Hi, my name is

Mathang Peddi.

Turning Complex Problems into Elegant Code.

Software Developer specializing in building scalable applications and leveraging ML, AI frameworks to drive transformative solutions.

About Me

Hello! My name is Mathang and I am currently pursuing my Master of Science in Computer Science and working as a Graduate Research Assistant at Georgia State University, I have cultivated a robust skill set in Full Stack Development, Algorithms, Artificial Intelligence, and Machine Learning.

I am a Proficient Software Engineer with 2.5 years of hands-on experience, and I specialize in building scalable applications using React, Next JS, Node JS, MongoDB, and Microservices. Additionally, my expertise in Software Engineering, Data Science, and Cloud Computing makes me confident in my ability to contribute significantly to the team.

In my previous role at Citrix Systems, I played a pivotal role in developing the new user interface for Citrix Workspace(WSUI), enhanced the Activity Manager. Implemented an advanced feature for automating the launching and shutting down of desktops, which introduced a scheduling feature that allowed users to specify times for disconnecting and restarting desktop applications. This solution improved system availability and delivered significant cost savings.

Here are a few technologies I’ve been working with recently:

  • JavaScript
  • React
  • SQL
  • Python
  • Data Science
  • Machine Learning
  • Natural Language Processing (NLP)
  • LLMs
Headshot

Where I’ve Worked

Research Assistant/Data Scientist @ EBCS

Jan 2024 - Present

  • Leveraged Machine Learning and Data Mining to build an LLM that identifies patterns in the data, enhancing data analysis capabilities
  • Utilized regression analysis with hyperparameter tuning to detect suspicious chats and transactions, achieving a predictive accuracy of 86%
  • Integrated the OpenAI API to perform automated content moderation, significantly reducing manual efforts by 60%
  • Successfully detected inappropriate or spam messages within Telegram channels, maintaining content quality standards.
PythonWeb ScrapingData PreprocessingData VisualizationLLMs

Some Things I’ve Built

  • Featured Project

    Laptop Prices Predictor

    An end-to-end data science project that accurately predicts laptop prices using machine learning algorithms. The project involves data collection through web scraping, feature engineering, model training, and deployment of the predictive model.

    • Python
    • Web Scraping
    • Data Preprocessing
    • Data Visualization
    • Machine Learning
    • Model Deployment
    • Hyperparameter Tuning
    GitHubExternal Link

  • Featured Project

    Sorting Algorithms Visualizer

    Designed a website to simulate the step-by-step working of common algorithms, including Searching, Sorting, and Machine Learning techniques such as K-Nearest Neighbors, Clustering, Merge Sort, Quick Sort algorithms etc.

    • React
    • Next JS
    • D3 JS
    • Django
    • Algorithms
    • Data Structures
    GitHubExternal Link

  • Featured Project

    Neighbourhood Segmentation and Clustering

    This is a project that segments neighborhoods based on venue data. It involves data collection through Foursquare’s API, feature extraction, and clustering to identify distinct neighborhood segments. The project provides valuable insights into neighborhood characteristics.

    • Python
    • K Means Clustering
    • Machine Learning
    • Foursquare API
    GitHubExternal Link

Other Noteworthy Projects

view the archive
  • Folder
    External Link

    Multi-topic Information Retrieval Chatbot

    Developed an AI Chatbot using Hugging Face LLM Models and deployed it on AWS, enhancing user interactions with advanced NLP capabilities while ensuring scalability and reliability through cloud infrastructure

    • LLM
    • AWS Lambda
    • AWS Bedrock
    • AWS Sagemaker
    • Chatbot
  • Folder
    External Link

    Smart Utility Management System

    Built a household utility management system that simplifies service booking for community members, increasing user satisfaction, facilitating seamless arrangements for electricians, plumbers, and other essential service

    • Next JS
    • D3 JS
    • Node JS
    • Tailwind CSS
    • MongoDB
  • Folder
    External Link

    Job Salaries Predictor

    This is a comprehensive data science project that predicts job salaries using data from Glassdoor. It aims to help job seekers and employers gain valuable insights into salary trends and make informed decisions.

    • Python
    • Data Preprocessing
    • Data Visualization
    • Data Science
    • Machine Learning

What’s Next?

Get In Touch

Although I’m not currently looking for any new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!