May 1, 2025
Building AI-Powered Tools for Medical Diagnostics
Exploring the challenges and opportunities in developing machine learning solutions for healthcare applications, with insights from my work at DementiAnalytics...
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Hello! I'm a recent Computer Engineering graduate from Penn State University with experience in machine learning, embedded systems, and operating systems. Currently, I work at DementiAnalytics as Head of Machine Learning where I focus on developing AI-powered dementia detection and assessment technology.
I enjoy tackling complex problems and creating elegant solutions through code. My background in computer engineering has equipped me with strong analytical skills and a deep understanding of both hardware and software systems.
I'm passionate about leveraging technology to solve meaningful problems, especially in healthcare and autonomous systems.
Get In TouchEducation
2020 - 2024
B.S. in Computer Engineering
Pennsylvania State University
Dean's List: FA20, SP21, FA21, SU23
Awards: Defne-Muhtar Kent Scholarship
Relevant coursework: Communication Networks, Computer Architecture, Data Structures & Algorithms, Digital Design, Digital Image Processing, Exploratory Data Mining, Neural Networks, Operating Systems Design & Construction
Skills
Languages
C/C++
Python
Bash
Java
JavaScript
Kotlin
C#
SQL
Verilog
MATLAB
Technologies
LLM-Integration
AWS
PyTorch
NumPy
.NET
Android Studio
Linux
Embedded Systems
React
Docker
Work Experience
February 2025 - Present
Head of Machine Learning
DementiAnalytics – State College, PA
• Leading machine learning initiatives to develop AI-powered dementia detection and assessment technology, focusing on processing and analyzing audio/text samples with Whisper AI and in-house LLMs
• Architecting neural network models that identify cognitive impairment indicators from speech patterns
• Collaborating with cross-functional teams to integrate AI solutions, ensuring alignment with clinical requirements
January 2024 - December 2024
Software Engineer
Advanced Vehicle Team – University Park, PA
• Engineered sophisticated computer vision algorithms for self-driving cars, leveraging Python and YOLO models
• Achieved 3rd place for the "Overall Year 3 Winners" in the Auto Drive Challenge II, backed by GM & SAE International
• Optimized FLIR camera image processing, achieving a 50% increase in object detection accuracy by enhancing the algorithm
July 2023 - October 2023
Software Engineer Co-op
Bakkal Co. – Pleasanton, CA
• Leveraged Agile methodologies to collaborate in SCRUM sprints for optimizing BAKKAL's ethnic food delivery applications
• Enhanced the performance and features of BAKKAL's mobile applications through proficient use of Java and Android Studio
Projects
ResearchTLDR.xyz
A full-stack academic research platform that processes complex scientific papers into comprehensive, structured summaries using multiple LLM providers.
Music Generation using RNNs
A deep learning system for generating piano music using PyTorch, implementing an RNN architecture trained on 1200+ classical pieces from the MAESTRO dataset.
Computer Vision for Self-Driving Car
A real-time YOLO-based computer vision system for autonomous vehicle object detection, successfully identifying pedestrians, animals, traffic signs, and traffic lights.
C Systems Programming Project
A systems programming project simulating industry-standard operations through a 5-stage process, incorporating bit manipulation, cache optimization, and server networking protocols.
Guitar Amplification Simulation
Customized Arch Linux distribution for real-time audio processing on Raspberry Pi, utilizing BASH scripting and low-level system optimization for responsive audio with 25+ audio effects.
Blog
April 15, 2025
Computer Vision for Autonomous Vehicles
A deep dive into the computer vision systems we developed for the Advanced Vehicle Team that helped us secure 3rd place in the Auto Drive Challenge II...
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March 22, 2025
Music Generation with RNNs: Behind the Scenes
An in-depth look at how I trained a recurrent neural network on classical piano pieces to generate new compositions...
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