diff --git a/resumes/build/mnisyif_resume.pdf b/resumes/build/mnisyif_resume.pdf index e8e90cd..3b2b5c9 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 5dcab7b..f1e7aaf 100644 --- a/resumes/mnisyif_resume.tex +++ b/resumes/mnisyif_resume.tex @@ -155,15 +155,6 @@ 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} @@ -217,26 +208,6 @@ 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