Skip to content
View Padmini-Matam's full-sized avatar
  • Student | Intern-Deccan AI
  • Hyderabad

Block or report Padmini-Matam

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Padmini-Matam/README.md

Hi, I'm Padmini πŸ‘‹

πŸŽ“ B.E. student in Artificial Intelligence & Data Science (2026)
πŸ’Ό Operations Associate Intern at Deccan AI
πŸ” Interested in Software Engineering, Backend Development, and Applied Machine Learning


πŸ‘©β€πŸ’» About Me

I am a final-year engineering student with a strong foundation in computer science fundamentals and hands-on experience through industry internships, research work, and academic projects. I enjoy understanding how systems work end-to-end and applying my knowledge to solve real-world problems.

  • Strong fundamentals in Python, Data Structures, OOPS, and DBMS
  • Experience working with LLM evaluation workflows, data quality checks, and structured pipelines at Deccan AI
  • Research exposure at IIT Hyderabad, working on data analysis and predictive modeling using Python
  • Built academic and hackathon projects involving deep learning, data analysis, and web-based applications
  • Curious learner with an interest in writing clean, readable code and continuously improving my technical skills

πŸ› οΈ Technical Skills

  • Languages: Python, C, SQL
  • Core CS: Data Structures, OOPS, DBMS, Operating Systems, Computer Networks
  • Tools: Git, GitHub, Jupyter Notebook, VS Code
  • Areas of Interest: Software Engineering, Backend Development, Machine Learning

πŸ“‚ Projects

  • Metastatic Cancer Detection using Deep Learning – Built a CNN-based image classification model using PyTorch and transfer learning (ResNet34)
  • QA Bot – Developed a document-based question answering system using Python and LLMs
  • Next Step – Web-based career guidance platform developed as part of a hackathon

πŸ“ Location

Hyderabad, India

Popular repositories Loading

  1. OIBSIP OIBSIP Public

    Jupyter Notebook

  2. snakegame snakegame Public

    Snake game with Hooks

    JavaScript

  3. Metastatic-Cancer-Detection Metastatic-Cancer-Detection Public

    A PyTorch-based deep learning project using transfer learning (ResNet34) to classify metastatic cancer images from histopathology data.

    Jupyter Notebook

  4. Next-Step- Next-Step- Public

    Web-based career guidance platform using Front-end to suggest career paths based on user interests and skills.

    HTML

  5. Padmini-Matam Padmini-Matam Public