Projects & Implementations

A showcase of my research implementations, engineering projects, and technical solutions that span machine learning, computer vision, streaming systems, and aerospace engineering.

Hybrid Transformer-CNN Model for mRNA Degradation

Hybrid Transformer-CNN Model for mRNA Degradation

Research

Developed a deep learning model combining transformer-based embeddings (ProtBERT and RNABERT) with convolutional neural networks to predict messenger RNA degradation rates with improved accuracy.

PythonTensorFlowKerasCNNTransformer Models
Rock-Paper-Scissors Vision Game

Rock-Paper-Scissors Vision Game

Computer vision

Built a real-time computer vision system using convolutional neural networks for accurate hand gesture recognition in an interactive Rock-Paper-Scissors game supporting simultaneous two-player gameplay.

PythonOpenCVTensorFlowNumPyComputer Vision
Low Latency Streaming Platform

Low Latency Streaming Platform

Streaming

Developed a streaming platform using FFmpeg, OBS, and DASH, achieving sub-2-second latency through source code modifications and optimized streaming parameters with QR code-based latency measurement.

PythonJavaScriptFFmpegGPACdash.js
Avionics Radar Simulation System

Avionics Radar Simulation System

Aerospace

Contributed to the TF-X National Combat Aircraft project by developing advanced 2D and 3D radar simulation systems with high-fidelity graphics rendering for fifth-generation fighter aircraft.

C#.NETHelix ToolkitWPFWindows Forms
Linux I/O Scheduler Performance Analysis

Linux I/O Scheduler Performance Analysis

System performance

Conducted analysis of Linux I/O schedulers with Storage Performance Development Kit (SPDK), optimizing data throughput by 40% through hyperparameter adjustments and comprehensive testing.

LinuxSPDKPerformance TestingI/O Systems