[
    {
        "id": "APP_6a1c46a9e4ab2",
        "date": "2026-05-31 14:33:13",
        "role": "Enterprise Account Executive",
        "name": "Phiwa",
        "email": "phiwa@riovic.com",
        "phone": "76361420",
        "link": "https:\/\/linkedin.com",
        "message": "Test."
    },
    {
        "id": "APP_6a1c5d8122e78",
        "date": "2026-05-31 16:10:41",
        "role": "Enterprise Account Executive",
        "name": "Ndabenhle Nkonde",
        "email": "nnkonde8@gmail.com",
        "phone": "+268 76392296",
        "link": "https:\/\/NdabenhleNkonde",
        "message": "I come with over 10 years sales and service experience.I am a reliable,trustworthy and hard working individual who can multitask.I am excited about the role as it is in line with my career path to grow my expertise and to contribute to the company's vision at same time."
    },
    {
        "id": "APP_6a1c7c470605a",
        "date": "2026-05-31 18:21:59",
        "role": "Data Science Trainee",
        "name": "Siyabonga M Dube ",
        "email": "dube.msiyabonga07@gmail.com",
        "phone": "76278890",
        "link": "https:\/\/www.linkedin.com\/in\/dube-siyabonga-m-90a655370?utm_source=share_via&utm_content=profile&utm_medium=member_android",
        "message": "There's not much I can say that's different from the already scripted answers but what I can say is I'm the guy you call when you want to get things done the right way. Simply put I get things done no matter what the stakes are. "
    },
    {
        "id": "APP_6a1d418ee173b",
        "date": "2026-06-01 08:23:42",
        "role": "AI Engineering Intern",
        "name": "Nduduzo Hlophe",
        "email": "nduduzohlophe84@gmail.com",
        "phone": "+268 78197810",
        "link": "https:\/\/www.linkedin.com\/in\/nduduzo-hlophe-602429215\/",
        "message": "Dear Hiring Manager,\nI\u2019m writing to apply for the AI Engineering Intern position. As a final-year Physics and Mathematical Sciences student at the University of Eswatini, I\u2019ve spent the last few years bridging hands-on technical work with scientific computing, and I\u2019m particularly excited about applying those skills in a real AI engineering environment.\nLast year I worked as Project Technician on the university\u2019s PV solar plant, where I wasn\u2019t just maintaining inverters and upgrading the cluster controller  I also built machine learning models to analyse energy production data and forecast output. Seeing the models actually improve how we understood and optimised the system was genuinely rewarding and showed me how powerful even relatively simple ML can be when applied to real-world infrastructure problems in our region. I used Python heavily for that work, alongside pandas, scikit-learn, and some basic deep learning ideas I picked up from the Machine Learning Specialization on Coursera.\nMore recently, I joined Brookhaven National Laboratory as a Research Scholar on the Deep Underground Neutrino Experiment. I\u2019ve been doing detector simulations, analysing neutrino data, running high-voltage tests on argon detector components, and performing quality assurance on cryogenic electronics. The computational side of this work handling large datasets, writing analysis scripts in Python, and using simulation tools has sharpened my ability to turn complex physics problems into clean, efficient code. I\u2019ve also gained experience with Fortran and C++ for performance-critical parts, and I\u2019m comfortable working in high-performance computing environments.\nWhat draws me to AI engineering is the chance to combine this scientific computing background with more advanced machine learning systems. Whether it\u2019s improving models for renewable energy, optimising scientific simulations, or building tools that solve practical African challenges, I\u2019m eager to contribute and learn from experienced engineers. I\u2019m a quick learner, I enjoy collaborating (as I did while mentoring students as a Teaching Assistant in Computational Physics), and I\u2019m used to juggling multiple technical tasks under tight timelines.\nI would welcome the opportunity to bring my energy, technical foundation, and genuine interest in applied AI to your team. I\u2019m available for a conversation at your earliest convenience and can be reached directly on +268 7819 7810 or nduduzohlophe84@gmail.com.\n\nThank you for considering my application. I look forward to hearing from you."
    },
    {
        "id": "APP_6a1d42005d39a",
        "date": "2026-06-01 08:25:36",
        "role": "Data Science Trainee",
        "name": "Nduduzo Hlophe",
        "email": "nduduzohlophe84@gmail.com",
        "phone": "+268 78197810",
        "link": "https:\/\/www.linkedin.com\/in\/nduduzo-hlophe-602429215\/",
        "message": "I\u2019m excited to apply for the Data Science Trainee position. As a final-year Physics and Mathematical Sciences student at the University of Eswatini, I\u2019ve developed a strong passion for turning raw data into meaningful insights, especially in areas that matter for sustainable development in our region.\nMy interest in data science really took off when I worked as Project Technician for the university\u2019s solar PV plant. Beyond the electrical maintenance and system upgrades, I spent a lot of time analysing energy production data. I built machine learning models in Python to forecast output and identify performance patterns. It was eye-opening to see how these models could help optimise operations in a real renewable energy setup the kind of practical impact I want to keep creating.\nCurrently, I\u2019m a Research Scholar at Brookhaven National Laboratory working on the Deep Underground Neutrino Experiment. I analyse experimental data from neutrino detection systems, run detector simulations, and handle quality assurance for cryogenic electronics. This role has given me solid experience working with large, complex datasets and using computational tools to extract useful information. I regularly use Python for data processing and analysis, and I\u2019ve also worked with Fortran and C++ for more demanding computational tasks. These experiences have strengthened my ability to clean data, build models, and communicate technical findings clearly.\nI\u2019ve also built on this through the Machine Learning Specialization on Coursera and by serving as a Teaching Assistant in Computational Physics, where I guided students on programming, simulations, and problem-solving. I enjoy the challenge of exploring data, testing different approaches, and continuously learning new techniques.\nI\u2019m particularly interested in a Data Science Trainee role because it would allow me to deepen my skills in a structured environment while contributing to real projects. I\u2019m a fast learner, collaborative, and genuinely motivated to apply data science to solve practical problems.\nI would be grateful for the opportunity to discuss how my background and enthusiasm could add value to your team. Please feel free to reach me at +268 7819 7810 or nduduzohlophe84@gmail.com.\nThank you for your time and consideration. I look forward to hearing from you."
    },
    {
        "id": "APP_6a207d83da350",
        "date": "2026-06-03 19:16:19",
        "role": "Data Science Trainee",
        "name": "Lethokuhle Shongwe",
        "email": "shongwelethokuhle87@gmail.com",
        "phone": "+26876440146",
        "link": "https:\/\/www.linkedin.com\/in\/lethokuhle-shongwe-3a3327391",
        "message": "I am a final-year BSc Mathematics of Finance student awaiting results in 2 weeks. My degree has equipped me with strong foundations in statistics, linear algebra, probability,  and optimization, all of which are core to data science. I know excel, Matlab and LaTex and I'm currently learning sql with python next. I'll make impact by bringing analytical rigor, fast learning and a trainee's hunger to solve real problems."
    }
]