About Me
Recent Computer Science graduate specializing in Artificial Intelligence, with hands-on experience in machine learning, data engineering, and workflow automation. I enjoy turning complex problems into practical, scalable…
Recent Computer Science graduate specializing in Artificial Intelligence, with hands-on experience in machine learning, data engineering, and workflow automation. I enjoy turning complex problems into practical, scalable solutions from building and training ML models to designing efficient data pipelines and automating repetitive workflows to improve productivity. My academic projects and internships have strengthened my skills in Python, data analysis, and applied machine learning techniques. I'm now seeking an entry-level AI or Machine Learning role where I can contribute technical skills, a strong problem-solving mindset, and eagerness to learn while growing alongside a collaborative team focused on building impactful, real-world AI solutions.
Experience
AI Intern
<p>Developed and deployed AI-powered workflow automations using n8n, integrating Google Analytics, Google Search Console, PageSpeed Insights, ClickUp, Baserow, email, and AI models to automate reporting, meeting documentation, and SEO analysis.</p><p> Built automated data analysis and reporting pipelines that compared performance metrics over time, generated AI-driven insights, and produced comprehensive SEO and analytics reports, reducing manual effort and improving decision-making.</p>
Software Engineering Intern
<p>Frontend tasks included modifications and feature additions using HTML, CSS and JavaScript</p><p> Collaborated with another intern to create a page fetching data from the database using C# and .NET, presenting it in a user-friendly frontend.</p><p> Designed and implemented a robust "Timesheet" feature for the website, leveraging C# and .NET Framework.</p>
AI Developer
<p>Secured 4th place out of 215 teams in a multi-phase national AI competition, consistently improving ranking from 10th to 4th across three knockout stages.</p><p> Engineered a Brain-Computer Interface (BCI) system utilizing EEG signals to interpret Motor Imagery (MI) and Steady-State Visual Evoked Potentials (SSVEP).</p><p> Developed and validated machine learning models through live testing with human participants, bridging the gap between theoretical AI and real-world neuroscientific application.</p>