Computer Engineering @ Indiana University
Accelerated M.S. in Intelligent Systems Engineering @ Indiana Universtiy
Minors in Intelligent Systems Engineering and Mathematics

I build data-driven and intelligent systems at the intersection of hardware, software, and real-world impact.

I’m especially interested in developing human-centered technologies in healthcare.

Growing up alongside my sister’s journey with Type 1 diabetes, I saw firsthand how tools like glucose monitors and insulin pumps can transform daily life. That experience continues to shape my goal of building systems that make a meaningful impact on people’s lives.

• Computer Engineering student at Indiana University
• Accelerated M.S. in Intelligent Systems Engineering
• Focused on embedded systems, machine learning, and healthcare technology
• Experience across ML, embedded systems, cloud APIs, and data analytics

• Embedded Systems and Edge Computing
• Machine Learning and Model Optimization
• Data Engineering and Analytics
• Hardware–Software Co-Design

I enjoy working where systems thinking, performance constraints, and real-world deployment all meet.

• Developed a CNN-based model for detecting bone fractures from medical images
• Applied deep learning techniques for healthcare-focused computer vision
• Demonstrates interest in human-centered and medical device engineering

• Built and optimized a neural network for real-time activity recognition on Raspberry Pi
• Improved model accuracy from ~0.80 to up to 1.00
• Balanced inference time, model size, and deployment constraints using TensorFlow Lite

• Developed a cloud-based machine learning microservice using Flask and Random Forest
• Deployed REST API with endpoints for predictions, metrics, and visualization
• Hosted on Jetstream2 cloud infrastructure for real-time data interaction

• Designed an autonomous and manual control system for a Romi 32U4 robot
• Implemented closed-loop wheel speed control using encoder feedback
• Built state-machine-driven navigation for reliable movement

• Developed embedded systems using STM32 microcontrollers and STM32CubeIDE
• Implemented UART communication, GPIO control, and sensor interfacing
• Strengthened low-level firmware and hardware-software integration skills

• Information Technology Intern — 1st Source Bank
  Worked with SQL and Power BI to analyze customer account behavior, building data-driven insights that informed business and retention strategies.

• LEAN / Manufacturing Engineering Intern — Lippert
  Designed and implemented engineering solutions to improve production efficiency, combining data analysis and system optimization to enhance manufacturing workflows.

Focused on data-driven decision-making, system optimization, and real-world engineering impact.

• Founder and President — SHPE at Indiana University
  Built and led a chapter focused on expanding access, mentorship, and professional development for underrepresented students in STEM.

• Founding Class and Vice President of Technical Development — Tau Epsilon Kappa, Beta Chapter
  Led technical programming and project-based initiatives, helping members develop hands-on experience in engineering and software development.

Built chapters impacting 500+ students and collaborating with 20+ organizations.

Languages
Python • C • C++ • Java • SQL • Verilog • RISC-V

Machine Learning & Data
TensorFlow • scikit-learn • Power BI • DAX

Hardware
Arduino • Raspberry Pi • FPGA

Tools
GitHub • LTspice • AutoCAD • Fusion 360

Medical Devices and Healthcare Engineering
Human-Centered Systems
Intelligent and Embedded Systems

I play rugby and compete as a student-athlete on the Indiana University Men’s Rugby Team.