# Dhayapulay Aditya Varun

Email: adivd@csu.fullerton.edu  
LinkedIn: [Aditya Dhayapulay](https://www.linkedin.com/in/aditya-dhayapulay)  
GitHub: [adit24dhaya](https://github.com/adit24dhaya)

## Education

### California State University, Fullerton (CSUF)
**Master of Science in Computer Science**  
Aug 2024 - Present  
GPA: 3.78

Coursework: Advanced Algorithm, Software Requirements, Artificial Neural Networks, Language Processing, Android Application Development with Kotlin

### Jawaharlal Nehru Technological University, Hyderabad
**Bachelor of Technology in Computer Science and Engineering**  
Aug 2020 - Jul 2024  
GPA: 7.87

Coursework: Machine Learning, Data Mining, Data Analytics, Operating Systems, Database Management Systems, Data Structures and Algorithms, Object-Oriented Programming

## Experience

### California State University, Fullerton - Fullerton, CA
**Graduate Researcher (EG-RSCA Fellow)**  
Feb 2026 - Present

- Architected a Reinforcement Learning-enabled Smart Assembly Cell simulation for decentralized robotic manufacturing.
- Built a multi-agent system in NVIDIA Isaac Sim coordinating TurtleBot3 AGVs and a Franka Emika Panda manipulator.
- Implemented ROS 2 coordination policies and Bash-based orchestration for dynamic task scheduling and real-time material routing.
- Optimized system-level KPIs including on-time delivery, robot idle time, energy consumption, and production utilization.

### Research Centre Imarat (RCI), DRDO - Hyderabad, India
**Audio Anomaly Detection Intern**  
Oct 2023 - Feb 2024

- Conducted applied research on audio anomaly detection with TensorFlow autoencoders, improving detection accuracy by 40%.
- Collected, annotated, and processed environmental sound datasets (thunder, waterfalls, crowd noise) for training and evaluation.
- Documented experimental results, tracked model performance, and prepared weekly research updates.
- Leveraged CUDA-based GPU acceleration to reduce model training time by 40%.

## Projects

### Dog Breed Classification using Deep Learning
**Python, TensorFlow, OpenCV, Git**

- Developed a deep learning classifier using Inception-ResNet-V2 with 90%+ accuracy across 120+ dog breeds.
- Optimized training with TensorFlow-GPU acceleration, reducing total training time by 40%.
- Processed and cleaned 10,000+ images using OpenCV to improve generalization.

### Hot Dog or Not - Image Classification Web App
**Flask, Hugging Face API, HTML, CSS, JavaScript, Git**

- Built a web app for food image classification using Hugging Face's Food-101 model.
- Designed a responsive drag-and-drop UI with live preview and confidence scores.
- Implemented secure API key handling and robust error management for deployment.

### Cafe Finder Web App
**JavaScript, Google Maps & Places API, HTML, CSS, Git**

- Developed a cafe finder app with real-time geolocation and place discovery.
- Integrated dynamic card-based UI and map embedding to improve user navigation.
- Optimized location caching and responsiveness for better user experience.

### Sentiment-Based Stock Trading System
**Python, NewsAPI, yfinance, NLP (BERT), Git**

- Built an AI-driven trading simulation using BERT sentiment on news data.
- Integrated Yahoo Finance data streams for sentiment-based trade decisions.
- Developed a backtesting framework to benchmark strategies against historical performance.

## Skills

- **Programming Languages:** Python, C++, Java, JavaScript, SQL, HTML/CSS
- **Machine Learning & AI:** PyTorch, TensorFlow, Scikit-Learn, Keras, NumPy, pandas, Matplotlib, OpenCV, Hugging Face, LangChain, OpenAI API
- **Data Science & MLOps:** MLflow, Apache Spark, Power BI, Data Visualization, Model Deployment
- **Cloud & Distributed Systems:** AWS, Google Cloud, Docker, Kubernetes
- **Web & App Development:** Flask, React, Tailwind CSS, REST APIs, GitHub Actions (CI/CD), Firebase
- **Software & Tools:** Jira, Git, Bash, Jupyter Notebook, Google Colab, VS Code, MS Office
- **IT Tools:** Windows/Linux Administration, System Troubleshooting, Help Desk Support, Software Installation, Hardware Setup, Remote Desktop Tools
- **Soft Skills:** Academic Writing, Research Ethics, Collaboration, Problem-solving, Time Management, Communication, Critical Thinking