Georgia Tech Vertically Integrated Project: EcoCar EV Challenge

Project Manager - Project Managment Team

• Directed project and task management for 6 multi-functional teams, driving sustainable development of the Cadillac LYRIQ for AVTC (Advanced Vehicle Technology Competition).
  
• Developed Python scripts for administrative data processing of 50 team members, streamlining operations and improving efficiency.
  
• Delivered concise and data-driven progress reports to faculty advisors and competition officials, facilitating informed decision-making.
  
• Streamlined cross-team communication and collaboration, improving efficiency and alignment on complex vehicle engineering and technology integration tasks.
  
• Oversaw the development of project timelines and resource allocation, optimizing team performance and ensuring adherence to competition deadlines and goals.

Georgia Tech Vertically Integrated Project: Active Safety for Autonomous and Semiautonomous Vehicles

Undergraduate Researcher - Autorally Team

• Optimized the execution and visualization of 12 race simulation scripts in a Python-based robot planning environment, enhancing performance and accuracy.
  
• Configured multi-vehicle racing by enabling data exchange between vehicles under Model Predictive Path Integral (MPPI) control, ensuring synchronized vehicle interactions.
  
• Developed 3D models of vehicles and tracks using Unity Engine, and implemented simulations by integrating Unity with the Robot Operating System (ROS) for seamless visualization.
  
• Conducted an in-depth literature review of active safety systems for autonomous and semi-autonomous vehicles, identifying key trends and technologies.
  
• Collaborated with interdisciplinary teams of undergraduate and graduate students to design and develop innovative active safety systems for autonomous vehicles.

Georgia Tech Solar Racing

Optimization Sepcialist - Strategy & Simulation Team

• Engineered a Python simulation program that utilized 100+ real-time data points to accurately predict battery performance and overall car efficiency during competitive solar races.
  
• Enhanced the efficiency of the simulation program by optimizing 20+ source code and algorithms, significantly improving predictive capabilities and race preparation.
  
• Developed simulation models to test alternative race strategies, helping the team assess potential outcomes and select the most efficient race plans.
  
• Conducted detailed analyses of simulation outputs, providing actionable insights that contributed to continuous improvements in solar car performance.
  
• Collaborated with cross-functional teams, including electrical and mechanical engineers, to design and implement optimized strategies for maximizing solar car performance.

Eatscape - Personalized Restaurant Recommendation Application

Full Stack Developer

• Developed a robust restaurant recommendation app on React Native, achieving compatability on iOS and Android platforms, using JavaScript and TypeScript for dynamic and scalable solutions.
• Implemented data synchronization and user authentication using Firebase and Firestore, complemented by Node.js for scalable RESTful API management, handling restaurant profiles across 12 regions
• Structued a membership system incorporating payment, backend validation, and fraud prevention, resulting in a 25% increase in engagement with premium features and data-driven personalization.
• Designed a weighted recommendation algorithm with real-time location-based filtering, improving accuracy by 20%, and conducted iterative A/B testing to refine user experience 
• Led comprehensive documentation of technical architecture, Business Model Canvas, and ensured strategic alignment of features, while emphasizing framework scalability and agile practices.
  

Airline Management System Database Development Project: SAMS

• Designed and implemented 10+ relational database schemas based on Enhanced Entity-Relationship Diagrams (EERD), enabling seamless data integration and scalability.
  
• Engineered and optimized 15+ complex SQL queries, views, and stored procedures, reducing query execution time by over 30% through indexing and performance tuning.
  
• Implemented features for 6 core airline functionalities, including dynamic ticket booking, seat assignment verification, and route management, ensuring real-time system reliability.
  
• Simulated and tested 100+ real-world scenarios with a team of 4, verifying database reliability, scalability, and error handling for 50+ concurrent users.
  
• Delivered comprehensive documentation for database structure, usage, and performance benchmarks to ensure maintainability and ease of future upgrades.

Machine Learning Project:

Movie Revenue Prediction with Advanced Data Analytics and Machine Learning

• Developed a machine learning model in Python to predict box office revenues using 30 years of historical feature data, achieving an R² score of 70.90%.
  
• Evaluated over 10 different models using performance metrics and visualizations, optimizing the most accurate model for revenue prediction.
  
• Discovered that the RandomForestRegressor was the best-performing model, delivering the highest accuracy in revenue prediction based on key performance metrics.
  
• Performed feature engineering, including data transformation, selection, and creation of variables, to capture trends and enhance the model’s predictive power and accuracy.
  
• Conducted benchmarking to assess model performance against industry standards and ensure competitive predictive accuracy.

ANDROID Mobile Game Development PROJECT: Turtler!

• Developed an Android-based mobile game, Turtler!, collaborating with developers and designers to deliver a polished gaming experience for users.
  
• Led the development of 10+ backend algorithms and optimized game mechanics using Java, ensuring smooth gameplay and enhanced user engagement.
  
• Implemented comprehensive 12 Junit testing cases to identify and resolve bugs, ensuring the game’s stability and performance across different devices.
  
• Designed and implemented technical diagrams, including Sequence Diagrams and Design Class Diagrams, to guide development and clarify system architecture.
  
• Utilized Git for version control, following agile methodology and sprint cycles to ensure efficient and iterative progress throughout the project lifecycle.