AR

ARUN RAJ M R

AI Engineer · Generative AI · Agentic AI

Kerala, India

@a_r_u_n

0 followers

About

B.Tech Computer Science Engineering graduate with hands-on experience in Artificial Intelligence, Machine Learning, Generative AI, LLMs, and Agentic AI. Built and deployed end-to-end AI applications involving ML models, AI agents, LLM workflows, computer vision, and full-stack integration.

Experience

  • App Development Intern
    Pace Lab · Kochi
    2024 – 2024

    Developed mobile application features using Flutter and Dart and integrated REST APIs. Contributed to debugging, feature improvements, and application testing.

Education

  • B.Tech in Computer Science & Engineering
    MGM Technological Campus
    Awarded by APJ Abdul Kalam Technological University (KTU)
    Computer Science · 2022 – 2026

Skills

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Groq Codex MySQL Claude Cursor GitHub Render Replit Vercel PostgreSQL GitHub Copilot OpenAI ChatGPT

Projects

  • FoodSnap AI — Food Recognition & Nutrition App
    Flutter, Python, Django REST Framework, TensorFlow, OpenCV, MySQL

    Developed a mobile food recognition and nutritional analysis application using MobileNetV2 with an attention mechanism. Integrated TensorFlow Lite, OpenCV, and Tesseract OCR for mobile inference, image processing, and ingredient scanning. Developed REST APIs using Django REST Framework and integrated the AI model with the mobile application.

  • Voyager AI — Full-Stack AI Travel Planner
    Next.js, React, PostgreSQL, Prisma, Groq/Llama 3, Clerk

    Built and deployed an AI travel planner generating personalized itineraries, budgets, hotel suggestions, food recommendations, and destination insights. Integrated Llama 3 through Groq for contextual travel planning and structured itinerary generation. Added trip-aware chatbot, budget conversion, shareable trips, and PDF/HTML export.

  • RecoverAI — Agentic AI Revenue Recovery Platform
    Python, scikit-learn, LangGraph, Groq/Llama, FastAPI, PostgreSQL, Next.js

    Built an AI platform for analyzing failed payments, subscriptions, abandoned checkouts, and overdue invoices. Evaluated ML models on 20,000 synthetic cases; selected Logistic Regression with 0.784 ROC-AUC, 91.7% recall, and 0.773 F1. Built an 8-node LangGraph workflow combining ML prediction, LLM reasoning, policy checks, decision routing, and recovery simulation.

Courses & certifications

  • Web Development Certification · Tegrand
  • Cyber Security Workshop · Redteam Hacker Academy
  • Claude AI with Vertex AI · Anthropic
  • One Million Prompters · Dubai Future Foundation

Explore the Broxer community

🤖
Online · instant AI help
Broxer