Education
Bachelor of Science in Computer Science, California State University Long Beach
Anticipated Graduation: June 2027
  • •President Honor List (2022 - 2023), Dean List (2024-2025), Computer Science Honor Student, Leadership Student Organization Recognition Award
  • • Relevant Coursework: Data Structure & Algorithm, Object Oriented Programming, Software Engineering, Machine Learning, Deep Learning
    • Technical Skills

    Languages: Python(3 years), JavaScript (1 year), SQL( 2 years), TypeScript, C++, Java, R, C#, Haskell, Go

    Databases: MySQL, PostgreSQL, MongoDB, NoSQL, DuckDB, Neo4j, Redis, Vector Databases (Pinecone, Weaviate, FAISS)

    AI & Tools: PyTorch, TensorFlow, Scikit-learn, Keras, MLFlow, Hugging Face Transformers, OpenCV, Langchain, LangGraph, LLMs, RAG Systems

    Frameworks: React, React Native, Node.js, Express.js, Next.js, Flask, FastAPI, Django, Dagster, CI/CD, Docker, Kubernetes, Git, GitLab, Numpy, Pandas, Matplotlib, Seaborn, Tableau, AWS Cloud (ECS, EC2, S3, RDS, ECR, IAM, SSM, CloudWatch), Azure, Google Cloud

    Professional Experience
    06/2025 – present | United States
  • •Developed a custom website front-end using Next.js, React, and TypeScript, enhancing user experience with a dynamic interface and resulting in a 20% increase in user engagement metrics.
  • •Developed a scalable Node.js application using server-side rendering (SSR) to manage high-traffic sessions, resulting in improved performance and data accuracy for over 10000 concurrent users
    • Machine Learning Researcher, CSULB College of Engineering
    08/2024 – Present | Long Beach, United States
  • •Implemented AI applications in radiology, leveraging SOTA deep learning techniques to automate imaging analysis and LLM-driven report generation, reducing manual review time by 50 %.
  • •Developed a CNN-based computer vision model for foot X-ray analysis, improving diagnostic accuracy by 80%, training on a 12 GB dataset with 12.000 medical images and fine-tuning state-of-the-art deep learning architectures.
    • 07/2025 – 12/2025 | United States
  • •Led cross-functional team of 50+ software engineering fellows through IT automation and project management curriculum, achieving 95% program completion rate by implementing structured mentorship frameworks and weekly progress tracking systems
  • •Delivered 12+ automation projects spanning infrastructure deployment, CI/CD pipeline optimization, and workflow automation, resulting in 40% reduction in manual processes across fellow teams by establishing best practices and code review protocols
    • Research Intern, ThinkNeuro
    05/2025 – 08/2025 | Sacramento, California
  • •Implemented R programming and bibliometric analysis methodologies to analyze large-scale neuroscience datasets, increasing data processing efficiency by 90%.
  • •Leading +10 research fellows to research technologies for Brain-Computer Interfaces (BCIs) and neuroprosthetics
    • Projects
  • •Built a Python-based assistive technology, enabling voice-controlled navigation for users with disabilities, reducing reliance on traditional input devices by 90% through PyAutoGUI and Flask.
  • •Developed RESTful API endpoints for screen analysis, cursor control, and text input, improving system automation speed by 50%.
  • •Implemented a real-time wait time prediction system for the University of California, Santa Barbara dining halls using YOLOv3 object detection, analyzing live camera feeds to count queue lengths with 92% accuracy, reducing student wait time by an average of 15 minutes per meal.
  • •Implemented a comprehensive RESTful API architecture using Flask that processes 1,000+ daily requests, enabling seamless communication between the frontend mobile application and PostgreSQL database with 98% uptime.
  • •Fixed Dagster open-source bug (7.5K stars) affecting 1,000+ users by implementing field validation logic to resolve TypeError in Component configuration system
  • •Added comprehensive test coverage with 2 regression tests covering edge cases for dict and list factory functions
    • LEADERSHIP EXPERIENCE & ACHIEVEMENT
    CSULB Association for Computing Machinery, Vice President
    06/2024 – 08/2025
  • •Increased ACM membership by 50%, impacting 2,300+ CSULB engineering students by developing and leading 12+ professional workshops on Web Development and AI
    • 10/2024 – 03/2025
  • •Secured partnerships with 8+ tech companies for Hackathon, including Google and DAIN AI, to provide sponsorship worth $11,000 for hackathon events for over 300 hackers in Southern California