diff --git a/resumes/build/mnisyif_resume.pdf b/resumes/build/mnisyif_resume.pdf
index 3b2b5c9..41b1fa7 100644
Binary files a/resumes/build/mnisyif_resume.pdf and b/resumes/build/mnisyif_resume.pdf differ
diff --git a/resumes/mnisyif_resume.tex b/resumes/mnisyif_resume.tex
index f1e7aaf..abd9ede 100644
--- a/resumes/mnisyif_resume.tex
+++ b/resumes/mnisyif_resume.tex
@@ -97,7 +97,6 @@
     \end{tabular*}\vspace{-7pt}
 }
 
-
 \newcommand{\resumeProjectHeading}[2]{
     \vspace{-2pt}\item
     \begin{tabular*}{1.00\textwidth}{l@{\extracolsep{\fill}}r}
@@ -122,13 +121,13 @@
 
 %----------HEADING----------
 \begin{tabular*}{\textwidth}{@{\hspace{-1ex}}l}
-	\textbf{\href{http://m.nisyif.com/}{\Huge\color{blue}MURTADHA NISYIF}} \vspace{2pt}\\
-	\href{mailto:mnisyif@gmail.com}{\faIcon{at} mnisyif@gmail.com} $|$
-	\faIcon{phone-square-alt} +1 (519) 502-8463 $|$
-	\faIcon{map-marker-alt} Kitchener, Ontario $|$
-	\href{https://m.nisyif.com/}{\faIcon{user-tie} m.nisyif.com} $|$
-	\href{https://www.linkedin.com/in/mnisyif}{\faIcon{linkedin} linkedin.com/ln/mnisyif} $|$
-	\href{https://github.com/mnisyif}{\faIcon{github} github.com/mnisyif}\vspace{12pt} \\
+    \textbf{\href{http://m.nisyif.com/}{\Huge\color{blue}MURTADHA NISYIF}} \vspace{2pt}\\
+    \href{mailto:mnisyif@gmail.com}{\faIcon{at} mnisyif@gmail.com} $|$ 
+    \faIcon{phone-square-alt} +1 (519) 502-8463 $|$ 
+    \faIcon{map-marker-alt} Ontario, Canada $|$ 
+    \href{https://m.nisyif.com/}{\faIcon{user-tie} m.nisyif.com} $|$
+    \href{https://www.linkedin.com/in/mnisyif}{\faIcon{linkedin} linkedin.com/ln/mnisyif} $|$
+    \href{https://github.com/mnisyif}{\faIcon{github} github.com/mnisyif}\vspace{12pt} \\
 \end{tabular*}
 
 \vspace{-20pt}
@@ -155,6 +154,15 @@ AI Systems Engineer with expertise intersecting machine learning optimization, r
 	\textbf{Tech Stacks: } & PyTorch; Stable-Baselines3; ROS2; Arduino IDE; React; FastAPI; Flask; Jest; PyTest; Docker; Jenkins; Terraform; AWS (EC2, S3); Nginx Proxy Manager; Cloudflare; Prometheus; Grafana; SQLite; PostgreSQL \\
 \end{tabularx}
 \vspace{-10pt}
+% %-----------SKILLS-----------
+% \section{\color{blue}SKILLS \& TECHSTACKS}
+% \begin{tabularx}{\textwidth}{ @{} >{\bfseries}l X }
+% 	% \textbf{Certifications: } & AWS Solutions Architect\\
+% 	\textbf{Skills: }      & AI; DevOps; Cloud Computing; IaC; Containerization; CI/CD; Monitoring; Data Engineering; ML Ops                                                                                      \\
+% 	\textbf{Languages: }   & Python; C++; C; JavaScript; Rust; HTML; Java; Bash                                                                                                                                   \\
+% 	\textbf{Tech Stacks: } & FastAPI; PyTorch; React; Flask; SQLite; PostgresSQL; NumPy; SciPy; Scikit-learn; Matplotlib; MongoDB; Docker; Git; Jenkins; Terraform; AWS; Kubernetes; Express JS; Node.js; Swagger \\
+% \end{tabularx}
+% \vspace{-10pt}
 
 %----------Experience----------
 \section{\color{blue}WORK EXPERIENCE}
@@ -208,6 +216,26 @@ AI Systems Engineer with expertise intersecting machine learning optimization, r
 
 \resumeSubHeadingListEnd
 \vspace{-7pt}
+% %-----------PROJECTS-----------
+% \section{\color{blue}PROJECTS}
+% \resumeSubHeadingListStart
+%
+% \resumeProjectHeading {\textbf{\color{black}Home lab Adminstration} $|$ \color{blue} \emph{Docker, Terraform, Jenkins, Prometheus, Grafana, SSL/TLS}}{}
+% \resumeItemListStart
+% \resumeItem{Orchestrate a comprehensive home lab environment managing 15+ Docker containers for media, web, and gaming services, configured auto-renewal SSL/TLS certification with Let’s Encrypt, setup Prometheus/Grafana monitoring, and applied Fail2Ban for robust security achieving 99.9\% uptime and detailed system analytics}
+% \resumeItemListEnd
+%
+% \resumeProjectHeading{\textbf{\color{black}Heart Disease Predictor} $|$ \color{blue} \emph{Python, Flask, RESTful, HTML, CSS, JS}}{}
+% \resumeItemListStart
+% \resumeItem{Developed a scalable Flask-RESTful API paired with an interactive HTML/JS frontend while leveraging the UCI dataset and implemented real-time feature scaling with hyperparameter tuning to deliver a 95\% prediction accuracy, supporting timely clinical decision-making}
+% \resumeItemListEnd
+%
+% \resumeProjectHeading{\textbf{\color{black} Real-Time Noise Cancellation with RL} $|$ \color{blue} \emph{Python, PyTorch, Gymnasium, SciPy, librosa}}{}
+% \resumeItemListStart
+% \resumeItem{Created a bespoke OpenAI Gym environment incorporating FFT-based audio processing and trained a PPO agent to perform adaptive noise cancellation in real time, achieving processing speeds exceeding 5,200 FPS for high-fidelity audio performance}
+% \resumeItemListEnd
+% \resumeSubHeadingListEnd
+% \vspace{-7pt}
 
 \section{\color{blue}PUBLICATIONS}
 \resumeSubHeadingListStart