SOFTWARE SOFTWARE ENGINEER ENGINEER
Passionate about creating intelligent systems that solve real-world problems. I specialize in computer vision and ML engineering, delivering award-winning projects and impactful research that meaningfully improve user experiences.
EXPERIENCE
WINS
MSU
EXPERIENCE +3 YEARS OF EXPERIENCE
National Strategic Planning & Analysis Research Center (NSPARC)
Undergraduate Researcher
- AI Marksmanship Coach: Engineered a 3-stage offline CV pipeline (Video Processor → Biometric Analyzer → Audio Coach) using MediaPipe/OpenCV. Achieved 97.4% stance detection confidence via a deterministic geometry algorithm (75 keypoints/frame), delivering instant feedback via Gemini 2.0 Flash API and LemonFox TTS.
- Local LLM Web Summarizer: Built a full-stack Chrome Extension (Manifest V3) integrated with a local Llama 3.2:1B inference server. Optimized the Flask backend to run on 4GB RAM systems with 2–5s latency, ensuring 100% data privacy.
Mississippi State University
Undergraduate Researcher
Aug 2023 - Aug 2025- Pioneered a real-time depth alert system using YOLOv11 and Depth-pro to mitigate construction site fatalities; research currently submitted to the International Council of Construction Research (Q1 Journal).
- Annotated and trained an object detection model on 9,000+ open cattle feed lots in NAIP using YOLOV11, achieving 94% classification accuracy for stricter policy enforcement.
- Programmed 20+ OpenAirInterface cellular Non-Real-Time RIC files using C++ and containerized gNb/UE core files using Docker and Kubernetes, increasing dynamic radio resource allocation by 200%.
- Developed a data pipeline using Apache Kafka to boost an unsupervised learning model (F1 score: 0.91) and automated beamforming of Sivers mmWave towers using GNU Radio and Bash scripting.
Purdue University
Summer Research Intern
Jun 2024 - Aug 2024- Developed a linear regression model using scikit-learn, achieving 94% prediction accuracy in crop yield rate forecasting.
- Engineered a logistic regression model for a multi-class problem, attaining 96% accuracy in dry bean classification.
PROJECTS RECENT PROJECTS
HackFashion AI
AI wardrobe stylist that auto-categorizes clothes and generates outfit images based on weather/mood using Gemini API.
Rallymate
Table tennis biomechanics analyzer using YOLOv8 pose estimation to extract player velocity, joint angles, and CoG metrics.
EPUB Reader App
Personal e-reader with Flutter, OLED-black theme and exclusive Bookerly font.
Gravity Simulation
Three-body gravity simulation using OpenGL and GLFW for real-time visualization.
Bank Management System
Secure banking system with C# logic and PostgreSQL for accounts/transactions.
RT Monodepth Construction
Real-time monocular depth estimation system for construction object analysis.
TOOLS PREMIUM TOOLS
EDUCATION MY EDUCATION
Mississippi State University
B.S. in Computer Science, Shackouls Honors College
Minor in Statistics • Relevant Coursework: Algorithms, Computer Organization, Systems Programming, Statistical Inference