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  • Tamil Nadu, India

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aravinthakshan/README.md

Hi there, I'm A S Aravinthakshan! 👋

Welcome to my GitHub profile! I’m a Computer Science and Engineering student at MIT, Manipal, with a strong focus on AI, Machine Learning, and Deep Learning.

Experiences

  • Machine Learning Engineer Intern at ProCodeBase Developing AI Agents capable of automating complex tasks with adaptable contextual memory and tools.

  • Prism Intern at Samsung R&D
    Developing a Django-based web application for multi-view image annotation with advanced 3D rendering using React and Next.js.

  • AI Researcher at Mars Rover Manipal
    Implemented deep learning algorithms for feature selection and data pre-processing; working on a research paper introducing a novel denoising architecture.

  • ML and NLP Intern at Larsen & Toubro
    Standardized construction activity codes, developed a Streamlit app, and implemented a semantic search feature for efficient knowledge management, and developed a polynomial regression model for predicting duration of future projects.

  • Founders Office Intern at BugBase
    Conducted market analysis, managed social media, and worked on RAG.

Feel free to reach out through my LinkedIn or check out more of my work on GitHub!

Pinned Loading

  1. federated-recommendation Public

    A federated learning-based recommendation system where a central model trains and updates based on aggregated user data without compromising privacy. Users receive personalized recommendations loca…

    JavaScript

  2. lt-fine-tuned-semantic-search Public

    L&T Internship: Gemini based fine tuning model, for standardising codes for engineering activities based on a semantic search.

    Jupyter Notebook

  3. resume-reader-repo Public

    An automated resume evaluation tool designed to analyze and score resumes based on custom metrics, matching resumes against specific job descriptions. It uses NLP to provide targeted suggestions fo…

    Jupyter Notebook 1

  4. phishing-classifier-models Public

    Repository for Research paper titled "AdaptPhishSysNet" for phishing detection on blockchain websites using ResNets and Incremental Learning.[ISBM Bangkok 2024 Conference]

    Jupyter Notebook

  5. sentiment-analysis-deploy Public

    Deployment of the Model - Benchmarking DeBERTa, DistilBERT, and RoBERTa for Sentiment Analysis --Vite

    JavaScript

  6. FinalTask_Automation Public

    ROS Noetic, Gazebo, Rviz Simulation for a 2 wheel differential drive for a designed URDF ( Maze Solver ).

785 contributions in the last year

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Activity overview

Contributed to aravinthakshan/personal-portfolio, aravinthakshan/pdc, aravinthakshan/gesture-recog and 34 other repositories
Loading A graph representing aravinthakshan's contributions from April 07, 2024 to April 13, 2025. The contributions are 100% commits, 0% issues, 0% pull requests, 0% code review.   Code review   Issues   Pull requests 100% Commits

Contribution activity

April 2025

2 contributions in private repositories Apr 1 – Apr 9
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