👩🏻‍💻 I am a Graduate Research Assistant at University of Wyoming, with experience designing and delivering AI-powered applications that combine machine learning, computer vision (YOLOv8, Roboflow), and cloud-native solutions (Azure, AWS, Git, DevOps). I specialize in turning complex data into actionable insights, optimizing processes, and building scalable, user-focused systems that bridge technical innovation with business impact. Previously, I also trained international students as a Section Leader at Stanford Code In Place, strengthening my ability to communicate complex concepts and mentor effectively.

Highlights

In the year 2024, I was selected as as a Section Leader at Stanford’s Code in Place
I secured a 7.5 band score overall in my IELTS English Proficiency Exam.
I was featured across university media pages as the sole student selected as a Section Leader for Code In Place 2024.
I have participated in multiple AI International Hackathons, particularly:

Falcon AI71 Hackathon 2024, where I developed a real-time mental health coach application in collaboration with an international team utilizing AI71 Hub Model to support multiple personalities.
Llama 3 Hackathon, where I collaborated to build an AI news analyzer with two agents, News Editor and News Analyst, to identify and improve content readability.

Here are a few technologies I’ve been working with recently:
C/C++ || Python
Yolov8 || Roboflow
SQL || Git
Docker || Microsoft Azure
Azure DevOps || Amazon Web Services
OpenAI Whisper || Jupyter Notebooks
Google Colab || Cursor

📘 Relevant Coursework

Software Engineering & Agile Practices

• Gained practical understanding of Agile frameworks and traditional models (Waterfall, Spiral, Prototype).
• Practiced requirement engineering: elicitation, specification, validation, and defining NFR/FR.
• Applied project planning tools (Azure) for scope, configuration, and time management.
• Delivered functional specifications & prototypes through case studies and assignments.
• Learned software architecture design (Layered, MVC, Client/Server, Repository, SOA) and quality metrics.
• Practiced quality assurance & testing methodologies (black-box and white-box).

Fundamentals of Management

• Studied core management principles: planning, organizing, leading, and controlling.
• Applied efficiency vs effectiveness frameworks in organizational performance.
• Learned to balance people management and process management.

Software Analysis & Design (UML & OOP Modeling)

• Acquired ability to represent systems using UML diagrams (use case, class, sequence).
• Conducted domain and requirements analysis for software projects.
• Learned to translate business needs into technical specifications and program visualization.