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📍 Vijayawada, Andhra Pradesh, India • 📞 +91 9030992019

Computer Science graduate with strong foundations in data structures, algorithms, object-oriented programming, and distributed systems. Experienced in designing and developing scalable software solutions using Python and Java, with exposure to machine learning systems and enterprise-grade databases.

I am currently working as an Associate Engineer at CSS Global SaaS & Apps, Oracle India Private Limited, where I support enterprise-scale Oracle database environments, automate workflows, and contribute to reliable, high-availability systems.

I am seeking an opportunity as a Software Development Engineer to build high-quality, scalable, and customer-focused systems.

Computer Science graduate with strong foundations in data structures, algorithms, object-oriented programming, and distributed systems. Experienced in designing and developing scalable software solutions using Python and Java, with exposure to machine learning systems and enterprise-grade databases. Seeking an opportunity as a Software Development Engineer to build high-quality, scalable, and customer-focused systems.

• B.Tech in Computer Science and Information Technology, KL University (2021 - 2025)
  CGPA: 9.48 / 10.0
  Specialization: Artificial Intelligence and Intelligent Process Automation (AI&IPA)

• BBA Dual Degree (Online), KL University (2022 - 2025)
  CGPA: 9.05 / 10.0
  Specialization: Finance

• 12th Standard, BIEAP - Sri Chaitanya Jr. College, Vijayawada (2019 - 2021)
  Percentage: 85

• 10th Standard, BSEAP - St. John’s English Medium School, Vijayawada (2018 - 2019)
  CGPA: 9.7 / 10.0

• Python
• Java
• C
• SQL

• Data Structures
• Algorithms
• Object-Oriented Programming
• Complexity Analysis

• Flask
• Django
• REST APIs

• Oracle
• MySQL
• PostgreSQL

• Database performance tuning
• Multi-environment deployment

• TensorFlow
• Scikit-Learn
• CNN
• ResNet
• BERT
• NLP

• Git
• GitHub
• Docker
• VS Code
• PyCharm

• Communication
• Leadership
• Time Management
• Problem Solving
• Teamwork
• Adaptability

Sep 2025 - Present

• Managed enterprise-scale Oracle databases across production and non-production environments
• Performed backup and recovery using RMAN, patching, performance tuning, and storage optimization
• Automated operational workflows using Python and Shell scripting, improving efficiency and reducing manual intervention
• Collaborated with application and infrastructure teams to diagnose and resolve system-level and connectivity issues
• Supported high-availability systems requiring reliability and fault tolerance

Dec 2025 - Present

• Developed a scalable email automation system for intent classification and AI-generated responses
• Implemented BERT for classification and spaCy for entity recognition
• Integrated Gemini API for intelligent response generation with administrative review controls
• Designed modular backend services and containerized the system using Docker

Oct 2025 - Present

• Designed and developed an NLP-driven chatbot application for text classification and contextual analysis
• Implemented a BERT-based classification model achieving 92% accuracy
• Integrated Gemini LLM to enhance contextual reasoning and response generation capabilities
• Built RESTful backend services using Flask and deployed the application in a containerized environment

Nov 2023 - May 2025

• Integrated solution combining Lung Cancer Detection, COVID-19 Chest X-Ray Analysis, and Heart & Breast Cancer Prediction using machine learning and deep neural network models
• Designed and implemented multiple machine learning and deep learning models for medical image and ECG analysis
• Developed CNN-based architectures including VGG and ResNet, along with traditional ML models such as SVM, XGBoost, and Logistic Regression
• Achieved up to 95.8% accuracy in heart disease prediction and 95.1% accuracy in lung cancer detection
• Performed data preprocessing, feature engineering, cross-validation, and performance evaluation
• Led a team of four members in system design, model optimization, and evaluation
• Structured modular and reusable code following object-oriented design principles

Team Lead | Jul 2023 - Dec 2023

• Led the design and development of a full-stack web application with RESTful APIs and relational database integration
• Applied object-oriented design principles and modular architecture to ensure maintainability and scalability
• Designed backend services and optimized SQL queries to improve system performance and response time
• Collaborated with team members in an agile development environment to deliver high-quality features within defined timelines

Backend Developer | Dec 2022 - May 2023

• Developed backend infrastructure for a property management system using Python and Django
• Designed and maintained relational database schemas using SQLite and PostgreSQL
• Implemented authentication mechanisms and security protocols to ensure data integrity and controlled access
• Improved database performance through structured query optimization and indexing strategies

• AICTE — AI-ML Virtual Internship (May 2023 - Jul 2023)
• Quantum Learnings — AI & ML with Data Science (Feb 2023 - Apr 2023)
• Skolar — ML Virtual Internship (Jan 2023 - Apr 2023)

• JPMC Code for Good Hackathon 2023 — Participant
• Presented a manuscript at the 6th ICMPET-2024 Conference

• TensorFlow Developer Certification
• Microsoft Azure Fundamentals (AZ-900)
• Microsoft AI-900
• Oracle Cloud Infrastructure Architect Associate

• President, EFIT - CSIT Student Body, KL University
• Sergeant at Arms, Rotaract Club of KL University
• Worked as Chief and Core Member for college and departmental fests