Vamshi Maya

📞 737-864-5630 📧 vamshi.maya005@gmail.com
🔗 linkedin.com/in/vamshimaya 💻 github.com/vamshim005

Education

University of Texas at Dallas, Dallas, TX
Master of Science in Information Technology and Management, GPA 3.6/4
Aug 2023 – Dec 2024

MLR Institute of Technology, Hyderabad, India
Bachelor of Technology in Electrical and Electronics Engineering, GPA 9.0/10
Aug 2019 – May 2023

Experience

Python Developer Intern – UnicGate, Dallas, TX
Nov 2024 – Mar 2025

  • Designed and deployed an NLP-driven chatbot using Google DialogFlow, reducing manual query handling by 30% and achieving 75% automation
  • Integrated RESTful services with Google Sheets for real-time data ingestion, automating lead capture and streamlining workflows by 20%
  • Built and optimized deep learning models using PyTorch, targeting edge deployment with quantization techniques
  • Developed scalable AI systems in Python using object-oriented design, modular architecture, and MLOps best practices
  • Enhanced web platform functionality using WordPress with intuitive UX tailored for universities and startups

Software Engineering Intern – DXC Technologies, Hyderabad, India
Oct 2022 – May 2023

  • Developed the ‘Melange’ Android app using Java and Firebase to manage event schedules, hotel allocations, and reminders
  • Migrated SOAP to REST APIs with Spring, improving throughput by 25% and latency by 18%
  • Improved UI responsiveness and UX using HTML, JavaScript, and jQuery for client-facing features
  • Automated reporting in Tableau by translating business requirements, saving 13+ hours of manual effort weekly
  • Enhanced performance with multithreading, implemented unit testing using Jest, and streamlined DB access with Spring Data JPA and JDBC

Projects

Large-scale Geo-Spatial Data Analysis | Python, Apache Spark, Scala, AWS
Jan 2024 – May 2024

  • Performed hot zone and hot cell analysis on large-scale spatial data using Spark to rank the top 30 hot zones
  • Performed spatial queries on a large database containing geographic and real-time location data
  • Helped a New York taxi firm with operational and strategic decisions
  • Analyzed NYC Yellow cab dataset and identified high pick-up probability areas, increasing pick-up rate by 40%

Sentiment Analysis using ELMo and BERT | Python, TensorFlow, NLP, SVM, Git
Aug 2024 – Oct 2024

  • Collected and preprocessed 9873 film reviews for sentiment classification (positive/negative/neutral)
  • Extracted embeddings using pre-trained ELMo and BERT models for normalized text data
  • Applied classification models like SVM and achieved an evaluation score of 89%

Technical Skills

Languages: Python, C/C++, Java, Kotlin, SQL, JavaScript, HTML/CSS
Frameworks & Libraries: React, Node.js, Spring Boot, Pandas, Numpy, PyTorch, TensorFlow
Tools: Git, Docker, Flask, MySQL, AWS
Certifications: AWS Cloud Practitioner – EC2, ECS, EKS, ECR, S3, RDS, SQS, VPC, Subnets, Security Groups
Achievements: Competitive Programming – Codeforces rating 1700, LeetCode rating 1800+, solved 1500+ problems