# Cole Glasgow > Software Engineer | Ex-Founder Location: San Francisco, California, United States Profile: https://flows.cv/coleglasgow ## Work Experience ### Software Engineer @ Replo Jan 2025 – Present | San Francisco, California, United States ### Founder & Lead Software Engineer @ Sketchback Jan 2023 – Jan 2024 | San Francisco Bay Area Sketchback is a serverless SaaS platform empowering graphic design agencies and freelancers to collaborate seamlessly with their clients. The platform integrates an intuitive infinite canvas for flexible file display, versioning, comments, and approvals, streamlining feedback and improving project outcomes. - Led development of a serverless SaaS platform, architecting scalable systems on AWS (DynamoDB, Lambda, Cognito, S3) and deploying with CDK. Built frontend with React, Next.js, and TypeScript, with react-query for state management. - Defined product direction with a focus on accessibility and user needs through 50+ user interviews and 5 prototyping stages. - Integrated Stripe payment platform with backend using AWS serverless architecture, fully automating the new user journey. - Designed and deployed a responsive, SEO-friendly sales site with AWS Amplify, enabling feature iterations in under 5 minutes. - Directed a cross-functional team to deliver an MVP 7 weeks ahead of schedule, ensuring timely market entry. - Collaborated with a design group to develop a brand identity, delivering logos and UI guidelines adopted across 6 platforms. ### Business Automation Consultant @ Wield Automation Jan 2022 – Jan 2022 | Rochester, New York, United States Founded Wield Automation to improve operational efficiency in graphic design businesses through process automation. This role provided firsthand insight into the challenges faced by graphic design agencies and freelancers, directly inspiring the creation of Sketchback. - Partnered with graphic design businesses to identify inefficiencies in their workflows and implemented process automation solutions to streamline operations. - Conducted UX research and stakeholder interviews to understand pain points, focusing on areas like project communication and file organization. - Delivered tailored automation strategies, combining strategic communication with process mapping to improve client response times and reduce manual work. - Gained in-depth exposure to the graphic design industry's unique operational challenges, which informed the development of Sketchback's features, including collaborative tools and approval workflows. ### Business Intelligence Analyst @ WHOOP Jan 2022 – Jan 2022 | Boston, Massachusetts, United States - Developed efficient PostgreSQL queries across 200+ AWS Redshift tables, driving actionable insights for 15+ BI dashboards. - Built a Python data pipeline to process live revenue and user metrics, equipping C-suite leaders with real-time insights. - Maintained Looker dashboards for 4 teams, delivering insights on engagement, retention, and profitability for 150+ initiatives. - Performed SQL-driven analysis of checkout flows, driving a 12% increase in conversion rates through targeted optimizations. ### Data Engineer & Founder @ Household Gaming Jan 2020 – Jan 2022 | Rochester, New York, United States - Built and scaled a data-driven trading card resale business, generating $200k in annual revenue while a full-time student. - Developed Python web scraping software to monitor prices for 20k+ SKUs daily across 4 separate marketplaces. - Designed and managed a PostgreSQL data warehouse, efficiently querying and scaling over 100 million rows of price data. - Optimized purchasing decisions and profitability forecasting with regression analysis and predictive algorithms in Python, leading to a complete, real-time pricing model requiring <10 minutes of daily overhead. - Managed operations, including inventory tracking, shipping, supplier relations, customer support, and balance sheets. ### Astrophysics Research Assistant @ Rochester Institute of Technology Jan 2020 – Jan 2020 | Rochester, New York, United States - Developed a predictive model to identify galaxy mergers at high redshift using simulated James Webb Space Telescope data. Applied regression analysis and machine learning classification techniques to multidimensional nonparametric datasets, achieving a model with over three times the merger identification accuracy of a naïve algorithm. - Extensively utilized Python for machine learning and data analysis, leveraging libraries such as pandas, scikit-learn, NumPy, and Astropy to process and analyze large-scale astronomical datasets. - Collaborated with a research team to refine methodologies for processing high-dimensional data, contributing to advancements in astrophysical research workflows. - Delivered insights that supported the interpretation of simulated astrophysical phenomena, enhancing the research team’s ability to simulate and understand galaxy mergers. ### Astrophysics Research Intern @ Yale University Jan 2018 – Jan 2020 | New Haven, Connecticut, United States Contributed to groundbreaking research on massive star formation, resulting in co-authorship of a peer-reviewed paper published in The Astrophysical Journal, titled "Evidence of Core Growth in the Dragon Infrared Dark Cloud: A Path for Massive Star Formation." This study explored the role of protostellar core growth in early stellar development, leveraging advanced data analysis techniques to provide new insights into the mechanisms of massive star formation. - Collaborated remotely with a protostellar core research group, applying advanced Python techniques to process and analyze astronomical data. - Utilized Python libraries such as Astropy and pandas for data manipulation and analysis, working with high-dimensional datasets derived from astronomical observations. - Applied analytical methods including Gaussian curve fitting to model flux data and minimum spanning tree algorithms to quantify mass segregation in protostellar systems. - Delivered research findings that supported the team’s ongoing studies of protostellar core formation and structure, enhancing the scientific community's understanding of massive star formation processes. ### Server, Chef and Cashier @ Pick and Mix Jan 2019 – Jan 2019 | Avon, CT -Utilized communication and organization skills while collaborating with team members to provide customer service, assist with sales, and prepare food. -Performed store opening and closing duties, including counting cash drawers, checking inventory, and inspecting equipment. ## Education ### Bachelor's of Computer Science in Minors in Physics, Quantum Information Science and Technology Rochester Institute of Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/cole-glasgow - Portfolio: https://sketchback.com --- Source: https://flows.cv/coleglasgow JSON Resume: https://flows.cv/coleglasgow/resume.json Last updated: 2026-04-10