OC

OJASWINI CHAITANYA

B.Tech CSE student · AI/ML and NLP Intern

Hyderabad, Telangana, India

@ojaswini_chaitanya

0 followers

🎓 B.Tech in Computer Science and Engineering at Malla Reddy College of Engineering and Technology · Graduating 2027

About

B.Tech Computer Science and Engineering student with hands-on experience in AI/ML, NLP, and backend development. Built projects and internship work around data preprocessing, retrieval-augmented generation, and monitoring dashboards using Python and modern AI tools.

Experience

  • Virtual Internship — AI & Cloud
    IBM SkillsBuild
    Jul 2025 – Aug 2025

    Developed a multi-class power system fault classification model using IBM Watson Studio AutoAI, working on data preprocessing and feature selection. Evaluated multiple models generated by AutoAI, compared performance metrics, and selected the best-performing model based on validation results.

  • AI & NLP Intern
    Swecha & IIIT Hyderabad
    May 2025 – Jul 2025

    Curated and prepared multiple Telugu language datasets for NLP experimentation, ensuring quality through automated cleaning, validation, and formatting using Python. Contributed to the development of RAG-based workflows using Hugging Face models by integrating curated datasets into retrieval and response generation pipelines.

Education

  • B.Tech
    Computer Science and Engineering (CSE) · 2023 – 2027
  • Intermediate (MPC)
    Sri Chaitanya College
    Science · 2021 – 2023
  • SSC
    Unique High School
    2020 – 2021

Skills

3 to 6 months 3 to 6 months A few months of practice with it.
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.

Tools / apps / platforms

3 to 6 months 3 to 6 months A few months of practice with it.
Hugging Face
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Linux MySQL GitHub

Projects

  • Automated Disease Prediction System
    Support Vector Machine

    Developed an automated disease prediction system to detect the likelihood of Diabetes, Heart Disease, and Parkinson's Disease from user-provided health parameters using Support Vector Machine (SVM) models.

  • Docmate — Document Question Answering System
    Retrieval-Augmented Generation, semantic chunking, embedding-based retrieval

    Developed a document question-answering system using Retrieval-Augmented Generation (RAG) for natural language querying of multi-page PDF documents.

  • NetPulse — Network Monitoring & Alerting Dashboard

    Developed a real-time network monitoring dashboard to track uptime, latency, and availability of servers and web endpoints through automated health checks. Implemented live status dashboards with historical logging, response time graphs, and instant alerts.

Courses & certifications

  • Claude 101 · Anthropic · 2026
  • Data Visualization · TATA (Forage) · 2025
  • Python Programming · GeeksforGeeks · 2025
  • Introduction to Data Science · Cisco · 2024

Explore the Broxer community

🤖
Online · instant AI help
Broxer