Software Engineer Fellow at Head Starter

Led full-stack development of 3+ AI applications using Next.js, MongoDB, OpenAI, Stripe API, and Pinecone, delivering scalable and efficient solutions. Collaborated with engineers from Capital One, Amazon, Meta, and Bloomberg to design and deploy projects following MVC design patterns, increasing project performance and maintainability. Implemented AI solutions that streamlined user experiences, reducing response times by 15% and improving app efficiency, resulting in positive user feedback on performance.

Software Engineer Fellow at Headstarter

Led the full-stack development of 3+ AI applications using Next.js, MongoDB, OpenAI, Stripe API, and Pinecone, delivering scalable and efficient solutions. Collaborated with Capital One, Amazon, Meta, and Bloomberg engineers to design and deploy projects following MVC design patterns, increasing project performance and maintainability. Implemented AI solutions that streamlined user experiences, reducing response times by 15% and improving app efficiency, leading to positive user feedback on performance.

Data Science Intern at Oeson

Spearheaded A/B testing on a large database to optimize warranty product offerings, facilitating in-depth data analysis and delivering actionable insights to stakeholders. Analyzed bank marketing campaign data using hypothesis testing and random sampling, presenting actionable insights that shaped key strategic decisions. Engaged in Machine Learning projects focusing on Model Optimization and Predictive Modeling using Python, Pandas, and various ML algorithms to enhance data-driven decision-making.

Data Science Intern at Oeson Ottawa

Spearheaded A/B testing on a large data base to optimize warranty product offerings, facilitating in-depth data analysis and delivering actionable insights to stakeholders. Analyzed marketing campaigns using hypothesis testing and random sampling, presenting insights that shaped key strategic decisions. Engaged in machine learning projects focusing on model optimization and predictive modeling using Python, Pandas, and various ML algorithms to enhance data-driven decision making.

Data Scientist Intern at Oeson Ottawa

Spearheaded A/B testing on a large dataset to optimize warranty product offerings, facilitating in-depth data analysis and delivering actionable insights to stakeholders. Analyzed benchmark marketing campaign data using hypothesis testing and random sampling, presenting insights that shaped key strategic decisions. Engaged in machine learning projects focusing on model optimization and predictive modeling using Python, Pandas, and various ML algorithms to enhance data-driven decision making.

Software Engineer at Esports How

Built an automated data extraction tool that filtered thousands of user profiles by key parameters (e.g., leads with interest but no follow-up), cutting manual sorting by over 50% and improving workflow efficiency for the sales team. Designed and implemented an Excel reporting tool that streamlined Instagram DMs for the sales team, improving efficiency and boosting automation potential by 40%. Delivered the project ahead of schedule, ensuring high-quality results while meeting tight deadlines.

Software Engineer (Esports) at Esports How

Built an automated data extraction tool that filtered thousands of user profiles by key parameters (e.g., leads with interest but no follow-up), cutting manual sorting by over 50% and improving workflow efficiency for the sales team. Designed and implemented an Excel reporting tool that streams Instagram DMs for the sales team, improving efficiency and automation potential by 40%. Delivered the project ahead of schedule, ensuring high-quality results while meeting tight deadlines.

Software Engineer Intern at Esports How

Built an automated data extraction tool that filtered thousands of user profiles by key parameters (e.g., leads with interest but no follow-up), cutting manual sorting by over 50% and improving workflow efficiency for the sales team.

Project Supervisor at West Wholesale Construction

Managed $15k–$100k+ residential and commercial projects, overseeing planning, materials, and delivery. Implemented AI-assisted workflow tools to optimize planning and track progress, reducing manual follow-ups by ~15–20%. Supervised and trained a 2–4 person crew, ensuring safety compliance and quality standards.

Built an automated data extraction tool that filtered thousands of user profiles by key parameters (e.g., leads with interest but no follow-up), cutting manual sorting by over 50% and improving workflow efficiency for the sales team. Designed and implemented an Excel reporting tool that streamlined Instagram DMs for the sales team, improving efficiency and automation potential by 40%. Delivered the project ahead of schedule, ensuring high-quality results while meeting tight deadlines.

IT Engineering Intern at Spanish Springs High School

Led a team to install and configure operating systems on 70+ machines, ensuring alignment with district specifications and improving operational efficiency. Developed and maintained detailed documentation of technical maintenance and procedures executed. Managed 50+ IT tickets per week, troubleshooting hardware and software issues, and maintaining a 98% resolution rate, ensuring minimal disruption to school operations. Co-led the training and mentoring of junior IT technicians on hardware and software maintenance, building a reliable support team for school IT infrastructure.

Volunteer – Site Supervisor at Nevada Elections (2020 US Presidential Primaries)

Oversaw and managed voter registration procedures in the county, ensuring compliance with Nevada election regulations.

Site Supervisor (Volunteer) at Nevada Presidential Primary Elections

Oversaw and managed voter registration procedures in the county, ensuring compliance with Nevada election regulations.

IT Intern at Spanish Springs High School, Reno

Led a team to install and configure operating systems on 70+ machines, ensuring alignment with district specifications and improving operational efficiency. Managed 50+ IT tickets per week, troubleshooting hardware and software issues, and maintaining a 98% resolution rate, ensuring minimal disruption to school operations.