PULAPARTHI TEJASWINI

About

Aspiring AI/ML Engineer with hands-on experience in machine learning and deep learning through academic and internship projects. Passionate about building practical AI solutions and continuously learning new techniques.

Experience

• PCB Defect Detection and Classification
  Infosys Springboard
  Feb 2026 – Apr 2026
• Java Full Stack Development
  ByteXL
  Dec 2025 – Mar 2026

Education

• B.Tech in Computer Science and Engineering
  GMR Institute of Technology, Rajam
  Computer Science and Engineering · Nov 2022 – Apr 2026

Skills

• SQL
• C
• Computer Networks
• Deep Learning
• Python
• Machine Learning
• Java
• Matplotlib
• NumPy
• Pandas
• scikit-learn
• PyTorch
• TensorFlow
• Neural Networks
• Data Structures and Algorithms
• Probability and Statistics
• Oop
• Database Management Systems

Projects

• AI-Powered Chatbot for Historical Insights and Real-time Air Quality Predictions ↗
  Prophet, LSTM, LLM, CPCB Data

  Built a hybrid Prophet-LSTM model to forecast PM2.5, PM10, and Ozone levels and integrated an LLM-powered chatbot for natural-language interaction.

• Small Scale Grain Classification and Grading Using Deep Learning ↗
  Deep Learning, Image Preprocessing, Data Augmentation, Transfer Learning, EfficientNet-B2

  Developed a deep learning system for rice grain classification and quality assessment; achieved 98.2% accuracy with EfficientNet-B2 on a custom dataset.

Courses & certifications

• Data analytics using Python · Coursera · 2024

🏆 Achievements & awards

• Scholarship · 2008

  Selected and received AICTE Pragati Scholarship for academic excellence.

• Chess Competition · 2010

  Secured first place in Institute level Chess Competition on National Sports Day.

⚽ Extracurricular activities

• Competitive Coding

  Solved 270+ problems on LeetCode, 150+ on GeeksforGeeks, 200+ on CodeChef, and achieved 5-star ratings in Problem Solving and SQL on HackerRank.

📚 Publications

• AI-Powered Chatbot for Historical Insights and Real-time Air Quality Predictions · 2025