Experience

Data Science Engineer I

July 2025 – Present

• • Built a production chatbot using OpenAI APIs to query and edit automatically generated technical reports, including file upload and semantic search.
• • Extended and maintained a Python backend by adding new API routes and improving frontend–backend integration.
• • Designed and managed a CI/CD pipeline with GitHub Actions to deploy development and production branches to AWS EC2.
• • Integrated image-based analysis into reports and improved system reliability via pytest-based testing and merge protection.
• • Worked with AWS S3 and EC2 for large dataset updates, data merging, and operational workflows.

Data Science Intern

Feb 2025 – June 2025

• • Refactored and modularized a large Python codebase for automated technical report generation.
• • Integrated document retrieval pipelines using FAISS, LangChain, and OpenAI APIs.
• • Expanded analysis to include research papers alongside patent documents.
• • Performed prompt engineering and system tuning to improve output quality and consistency.

• • Delivered robotics projects involving ROS1/ROS2, sensor integration, Python/C++ node development, RViz visualization, and Autoware configuration.
• • Assisted with deployment of YOLO-based computer vision models on NVIDIA Jetson Xavier.
• • Developed applied ML and signal-processing solutions, including LSTM-based time-series forecasting.
• • Designed embedded and control systems, including a PIC18-based washing machine controller and a MATLAB-based CO₂ estimation model using vehicle dynamics.

• • Prepared for autonomous vehicle research through structured self-study in robotics software, machine learning, and reinforcement learning.
• • Built strong algorithmic foundations through extensive Python problem-solving (700+ problems).
• • Gained hands-on experience with ROS 2, including node-based system design and inter-process communication.
• • Studied ML and RL concepts and reviewed research literature on autonomous vehicle perception, planning, and control.