job: apply some changes to apply to Pythian

coverletters/cl.tex

@@ -6,10 +6,10 @@
 
 % Define variables
 %% Job related
-\newcommand{\companyName}{DataAnnotation}
+\newcommand{\companyName}{Pythian}
 \newcommand{\hiringManager}{Hiring Team}
-\newcommand{\companyAddress}{Kitchener, ON}
-\newcommand{\position}{Cloud Engineer - AI Trainer}
+\newcommand{\companyAddress}{Remote, Canada}
+\newcommand{\position}{AI/ML Engineer}
 
 %% Personal
 \newcommand{\name}{Murtadha Nisyif}
@@ -40,25 +40,34 @@
 %=============================
 %      OPENING SECTION
 %=============================
-I am writing to express my interest in the \position{} role at \companyName. 
-I am a recent graduate in Computer Engineering with a background in backend development, cloud deployment, and machine learning systems. 
-I have built and deployed full-stack applications and production-level services using Python, Docker, Flask, and CI/CD pipelines, and have experience working in both academic and team-based engineering environments. 
-I’m eager to contribute my skills and energy to a team committed to technical excellence and innovation.
+Pythian’s reputation for solving "tough data challenges" resonates deeply with my background in engineering high-efficiency AI pipelines for congested network environments.
+As a Computer Engineering Graduate and Researcher specialized in Semantic Communications and Edge Computing, I have spent my career ensuring that mission-critical data remains reliable and performant—the same standard Pythian has championed since 1997.
+I am eager to bring my expertise in model optimization and MLOps to the \position{} role to help your clients leverage bleeding-edge technologies.
 
 %=============================
 %       MAIN BODY SECTION
 %=============================
 \vspace{1em}
-\noindent My technical experience includes training ML models, deploying microservices, and integrating code into automated testing workflows. I’ve developed a heart disease prediction app using Flask and scikit-learn, engineered full-stack projects with React and Java, and maintained a Docker-based homelab environment running CI/CD and container orchestration. Other projects include memory allocation simulators in C, car classification using CNNs, reinforcement-based dynamic noise cancellation, and an accessibility-focused Braille converter powered by Raspberry Pi.
+\noindent My technical background aligns directly with Pythian’s focus on robust, scalable AI systems:
+
+\begin{itemize}[leftmargin=1.5em, labelsep=0.5em]
+	\item \textbf{Optimized AI Pipelines:} I developed semantic communication pipelines using Swin Transformer models that achieved a 30x reduction in bandwidth and 29\% lower latency while maintaining 96\% task accuracy.
+	\item \textbf{Production-Ready Deployment:} I have extensive experience containerizing multi-technology stacks with Docker and ROS2, and automating cloud infrastructure (AWS) using Terraform.
+	\item \textbf{MLOps \& Scalability:} I implemented CI/CD pipelines via Jenkins and GitLab, reducing manual deployment steps by 80\%, and orchestrated a home lab environment managing 15+ Docker containers with Prometheus/Grafana monitoring.
+	\item \textbf{Advanced AI Research:} I have published first-author IEEE research on adaptive JSCC frameworks and network-aware image transmission, demonstrating my ability to stay at the forefront of transformer-based architectures.
+\end{itemize}
 
 \vspace{1em}
-In addition to my programming work, I bring strong written communication skills and attention to detail. Whether writing technical documentation, explaining model decisions, or debugging tricky outputs, I enjoy breaking down complex problems and analyzing code quality. I am confident in evaluating code for correctness, performance, and clarity. I look forward to helping shape models that do the same.
+Pythian’s commitment to digital transformation and operational excellence mirrors my own drive to bridge the gap between complex model prototypes and production-ready AI systems.
+Whether it is quantizing models for edge constraints or orchestrating global cloud infrastructure, I thrive on making AI both accessible and highly efficient.
 
 %=============================
 %        CLOSING SECTION
 %=============================
 \vspace{1em}
-\noindent I am confident that my hands-on experience, collaborative mindset, and drive for technical excellence make me a strong fit for the \position{} role at \companyName. I am available for an interview at your convenience and would appreciate the opportunity to further discuss how I can contribute to your team. Please feel free to reach out to me at \email{} or by phone at \phone. Thank you for your time and consideration.
+\noindent I am confident that my blend of research-driven innovation and hands-on DevOps experience will allow me to contribute immediately to Pythian’s AI initiatives.
+I look forward to the opportunity to discuss how my background in high-performance ML engineering can support your clients’ data goals.
+Thank you for your time and consideration.
 
 \vspace{2em}
 \noindent Sincerely, \\

resumes/mnisyif_resume.tex

@@ -124,8 +124,8 @@
 \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} +964 775 608 4424 $|$
-	\faIcon{map-marker-alt} Karbala, Iraq $|$
+	\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} \\
@@ -135,7 +135,7 @@
 
 %-----------SUMMARY----------
 \section{\color{blue}SUMMARY}
-Versatile Computer Engineer and Researcher specialized in Semantic Communications and Edge Computing. First author of two IEEE conference papers focused on optimizing edge-cloud communication through task-driven feature extraction. \textbf{Bilingual in English and Arabic}, with expertise in developing high-efficiency AI pipelines for 5G/6G and Smart City infrastructure. Proven track record of reducing bandwidth demand by \textbf{30$\times$} while maintaining 96\% task accuracy in congested network environments
+Versatile Computer Engineer and Researcher specialized in Semantic Communications and Edge Computing. First author of two IEEE conference papers focused on optimizing edge-cloud communication through task-driven feature extraction, with expertise in developing high-efficiency AI pipelines for 5G/6G networks. Proven track record of reducing bandwidth demand by \textbf{30$\times$} while maintaining 96\% task accuracy in congested network environments
 
 \vspace{-7pt}
 
@@ -223,7 +223,7 @@ Versatile Computer Engineer and Researcher specialized in Semantic Communication
 \resumeProjectHeading
 {\textbf{Network-Aware Adaptive Semantic Image Transmission in Edge-Cloud Communications}}{MECOM 2025}
 \resumeItemListStart
-\resumeItem{Proposed an adaptive JSCC framework that couples Swin-Transformers with real-time network telemetry to optimize image transmission over dynamic 5G/6G core networks (Accepted, IEEE MECOM25)}
+\resumeItem{Proposed an adaptive JSCC framework that couples Swin-Transformers with real-time network telemetry to optimize image transmission over dynamic 5G/6G core networks (Published, IEEE Xplore)}
 \resumeItemListEnd
 
 \resumeProjectHeading