Experience

Research Assistant
August 2024 - Present
  • Designing a Soybean Machine Learning Dashboard using Streamlit and Folium, enabling interactive data visualization and supporting decision-making in agricultural research and production.
  • Graduate Student Researcher
    May 2024 - Present
  • Conducting a comparative analysis of Neural Radiance Fields (NeRF) and Gaussian Splatting for 2D-to-3D image reconstruction, focused on generating photorealistic 3D scenes for virtual and augmented reality.
  • Developing generative AI models for anomaly detection in Blueberry crops, leveraging machine learning to enhance agricultural productivity and quality control.
  • Senior Systems Engineer
    November 2020 - May 2023
  • Served as a Full Stack Developer, utilizing SQL for database operations and optimization within delivering high-performance web applications using Java and Spring Boot for robust back-end development, contributing to a 30% reduction in server response time. Leveraged Angular and Node.js to build dynamic front-end experiences.
  • Created new & optimized existing CRUD REST APIs, added a security layer and implemented multithreading to improve performance of existing microservices by 23%. Deployed microservices on AWS, conducting comprehensive API unit testing with Postman across diverse input scenarios.
  • Implemented AGILE methodology for software practices on AWS cloud, collaborating with cross-functional teams to deploy services to production bi-weekly, resulting in a 10% acceleration in development and delivery for a prominent US telecommunications client.
  • Enhanced UI with Adobe Experience Manager, improving readability by 25% and boosting accessibility by 40%. Utilized Swagger to document and streamline microservices development, accelerating API integration by over 2x.
  • Skills

  • Programming Languages: Python, C++, R, Ruby, Java, Typescript, MATLAB
  • Frameworks: TensorFlow, PyTorch, Keras, SpringBoot, Angular, ReactJS, Rails, NodeJS
  • Libraries: Numpy, Pandas, Scipy, Matplotlib, Seaborn, OpenCV, NLTK
  • Databases: MySQL, MongoDB, PostgreSQL
  • Tools and OS: Linux, GIT, Postman, JIRA, Tableau, MATLAB, Spring Tool Suite, Docker, Adobe Experience Manager
  • Certifications: Microsoft Azure Cloud Fundamentals AZ-900, Google Cloud Big Data and Machine Learning Fundamentals, Machine Learning and Generative AI with Python (Udemy)