About Me

Hi, I’m Sai Sindhu Muppaneni. I’m a software developer with a background in backend development and machine learning. I completed my master’s in computer science at Portland State University, where I became passionate about building technology that solves real-world problems. Before that, I did my bachelor’s in Electronics and Communication Engineering from JNTU Kakinada in India. Currently, I'm actively seeking full-time roles, I’m working as an AI/ML Engineer at Owting. I’ve been working on AI-powered features—improving machine learning models and integrating predictive analytics into the mobile app. On the side, I’m also building a freelance marketplace app with some friends. I’ve been handling most of the backend, including login authentication, phone verification, and user profiles. It’s been a fun challenge. I enjoy working both independently and with teams, solving problems, and constantly learning.

Skills

Experience

Education

  • Programming Languages
    • Python, SQL, C, JavaScript, HTML, CSS,JAVA, Matlab
  • Databases
    • PostgreSQL, MySQL, MongoDB, Relational database
  • Libraries
    • Bootstrap, React, Node.js, Python (NumPy, Pandas, Matplotlib)
  • Tools
    • Git, Word, Excel, and PowerPoint,Jupyter Notebooks, Google Colab
  • Cloud
    • AWS, GCP
  • 2025 - present
    AI/ML Engineer at Owting
  • • Developing AI-driven features to enhance user engagement and personalized recommendations.
  • • Building and optimizing machine learning models for behavior analysis and content moderation.
  • • Integrating Gemini models via Vertex AI to support NLP-based intent recognition and activity classification.
  • • Leveraging GCP services and Colab notebooks for scalable model development, training, and deployment.
  • • Designing structured metadata (JSON) pipelines for robust data exchange and system interoperability.
  • • Collaborating with backend teams to embed AI functionality into the mobile ecosystem.
  • • Continuously exploring advancements in AI to drive innovation in product features.
  • Skills: Python, TensorFlow, PyTorch, Vertex AI, Gemini, GCP, Colab, NLP, Recommendation Systems, Predictive Modeling, Cloud AI Solutions, JSON-based Metadata
  • 2022-2024
    Masters in Computer Science - Portland State Uiversity
  • coursework
    • Machine learning, Voice Assistants, Networking, AI, Software Engineering, Data Engineering, Data Structures, Algorithms, Operating Systems, Database Systems, NLP, CV and Deep Learning
  • 2020
    Bacherols in Electronics and Communication Engineering - JNTU, Kakinada.

My Projects

Internet Relay Chat

Developed an Internet Relay Chat system for real-time messaging. Supports multiple users and channels with an intuitive interface.

ML Tuberculosis Detection

Built a machine learning model using KNN and Gradient Boosting to detect tuberculosis with high accuracy, leveraging medical image preprocessing techniques.

Fraud Detection System

Implemented a fraud detection system using machine learning models to identify suspicious transactions and prevent fraudulent activities.

Voice Application

Developed a voice application using Dialogflow to provide real-time planetary data through API integration.

Healthcare Mobile Application

Designed a healthcare mobile application to provide medical assistance and remote consultations, ensuring better patient management.

CS-486-586 Databases Project

Developed a database project utilizing PostgreSQL for efficient data management and querying, focusing on relational database concepts.

Fullstack Project

Built a music streaming website similar to Spotify, allowing users to play and manage audio songs online with an intuitive UI.

Contact Me

saisin2@pdx.edu

Download Resume

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