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Hi, I am Sam,
a dynamic and innovative professional.

Digitalizing the world, one bit at a time!.

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About Me

As a fresh Computer Science graduate with a B.Sc. in Software Engineering, I bring a blend of technical expertise and hands-on experience in digital transformation, data-driven decision-making, and user-centric solutions. My return to academia in 2022 was a pivotal move, reflecting resilience, adaptability, and a growth mindset—traits that fuel my passion for solving complex problems in fast-paced environments. I have a strong foundation in artificial intelligence (AI), machine learning (ML), and computer vision, with my thesis focusing on a "Grid-based approach to parsing 2D screens for web interfaces". This research, integrating UI analysis, data modeling, and vision-language model (VLM) principles, not only advanced UI parsing accuracy but also positioned me at the intersection of human-computer interaction (HCI) and the future of large language models (LLMs). My work contributes to the next generation of multimodal AI systems, emphasizing scalability, automation, and intelligent user experiences. I am passionate about leveraging cutting-edge technologies and I stay ahead of industry trends through continuous learning. My experience includes full-stack development, UX/UI design, data management, and content strategy, equipping me with a holistic view of how technology, design, and business intersect. I thrive in agile, cross-functional teams, where I can contribute to innovative AI-driven solutions, optimize digital strategies, and deliver scalable, impactful results. My proficiency in problem-solving, critical thinking, and project management allows me to handle ambiguous challenges while aligning technical efforts with business objectives. I aspire to join a dynamic, forward-thinking organization where I can drive digital transformation initiatives, enhance accessibility and UX, and contribute to building next-generation products that leverage the power of AI, automation, and emerging digital ecosystems. I am excited to collaborate with diverse, multidisciplinary teams to shape the future of intelligent digital experiences.

Featured Projects

Project 1

IndaHouse - IoT-Project

IndaHouse involves building a temperature and humidity monitoring system using a Raspberry Pi Pico WH, a DHT11 sensor, and a Node js + MongoDB backend.🌡️

Project 2

iOS vs Android - Big Data Project

This project studies the ever-persistent iOS vs Android debate by analyzing user behavior, sentiments, and preferences using Amazon reviews for cell phones and accessories. 📱✨.

Project 3

LaundryBuddy - FullStack Project

This web application is designed to streamline the laundry booking process for apartment residents, allowing them to book slots for laundry machines and manage their bookings.👕