About me

My journey into technology began with a Bachelor's degree in Economics from Benson Idahosa University, which sharpened my analytical and statistical skills. Soon after, I discovered a deep passion for software development, initially teaching myself the ropes and even founding a small software development firm, Auretech, where I delivered custom web and mobile solutions for over 12 small businesses. This entrepreneurial experience, coupled with a desire for creative problem-solving, led me to roles where I could tackle complex challenges head-on.

To formalize and expand my technical expertise, I am currently pursuing a Master’s degree in Computer Information Systems at Prairie View A&M University, focusing on advanced software development, cloud computing, and machine learning. This academic pursuit complements my practical experience, including a recent impactful internship as a Software Development Engineer at Amazon and my current role as a Graduate Research Assistant in the Deep Learning Center. My technical toolkit is extensive, encompassing languages like Python, Java, and JavaScript, alongside frameworks such as ReactJS, Django, and Spring Boot, and cloud technologies like AWS.

I am driven to leverage this unique blend of economic insight and technical prowess to develop innovative solutions at the intersection of business and technology. My aspiration is to lead technical teams in creating scalable, impactful applications that address complex business challenges and improve operational efficiency. Beyond coding, I enjoy mentoring aspiring developers, a passion stemming from my own journey, and I'm actively involved in organizations like the National Society of Black Engineers (NSBE). I believe in technology's power to transform communities and am committed to continuous learning and contribution to this ever-evolving field.