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"- Implemented C++ design patterns (Factory, Observer, Iterator, Strategy) to modularize payment-terminal firmware, improving maintainability and enabling rapid feature rollouts within biweekly sprints.",
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"- Developed certificate-expiry detection logic in C++, cross-checking X.509 certificates against the system clock at startup; terminals now refuse expired credentials and display a 'Certificate Expired' prompt, protecting transactions for thousands of merchants.",
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"- Refactored legacy code paths with modern C++ best practices (lambda expressions, std::unique_ptr, std::function maps), reducing authorization routine execution time by 15% and eliminating critical memory leaks.",
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"- Authored Python scripts to migrate over 50 SVN repositories to Bitbucket, automating branch mapping and preserving full commit history, reducing migration effort by 40%.",
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"- Triaged and resolved high-severity customer issues (terminal reboots, system crashes) by leading 10+ root-cause analysis sessions—examining logs, reproducing firmware faults, and updating configuration guides—to reduce mean time to resolution by 30%.",
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"- Mentored three junior engineers through internal DevOps and advanced C++ certification programs, co-leading weekly hands-on workshops to share best practices in CI/CD pipelines and modern C++ features.",
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],
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"Implemented C++ design patterns (Factory, Observer, Iterator, Strategy) to modularize payment-terminal firmware, improving maintainability and enabling rapid feature rollouts within biweekly sprints.",
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"Developed certificate-expiry detection logic in C++, cross-checking X.509 certificates against the system clock at startup; terminals now refuse expired credentials and display a 'Certificate Expired' prompt, protecting transactions for thousands of merchants.",
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+
"Refactored legacy code paths with modern C++ best practices (lambda expressions, std::unique_ptr, std::function maps), reducing authorization routine execution time by 15% and eliminating critical memory leaks.",
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+
"Authored Python scripts to migrate over 50 SVN repositories to Bitbucket, automating branch mapping and preserving full commit history, reducing migration effort by 40%.",
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+
"Triaged and resolved high-severity customer issues (terminal reboots, system crashes) by leading 10+ root-cause analysis sessions—examining logs, reproducing firmware faults, and updating configuration guides—to reduce mean time to resolution by 30%.",
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+
"Mentored three junior engineers through internal DevOps and advanced C++ certification programs, co-leading weekly hands-on workshops to share best practices in CI/CD pipelines and modern C++ features.",
company_name: "ReDX (Revolutionary Digital Transformation Technologies)",
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icon: rd,
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iconBg: "#E6DEDD",
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date: "Feb. 2024 - Jun. 2024",
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points: [
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"- Accelerated BFS graph processing by 5.39× on 44 GB seismic datasets by refactoring NextVision’s C++ code to use cugraph::bfs with concurrent multi-source searches and optimized CUDA kernel queues via OpenACC pragmas on an NVIDIA A100 GPU.",
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"- Reduced NextVision environment setup time by 50% (from 40 minutes to 20 minutes) by designing a Docker container pre-installing CUDA 12, cuGraph 0.21, Thrust, and Python 3.10, ensuring reproducible HPC onboarding and eliminating configuration drift.",
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"- Validated algorithmic correctness via byte-for-byte patch comparison, confirming that GPU-accelerated BFS outputs matched CPU results across 120 test graphs (1 GB–44 GB) and maintained 100% fidelity in cluster assignments.",
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"- Collaborated with geophysicists and GIS analysts to identify maximal independent vertex subsets—automating multi‑seed BFS launches—and co-authored an EAGE conference paper that demonstrated a 5× improvement in interpretive throughput.",
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"- Benchmarked FastAPSP versus BFS workloads, projecting a further 3× reduction in compute complexity on large sparse graphs; documented findings to guide future cuGraph integrations once API support becomes available.",
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"Accelerated BFS graph processing by 5.39× on 44 GB seismic datasets by refactoring NextVision’s C++ code to use cugraph::bfs with concurrent multi-source searches and optimized CUDA kernel queues via OpenACC pragmas on an NVIDIA A100 GPU.",
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"Reduced NextVision environment setup time by 50% (from 40 minutes to 20 minutes) by designing a Docker container pre-installing CUDA 12, cuGraph 0.21, Thrust, and Python 3.10, ensuring reproducible HPC onboarding and eliminating configuration drift.",
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"Validated algorithmic correctness via byte-for-byte patch comparison, confirming that GPU-accelerated BFS outputs matched CPU results across 120 test graphs (1 GB–44 GB) and maintained 100% fidelity in cluster assignments.",
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"Collaborated with geophysicists and GIS analysts to identify maximal independent vertex subsets—automating multi‑seed BFS launches—and co-authored an EAGE conference paper that demonstrated a 5× improvement in interpretive throughput.",
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"Benchmarked FastAPSP versus BFS workloads, projecting a further 3× reduction in compute complexity on large sparse graphs; documented findings to guide future cuGraph integrations once API support becomes available.",
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],
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},
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{
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title: "Master Degree in Computer Engineering",
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company_name: "National School of Engineers of Sfax (ENIS) | GPA(3.63/4.0)",
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company_name:
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"National School of Engineers of Sfax (ENIS) | GPA (3.63/4.0)",
company_name: "ReDX (Revolutionary Digital Transformation Technologies)",
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icon: rd,
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iconBg: "#E6DEDD",
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date: "Jun. 2023 - Sep. 2023",
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points: [
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"- Built CI/CD pipelines with GitHub Actions—accelerating releases by 80%—and containerized microservices with Docker and Kubernetes for scalable HPC/AI deployments.",
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"- Architected AWS (EC2, S3, IAM) infrastructure and implemented Prometheus/Grafana monitoring for 99.99% uptime and proactive alerting on performance issues.",
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"- Migrated infrastructure to Terraform as code, improving deployment repeatability and reducing environment drift.",
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"- Automated course-progress tracking and certificate issuance workflows, reducing manual tasks for trainers by 40%.",
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"Built CI/CD pipelines with GitHub Actions—accelerating releases by 80%—and containerized microservices with Docker and Kubernetes for scalable HPC/AI deployments.",
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"Architected AWS (EC2, S3, IAM) infrastructure and implemented Prometheus/Grafana monitoring for 99.99% uptime and proactive alerting on performance issues.",
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"Migrated infrastructure to Terraform as code, improving deployment repeatability and reducing environment drift.",
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"Automated course-progress tracking and certificate issuance workflows, reducing manual tasks for trainers by 40%.",
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],
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},
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{
@@ -82,15 +84,16 @@ const experiences = [
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iconBg: "#E6DEDD",
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date: "Jul. 2022 - Sep. 2022",
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points: [
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"- Developed a Flutter/Dart mobile app for patient monitoring, delivering sub‑second vital‑sign updates for 50+ users.",
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"- Engineered an alert subsystem to send notifications within 5 seconds of critical condition detection, reducing response times by 40%.",
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"- Integrated MongoDB with a Python/Flask backend to securely store clinical data and power RESTful API endpoints for seamless data exchange.",
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"- Collaborated with healthcare professionals to gather requirements and optimize UX, achieving over 50 active users during initial testing.",
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"Developed a Flutter/Dart mobile app for patient monitoring, delivering sub‑second vital‑sign updates for 50+ users.",
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"Engineered an alert subsystem to send notifications within 5 seconds of critical condition detection, reducing response times by 40%.",
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"Integrated MongoDB with a Python/Flask backend to securely store clinical data and power RESTful API endpoints for seamless data exchange.",
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"Collaborated with healthcare professionals to gather requirements and optimize UX, achieving over 50 active users during initial testing.",
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],
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},
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{
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title: "Mathematics and Physics Preparatory Cycle",
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company_name: "Sfax Preparatory Engineering Institute (IPEIS) | Ranked in the top 20 % In the National Exam for Entrance to Engineering Schools",
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company_name:
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"Sfax Preparatory Engineering Institute (IPEIS) | Ranked in the top 20% in the National Exam for Entrance to Engineering Schools",
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