Balanced technical and analytical capabilities improve decision-making, enhance efficiency, drive innovation, and support sustained organizational growth and progress.
Personal information
Versatile and forward-thinking technology professional with a strong foundation in intelligent systems and enterprise automation. Skilled at designing scalable solutions, improving operational performance, and transforming data into actionable results. Recognized for fast learning, teamwork, and a proactive approach to solving business challenges with modern technology. Seeking opportunities to drive digital innovation and optimize workflows in ambitious environments.
Proven expertise in advanced technology and strategic data analysis to drive innovation, business growth, and actionable insights.
Gained foundational experience in full-stack web development and agile methodologies. Contributed to the development of a customer-facing e-commerce platform using Python and Django, improving page load times by 15%. Collaborated with senior engineers to troubleshoot bugs and deploy new features in a fast-paced environment. This early exposure cemented a strong interest in scalable software solutions.
Assisted a PhD candidate with research focused on optimizing data retrieval algorithms. Cleaned and analyzed large datasets using SQL and R. Developed a simulation model in MATLAB to test the efficiency of a proposed algorithm, which demonstrated a 10% performance improvement over the existing standard.
Education and background
Completed Master’s degree in Computer Science, specializing in Applied Machine Learning and Distributed Systems. Final thesis focused on latency-aware architectures for real-time recommendation engines.
- Implemented a microservice-based analytics system that enhanced performance visibility
- Presented research on real-time AI decisioning at a national tech symposium
- Contributed to an open-source project supporting scalable data ingestion
- Earned university distinction award for academic excellence
Bachelor’s degree in Software Engineering provided strong grounding in algorithms, secure system development, and collaborative software practices.