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. Significantly increased operational efficiency in big data pipeline for PDF 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 to automatically describe how a new scraper can be configured, streamlining the scraper setup process.

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, achieving a fault-tolerant, distributed system.• 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 resource usage by 50%, speeding up execution by 1.5x, and cutting cloud computing costs by 20% through intelligent automation and load optimization.• 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 Databricks PySpark, reduced average table size by 60%, improved data accuracy by 10%, and increased automation for error correction.• 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 applications. Fostering cross-team collaboration and building a scalable, flexible framework for future growth.

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 of 3.1 mmHg, meeting AAMI and BHS standards for "Medical Grade A" devices.• 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%