Gnaneswar Repalle

About

I am a Computer Science Engineering undergraduate passionate about Artificial Intelligence, Machine Learning, Software Development, Data Analytics, and building practical technology solutions. My technical foundation includes Python, Java, SQL, Machine Learning, Deep Learning, TensorFlow, PyTorch, Scikit-learn, HTML, CSS, JavaScript, PHP, MySQL, Bootstrap, REST APIs, and cloud technologies. I am also strengthening my skills in Data Structures and Algorithms, Object-Oriented Programming, Operating Systems, Database Management Systems, Computer Networks, Software Engineering, and other core Computer Science subjects. I have hands-on experience developing full-stack applications and AI/ML solutions. One of my projects is a multilingual Language Learning Application supporting Kannada, Telugu, Hindi, and English. The platform provides video-based lessons, structured learning modules, quizzes, proficiency assessments, age-based personalized learning paths, practice activities, and progress tracking. I integrated an AI assistant using the OpenAI API to help learners resolve doubts, along with escalation to certified human mentors when required. The application also includes email OTP authentication, RESTful third-party API integration for Razorpay payments, automated email communication using PHPMailer, premium content unlocking, receipt generation, and certificate issuance. My research experience includes Artificial Intelligence, Natural Language Processing, Speech Processing, Explainable AI, and Machine Learning. I worked on an explainable framework for automated speech fluency evaluation for viva assessment using acoustic features such as MFCC, LPC, and DCT. The system involved audio preprocessing, feature engineering, normalization, dimensionality reduction, stratified sampling, SMOTE, and comparison of multiple machine learning classifiers including Random Forest, SVM, KNN, Logistic Regression, and Stacking Ensemble. The work achieved 94.2% accuracy and a 0.94 F1-score, with SHAP and LIME used to improve model interpretability. I have also worked on InsightGrader, an intelligent essay and answer evaluation system using transformer-based NLP models including BERT, RoBERTa, DeBERTa, Longformer, XLM-RoBERTa, and Flan-T5. The project combines automated scoring with token-level error detection through a multi-task learning framework and includes NLP preprocessing, linguistic feature extraction, BIO tokenization, and hyperparameter optimization using Optuna. Beyond individual projects, I am interested in the complete software and machine learning lifecycle-from understanding a problem and preparing data to designing solutions, developing models or applications, integrating APIs and databases, testing, evaluating results, and documenting the system. I am currently focused on becoming industry-ready for roles in AI/ML Engineering, Software Development, Data Science, Data Analytics, and related technology domains. I am continuously improving my coding, problem-solving, DSA, CS fundamentals, system development, and modern AI skills while exploring technologies such as Large Language Models, LangChain, LangGraph, and AI APIs. I enjoy learning new technologies, working on challenging problems, developing real-world applications, and applying Computer Science concepts to create useful and scalable solutions. I am open to opportunities where I can contribute, learn from experienced teams, and grow as a technology professional.

Education

• B.Tech
  Amrita Vishwa Vidyapeetham, Bengaluru
  Computer Science and Engineering · Aug 2023 – May 2027
• Class XII
  Narayana Junior College, Vijayawada
  MPC · Jun 2022 – May 2023
• Class X
  Narayana (EM) High School, Avanigadda
  MPC · Jun 2020 – Jun 2021

Skills

• CSS
• HTML
• Bootstrap
• Python
• Machine Learning
• Java
• JavaScript
• Matplotlib
• NumPy
• Pandas
• scikit-learn
• PyTorch
• TensorFlow
• Operating Systems
• PHP
• LangChain
• OpenAI API
• Scrum
• Technical Documentation
• Unit Testing
• Full-stack Development
• Integration Testing
• Data Structures and Algorithms
• Apache
• Oop

Projects

• Language Learning Application
  HTML, CSS, JavaScript, PHP, MySQL, Bootstrap, Razorpay, PHPMailer, OpenAI API

  Developed a multilingual language learning platform with video-based lessons, quizzes, proficiency assessments, age-based learning paths, progress tracking, AI-assisted doubt resolution, email OTP authentication, online payments, receipt generation, and certificate issuance.

• MyAmrita++ - Enhanced Academic & Student Services Portal
  PHP, MySQL, HTML, CSS, JavaScript, Bootstrap, XAMPP, Apache

  Developed a full-stack College ERP and Campus Management System with dedicated portals for students, teachers, admins, wardens, and chief wardens. Implemented role-based authentication, attendance management, SGPA/CGPA calculation, assignment management, leave and gate pass workflows, hostel biometric monitoring, timetable scheduling, exam seating, fee notifications, CRUD operations, approval workflows, file uploads/downloads, and dashboards.

Courses & certifications

• Introduction to JIRA · Simplilearn · 2026
• Agile Scrum Master · Simplilearn · 2026
• AWS Certified Cloud Practitioner · Amazon Web Services · 2026

⚽ Extracurricular activities

• Active Contributor, National Service and Development Cell (NSDC), Amrita Vishwa Vidyapeetham Bengaluru

  Participated in training programs and gained skills on technologies related to AI and ML.

• Active Contributor, Google Developer Student Clubs (GDSC), Amrita Vishwa Vidyapeetham Bengaluru

  Participated in technical workshops and peer-learning sessions.

• Participant, IBM SkillsBuild Workshops

  Participated in workshops on AI Agents with LangGraph & watsonx and Cloud Native Software.

📚 Publications

• An Explainable Framework for Automated Speech Fluency Evaluation Using Spectral Features with Statistical Classifiers · 2026
• InsightGrader: Intelligent Essay and Answer Evaluation with Misconception Tracking and Cognitive Load Insights - A Comparative Analysis · 2026

🎯 Hobbies & interests

• Cricket
• Kabaddi