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Itte Aravind

Developer + Back-End, AI/ML, Deep Learning, API, and Dive In!

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RealTime Object Detection

A real-time object detection system that processes live camera feeds, uploaded videos, and images using state-of-the-art YOLO models.

ChatMaster Web App

A modern, full-stack real-time chat application with voice/video calling capabilities, built with React, Node.js, Socket.io, and MongoDB.

Japan's Tourism Trends

A comprehensive, real-time dashboard showing international visitor arrivals to Japan by top countries (2018-present), highlighting COVID-19 impact and recovery trends.

Hi there

I’m Itte Aravind, a backend-focused software engineer specializing in AI-integrated systems, backend architecture, and full-stack development.

I build robust applications that combine reliable backend engineering with modern AI capabilities. My work spans Python, C++, JavaScript/TypeScript, Node.js, Django, FastAPI, React, PostgreSQL, MongoDB, AWS, and Docker, with a focus on APIs, AI/ML integration, data processing, and scalable systems.

I’ve worked on RAG systems, AI automation, computer vision, payment and billing platforms, and developer tools for international clients and startups. I enjoy turning complex requirements into practical, maintainable products.

Outside of work, I’m constantly exploring new technologies and building side projects around AI, backend engineering, and distributed systems.

Experience

  • Software Engineer / Freelance Developer — International Clients & Startups • Jun 2025–Present
    Backend Engineering, AI Integration, RAG Systems, API Development, Computer Vision, System Architecture, Full-Stack Development
  • Research Student — SRM University AP • Jan 2025–Apr 2025
    Worked on research involving genetic data and mental-disorder classification. Built a hybrid classification approach using XGBoost, BiLSTM, and CNN, covering data preprocessing, feature engineering, model training, performance evaluation, and comparative analysis.
  • AI Training Consultant — Outlier • Dec 2024–Jan 2025
    LLMs, AI Training, NLP, Data Annotation, Model Evaluation
  • Software Engineering Intern — SRM Global Consulting • Jun 2024–Dec 2024
    Developed and improved systems used by university research labs. Worked on Ruby backend development, system architecture, feature improvements, optimization, and AI feature integration, achieving an approximately 25% performance improvement.
  • Research Student — SRM University AP • Sep 2023–Dec 2023
    Conducted research on brain-tumor image segmentation using deep learning. Compared ResNet50, InceptionV3, VGG16, and CNN models, including data preprocessing, model training, evaluation, and result analysis.
  • AWS Intern — APSSDC • Jun 2023–Aug 2023
    Developed cloud-based applications using Amazon S3, AWS Lambda, and Amazon Lex. Worked on application development, API integration, and basic cloud operations.
  • Penetration Testing Intern — Cestro Technologies • Jun 2023–Jul 2023
    Performed web application security assessments and vulnerability testing using Burp Suite and OWASP ZAP. Worked on authentication and input-validation security improvements and provided recommendations to the development team.
Me smiling like a goofball at the Qwilr office in Sydney

Tech Stack

LanguagesPython · C++ · JavaScript · TypeScript · Ruby · SQL
BackendNode.js · Django · FastAPI · REST APIs · API Architecture · Microservices · Authentication · Backend Systems
FrontendReact · Next.js · HTML · CSS · Three.js · shadcn/ui
AI / MLTensorFlow · OpenCV · Computer Vision · NLP · LLMs · RAG · Knowledge Bases · Model Evaluation · AI Automation
DatabasesPostgreSQL · MySQL · MongoDB · SQLite
Cloud & InfrastructureAWS · Docker · Linux · Git · GitHub · CI/CD
Data & VisualizationPower BI · Google Charts · Data Analysis
SecurityBurp Suite · OWASP ZAP · API Security · Web Security Testing
OtherSystem Architecture · Distributed Systems · DSA · OOP · Backend Optimization