Journey
More detailed than a resume or LinkedIn profile, this page maps the gradual development behind my technical work, education, awards, and long-term direction.
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Long-term interest in pursuing a Neuroscience PhD after a Computer Science PhD.
Plans to start a YouTube channel explaining, building, and rebuilding complex systems from scratch, such as robot vacuums, smart glasses, IoT devices, and eventually larger systems.
Long-term plan to pursue a PhD in Computer Science after the planned AI master's degree, depending on research interests and admissions.
Long-term financial plan to buy a first large rental property around the time of starting a PhD, with Texas as first preference, Colorado second, and Washington third.
Plans to pursue an online Master's degree in Artificial Intelligence at the University of Colorado Boulder after completing the Data Science master's program.
Targeting promotion to Tech II after completing the Amazon RME apprenticeship path.
Expected completion of the Master of Science in Data Science around September 2026 according to LinkedIn education dates.
Started a Software Development bootcamp to strengthen web development, programming, and software career preparation.
Started building Simcine as a semantic movie and TV discovery platform focused on meaning-based recommendations instead of simple keyword similarity.
Defined Axiomizer as a platform that breaks research papers into interactive learning flows, explains why ideas matter, and turns passive reading into active learning.
Defined Bestpicky as a minimalist product decision platform using structured product data, review intelligence, value ranking, curated comparisons, and AI-guided recommendations.
Designed the concept for a reusable data-science showcase engine where each project moves from dataset to problem definition, model design, evaluation, explanation, deployment, and user interaction.
Started building a portable predictive-maintenance system using ESP32-S3, Raspberry Pi 5, vibration sensors, temperature sensors, thermal imaging, audio sensing, local display, storage, and AI analysis concepts.
Started planning a Monograph section under sinabolouri.com for daily micro-progress, knowledge refinement, daily logs, docs, and photography moments.
Completed IBM Full Stack Software Developer certification.
Completed Meta Back-End Developer certification.
Completed Google IT Automation with Python certification.
Completed NASM Personal Fitness Trainer certification.
Completed Amazon Junior Software Developer certification.
Started working in Amazon RME as a Mechatronics and Robotics Technician Apprentice at RNT9.
Completed IBM Data Science certification.
Completed an IT Infrastructure Specialist bootcamp.
Worked as Logistics Associate at Amazon DWA9, supporting sorting operations, stand-up communication, and delivery performance.
Completed Google IT Support certification.
Completed Google Business Intelligence certification.
Completed Supply Chain Excellence certification.
Completed Google Advanced Data Analytics certification.
Completed Unilever Supply Chain Data Analyst certification.
Completed an MBA in Business Analytics, adding business, analytics, operations, product strategy, and monetization thinking to the technical roadmap.
Started a Master of Science in Data Science, supporting a transition toward AI, machine learning, backend systems, applied science, and research-oriented product building.
Completed an Information Technology bootcamp covering systems, security, troubleshooting, and IT fundamentals.
Worked as Logistics Associate at Amazon DPD7, using productivity metrics, operational dashboards, and issue reporting to support performance and process reliability.
Experimented with minimalism, traveling with a backpack, biking, hotels, temporary city living, and eventually seeking work and stability.
Worked as Logistics Associate at Amazon DUR3, trained across induct, scan, divert, and ship dock operations.
Moved into store management, handling inventory, operations, staff scheduling, customer service, training, promotions, and data-informed decision making.
Started graduate study in Electrical and Electronics Engineering, with skills connected to machine learning, Python, research, MATLAB, Simulink, LabVIEW, and signal processing.
Worked on social media design, content calendars, brand assets, photography, menu design, label design, and social media performance analysis.
Worked in cafe operations as a Barista and Shift Manager, gaining experience in customer service, training, cash management, inventory, beverage development, and daily operations.
Completed a Programmable Logic Controllers bootcamp focused on Siemens PLCs, industrial automation, copper cabling, and hardware installation.
Completed a summer school in Electrical and Electronics Engineering, with listed skills including signal processing and AVR.
Completed a Bachelor of Science in Electrical and Electronics Engineering, building the technical foundation for later work in robotics, mechatronics, embedded systems, industrial automation, and predictive maintenance.
