jobs(software): updated resume and coverletter for DataAnnotation

resumes/Murtadha.tex

@@ -117,13 +117,9 @@
 \end{tabular*}
 \vspace{-10pt}
 
-%----------Highlights----------
-\section{\color{blue}Highlights}
-    \resumeItemListStart
-        \resumeItem {Developed a Flask web app to predict heart disease using ML models, including feature encoding, scaling, and real-time prediction}\vspace{-5pt}
-        \resumeItem {Designed nested MongoDB schemas using Mongoose to support flexible, multi-representation document structures}\vspace{-5pt}
-        \resumeItem {Dockerized and deployed backend/frontend using Jenkins CI/CD with rollback capability and uptime focus}\vspace{-5pt}
-    \resumeItemListEnd
+%----------Summary----------
+\section{\color{blue}Summary}
+    Versatile software engineer with hands-on experience in backend systems, machine learning, DevOps, and embedded platforms. Proficient in Python, C++, Rust and JS, with a portfolio of applied AI, web services, and hardware integrated projects. Passionate about writing clean, testable code and clearly communicating technical insights
 \vspace{-5pt}
 
 %----------Experience----------
@@ -164,24 +160,24 @@
   %-----------SKILLS-----------
 \section{\color{blue}Skills}
     \begin{tabular}{ @{} >{\bfseries}l @{\hspace{1.2ex}}l}
-        \textbf{Languages:} & Python, C++, JavaScript, SQL, Bash \\
-        \textbf{Frameworks:} & Flask, React, Node.js, ROS, Express.js \\
-        \textbf{Databases:} & MongoDB (Mongoose), PostgreSQL, SQLite \\
-        \textbf{DevOps:} & Docker, Jenkins, Git, Terraform, AWS \\
-        \textbf{Tools:} & GitHub, Postman, Swagger, Nginx, iperf3 \\
+        \textbf{Languages:} &Python, C++, JavaScript, C, SQL, Java, C\#, Bash \\
+        \textbf{Frameworks:} &Flask, FastAPI, Node.js, React, TensorFlow, PyTorch, ROS2 \\
+        \textbf{Databases:} &MongoDB, PostgreSQL, SQLite \\
+        \textbf{Tools:} &Docker, Kubernetes, Git, Jenkins, Terraform, AWS, Vitis AI \\
     \end{tabular}
     \vspace{-8pt}
 
 %-----------PROJECTS-----------
 \section{\color{blue}Projects}
-    \resumeSubHeadingListStart
-        \resumeSubItem{\textbf{\color{black}Heart Condition Prediction Web App}}
-            {Built a Flask-based app to predict heart disease risk using ML models with real-time input processing, encoding, and instant output.}
-        \resumeSubItem{\textbf{\color{black}Full-stack Portfolio Project}}
-            {Dockerized frontend/backend using React and Java; deployed using Jenkins pipeline with AWS S3 for static hosting and MinIO for object storage.}
-        \resumeSubItem{\textbf{\color{black}DevOps Homelab}}
-            {Maintained home lab infrastructure with Docker, Kubernetes, Ceph, and Jenkins. Built versioned CI/CD pipelines for staging + rollback experiments.}
-    \resumeSubHeadingListEnd
+    \begin{itemize}[leftmargin=0.15in, label={}]
+      \item \textbf{Heart Disease Predictor} – Flask app with sklearn model, real-time prediction, and input feature scaling \vspace{-5pt}
+      \item \textbf{StonkBot} – Discord bot for fantasy stock trading using Python, Matplotlib, and live API feeds \vspace{-5pt}
+      \item \textbf{Car Model Classifier} – CNN trained on Stanford Cars dataset with ResNet/EfficientNet architectures\vspace{-5pt}
+      \item \textbf{Memory Allocator Simulator} – C implementation of First/Best/Worst fit memory management\vspace{-5pt}
+      \item \textbf{Braille Converter Device} – Raspberry Pi-based image-to-Braille translator for accessibility\vspace{-5pt}
+      \item \textbf{Clean Architecture Backend} – C\# backend for portfolio website, CI/CD-ready with REST API\vspace{-5pt}
+      \item \textbf{RL Noise Cancelling} – Real-time audio filtering using RL and sparse training (PyTorch)\vspace{-5pt}
+    \end{itemize}
     \vspace{-10pt}
 
     %-----------EDUCATION-----------