam,
visual technologist building useful,
engaging digital products
Computer Science and Design specialist with expertise in AI systems, full-stack development, and game environment design. I build ML-powered web applications, predictive analytics dashboards, and automation workflows with scalable engineering practices.
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My Interests
About
I am a Computer Science and Design undergraduate specializing in AI/ML, backend development, and applied software engineering. I have hands-on experience designing and deploying AI-powered applications, Retrieval-Augmented Generation (RAG) pipelines, automation workflows, and backend systems. Recently, my autonomous email triage system was selected among the Top 100 teams nationally (out of 52,000+ developers) in the Meta PyTorch OpenEnv Hackathon.
A glimpse into my latest work
EETRE — Enterprise Email Triage & Response Environment
Meta PyTorch OpenEnv Hackathon × Scaler Grand Finale (Top 100 of 52,000+ developers). An autonomous email triage benchmark environment with a 4-tier difficulty system and spam/phishing detection. Trained a SmartEmailAgentBrain agent on Qwen2.5-0.5B using GRPO (Group Relative Policy Optimization). Deployed to Hugging Face Spaces.
Research Paper Answer Bot
RAG Capstone project for Analytics Vidhya GenAI Pinnacle Program. An end-to-end Retrieval-Augmented Generation pipeline using FAISS for vector search and Groq as the LLM backend. Compares multiple embedding and retrieval strategies to optimize answer relevance and latency.
Conversational AI for Crime Database
Karnataka State Police Hackathon 2026 project. Designed a full deployment architecture on Zoho Catalyst with role-based access control (RBAC) and ML-driven case intelligence for natural language database querying.
AI Founder-Story Reel Generator
A complete n8n workflow generating AI-powered founder story reels using Groq's Llama models, Google Sheets, Docs, and Gmail API integrations.
EV Adoption Forecasting Dashboard
Analyzed 50,000+ vehicle registration records spanning seven years to build ML forecasting models achieving 85% accuracy. Designed interactive dashboards that reduced stakeholder analysis time by 40%.
Tools I work with
Experience that shapes meaningful design
Dual-Track Intern (Software Development & AI) — SNS iHub, Coimbatore
Completed a 90-day dual-track internship spanning full-stack web development and applied AI. Built full-stack applications using React, Node.js, and MongoDB, and developed Retrieval-Augmented Generation (RAG) systems and chatbots using Minimax AI models.
2026 (1-year)
AI & Data Analytics Intern (Virtual) — AICTE, Shell India & Edunet Foundation
Analyzed 10,000+ records for green-energy algorithm optimization, improving processing speed by 15%, and delivered predictive models with 90% accuracy in a 4-member team.
Jul 2025 — Aug 2025
Web Development Intern — VaultofCodes.in (Remote)
Refactored legacy code to reduce technical debt by 10%, resolved 15+ critical bugs, and improved responsive UX, increasing mobile retention by 25%.
Jul 2025 — Aug 2025
Contact
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I focus on AI products, full-stack web applications, analytics dashboards, and automation systems for startups and growth teams.
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