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         When I saw that RSI provided this opportunity for me to advance my own research with domain experts,
         I knew that I had to apply. Robotics, AI, and signal processing are the thoughts that keep me 
         awake at night — RSI is where I can finally pursue them.\\\\
+        
+        \pagebreak
+
+          \section{2.1 Further experience in Programming}
+
+
+        
+        \begin{onecolentry}
+            \textbf{Prompt: }Briefly describe any past or ongoing experience with computer programing, modeling and/or data analysis you indicated an Intermediate or Advanced level of familiarity with in questions 2 and 3, addressing both questions posed and methods and tools employed.
 
 
 
+        \begin{onecolentry}
+            \begin{highlights}
+                \item Java — Advanced
+                \item Python — Advanced
+                \item Numpy/Pandas/SciPy — Advanced
+                \item TensorFlow — Intermediate
+                \item OpenCV — Intermediate
+                \item C++ — Beginner 
+                \item Bash — Beginner
+            \end{highlights}
+        \end{onecolentry}
+
+        \end{onecolentry}
+
+        \vspace{0.2 cm}
 
 
 
-    
-  
+        \begin{onecolentry}
+            \textbf{Limit: 2000 Characters}
+
+        \end{onecolentry}
+
+        \vspace{0.2 cm}
+
+
+        In Java, I have a lot of experience in use for robotics (FTC) and for competitive programming. 
+        For robotics, I use Java to design control systems, custom libraries, and autonomous routines. 
+        I have created a full motion-profiling and trajectory-planning library based on spline profiles.
+        This involved implementing PIDF feedback loops, feedback control, and a kinematic model of the robot drive. I 
+        have also used Java for complex real-time projectile calculation to autonomously
+        shoot a ball while in a moving robot (using differential equations). Outside robotics, I have used Java for
+        competitive programming, solving problems for local contests and the Advent of Code. I am familiar with 
+        data structures (trees, graphs, heaps) and algorithms (A*, dynamic programming) in Java.
+        \\\\
+        In Python, I have used the language extensively for data analysis and machine learning.
+        For my Parkinson's research, I used Python to implement signal processing techniques (Fourier transforms
+        and wavelet denoising) using Numpy and SciPy. I also used Pandas for data manipulation and analysis of IMU data.
+        Through a Jupyter Notebook, I visualized the data using Matplotlib and Seaborn to identify patterns. 
+        For machine learning, I used TensorFlow to build and train a 1D CNN and biLSTM model
+        for predicting Freezing of Gait episodes, 
+         designing custom layers and attention mechanisms to detect Freezing of Gait episodes in real time.
+         \\\\
+         Outside my research project, I have experience with TensorFlow and OpenCV for computer vision tasks.
+         For robotics, I coded a custom vision pipeline using OpenCV to detect and localize objects on the field.
+        This involved image preprocessing, contour detection, and perspective transformations to accurately identify
+        red and blue game elements. I also used TensorFlow (tflite) to deploy a lightweight object 
+        detection model for robotics to distinguish between three random starting positions autonomously.\\\\
+        I have minor amounts of experience in C++ and Bash. In C++, I have used the language for
+        firmware programming onto ESP32 modules (via Arduino IDE) for sensor interfacing and data logging. I also 
+        made a shell script that can render my resume in a user's terminal. I have limited experience with bash 
+        scripting for automating my Ubuntu server maintenance tasks, such as backups, updates, and automatic 
+        fetching/deployment of my web projects. 
+
+
+