Nolan Kurylo Email & Phone Number

Austin, TX, US

Houston, Texas, United States

• Led a global team of software developers building a cloud-based, AI-powered, web scraping platform. Managing complex L48 data to contribute to new business products and a multi-million dollar revenue data platform.
• Developed and productionized an OCR table detection model using a pre-trained vision transformer to achieve 95% accuracy in locating tables within PDFs and 0.85 normalized word similarity for key-value pair extraction..
• Researched and built a Retrieval-Augmented Generation (RAG) system that leverages existing web scraper configurations to perform semantic searches for scrapers with similar configurations. Utilizing a 7B parameter LLM.

Houston, Texas, United States

• Refactored AWS cloud infrastructure of a monolithic web scraping platfrom into scalable microservices. Leveraging horizontal-scaling, improved web scraping speed by 25x for file downloads and 50x for data extraction.
• Designed a machine learning-driven scheduling algorithm that analyzed historical web scraper data (start times, durations, and platform load patterns) to predict future durations and optimize schedules. Reduced peak.
• Developed an automated workflow using NLP sentence transformers for similarity matching to identify and remove redundant, incorrect, or conflicting values from L48 data tables. Leveraging distributing computing with.
• Integrated web scraping technology with internal teams globally, onboarding and configuring project-specific web scrapers, while introducing a Full-Stack (React.js, Python, DynamoDB) plugin interface for custom.

Victoria, British Columbia, Canada

• Developed a medical-grade machine learning model for predicting arterial blood pressure (ABP) using photoplethysmogram (PPG) signal processing and feature extraction. Achieved Systolic MAE of 4.5 mmHg and Diastolic MAE.
• Deployed the model as a microservice on AWS Lambda, ensuring scalability, usability, and seamless integration with other systems.
• Conducted comprehensive literature reviews of academic research to enhance approach and model design, leading to innovative solutions.

Vancouver, British Columbia, Canada

• Developed an enterprise-level ML application for content classification using a multi-channel neural network (metadata, embedding layer, NLP BERT transformer), achieving a 90% validation F1 score on 100,000+ examples.
• Deployed predictive models used by 10,000+ merchants and publishers, designing and implementing a end-to-end ML pipeline, from data acquisition and preprocessing to model training and AWS Lambda deployment.
• Fine-tuned a BERT transformer from HuggingFace, applying transfer learning to optimize deep neural network performance for text classification.
• Collaborated with clients to translate business requirements and enhance model accuracy through data-driven strategies.

Victoria, British Columbia, Canada

• Led a cross-functional team of 10 developers across embedded electronics, web, and mobile app departments, mentoring in software design and guiding solutions for nearly 1,000 users.
• Achieved 100% of project milestones by organizing weekly Kanban meetings, coordinating technical design, and managing team priorities.
• Promoted to lead the development teams after completing a previous internship, serving as the go-to person for code and project-related guidance.
• Designed and implemented CI/CD architecture on GitHub using pipelines and branching strategies to streamline version control and deployment.
• Optimized team workflow by implementing an Agile/Kanban software development lifecycle, improving productivity and collaboration.

Victoria, British Columbia, Canada

• Developed an embedded system enabling physical, voice, and remote control for the company’s fitness desk product, resulting in US patent protection for the smart device technology.
• Integrated cross-platform applications (Web, iOS, and Android) using Bluetooth and Wi-Fi, enhancing connectivity and functionality.
• Programmed PCB components in C++, including servo and PWM motors, capacitive touch sensors, and accelerometers, while optimizing performance in memory-constrained environments.
• Gained expertise in UART and I2C protocols for embedded systems and established reliable Bluetooth/Wi-Fi connections with mobile applications.
• Improved customer feedback through direct consultation and incorporating end-user recommendations.
• Collaborated with the CEO and CTO, delivering impactful presentations that influenced project prioritization and business strategy.

Victoria, British Columbia, Canada

• Designed, developed, and tested a full-stack e-commerce web application from the ground up, now serving 10,000+ users.
• Built an HTML/Python front-end, Node.js API, and PostgreSQL database, gaining expertise in full-stack development.
• Created and maintained a PostgreSQL database optimized to handle over 1 million entries with efficient read and write operations.
• Developed professional skills in API endpoint creation, SQL query optimization, and adhering to best practices in software design and documentation.
• Overcame a steep learning curve in my first engineering co-op, igniting a passion for programming while delivering a large-scale project.

Bachelor Of Software Engineering - Bseng, Software Engineering, 3.9/4.0

High School Diploma, 90%