Cameron Wasilewsky Email & Phone Number

Seattle, Wa, Us

The Cloud, Us

As the Technical Lead for the Snowflake Startup Accelerator, I empower startups to scale their businesses using Snowflake’s Data Cloud, focusing on AI/ML and App innovation, marketplace development, and driving technical adoption. Leveraging a strong foundation as a Senior Sales Engineer, I have supported over 100 companies, including Kumo, LandingAI, and AI21 Labs, through architectural design, implementation, and go-to-market (GTM) strategies, contributing to 10x growth in key accounts.• Startup Accelerator Growth: Shaped the startup accelerator established in January 2024, engaging 60+ startups, publishing 10 marketplace apps, and driving +200% quarterly consumption growth. Delivered tooling infrastructure to scale processes, enabling 4 of the top 15 Native App providers.• Technical Enablement & Solutions: Led 50+ architectural deep dives for AI/ML startups like DeepDempo and LangAI, providing tailored Python and SQL-based architectures to address complex challenges. Designed and executed PowerUp Enablement Sessions with 200+ attendees, boosting feature adoption and technical success.• AI/ML Advocacy & Product Vision: Delivered over 100 executive-level sales demonstrations, effectively communicating Snowflake's AI/ML capabilities to both technical and non-technical stakeholders. Developed a Center of Excellence to address knowledge and tooling gaps, advancing Snowflake’s AI/ML initiatives.• Thought Leadership & GTM Strategy: Established a scalable GTM framework adopted by partner marketing, driving 10s of blogs, YouTube videos, and LinkedIn engagement. Presented at global events and participated in Conferences and AI Forums, amplifying Snowflake’s presence in the startup and AI/ML ecosystem.• Community Building & Ecosystem Expansion: Founded the Accelerator Community, fostering knowledge sharing and best practices among startups. Partnered with 10+ VCs for enablement and Snowflake Ventures pipeline growth.

Sydney, New South Wales, Au

Deliver product in line with market need of global customers by balancing technical limitations and business requirements. Championed team of developers and data scientists, while ensuring professional and technical development operations.• Spearheaded technical delivery of the mobile and web platform with keen focus on scalability, security, long term stability and growth, while enabling 10+ organizations, as well as 200+ guides, and 10,000+ users to utilise services.

Sydney, Nsw, Au

Leveraged exceptional leadership expertise to oversee a team of 20 employees in delivery of advanced analytics capabilities to facilitate over eight business units across 60+ use cases (Risk, Consumer, Business) ensuring deliver on their data science and analytics use cases. Set up operational frameworks and procedures around PowerBI, Synapse, and Dataiku while ensuring the use of cutting-edge tools in a controlled environment. • Employed technical expertise in deployment of automated data owner register, attestation, and visualisation tool to improve data access and governance for over 2,000 Westpac employees and 80,000 tables.• Encouraged and up-skilled senior stakeholders to adopt cloud technologies, structures, and analytical methodologies in an organizational setting, while improving operational efficiency and performance.• Facilitated three analytics personas (including Viewers, Creators, and Owners) by establishing communities and knowledge bases, while improving their access and usability of the data platform’s tooling, as well as reducing time to insights by 70%.

Sydney, Nsw, Au

value proposition and gain key skills and knowledge to use the capabilities. Utilised Hive, Spark, and Dataiku to process terabytes of data on Westpac's Azure Big Data Platform to find patterns and support business decisions.• Educated over 500 people regarding data and analytics principles, procedures, and technology to enable their transition to data-driven culture.• Contributed technical efforts in testing and implementing into production Data Science and ML platform ensuring delivery of usable, secure, and valuable solution across the group.

Sydney, Nsw, Au

Presented on data science and machine learning techniques in front of top leadership and at internal conferences, while up-skilling team members to enable knowledge and skill sharing. Delivered technical strategy packets to influence a variety of stakeholders on the future and worth of various data science use cases and technologies.• Assisted in development of Machine Learning (ML) based Transaction Categorisation proof of concept (model and front end) proving to stakeholders on Machine Learning for building real-time solutions.

Worldwide, Oo

Extracted personal identifying information from large unstructured text through development of python applications. Provided support for potential evaluations for the deployment of AI assistants and bots across one of Australia's leading insurance businesses. Developed a NLP-powered advisory application using ten or more cognitive and analytics methodologies, cutting the time to find and understand Australian legislation by half. Played integral role as advisor to provide effective consultation to senior stakeholders on implementation of best practices and algorithm selection within the analytics and artificial intelligence space for a large investment fund. • Shared deep data insights through storytelling technique, by utilising tools such as Tableau.• Enriched efficiency by leading transition of data from server-based infrastructures to cloud systems.• Supported decision critical information from big data by leveraging hands-on experience in machine learning and statistics.• Reduced analyst manual effort by 83% through development of Machine Vision application for object detection using Tensorflow and openCV.• Elevated skillset and knowledge by leading graduate training for 50+ new starters, while ensuring foundational knowledge of data and analytics and professional standards.

Worldwide, Oo

- Hands-on experience in machine learning and statistics to draw decision critical information from big data- Built and trained Machine Vision application for object detection using TensorFlow and openCV, reducing analyst manual effort by 83%- Communicated data insights through storytelling, utilising tools such as Tableau- Managed data transformations from server-based infrastructures to cloud systems- Built python applications to extract personal identifying information from large unstructured text

Worldwide, Oo

Masters Of Data Science

Bachelor Of Engineering - Be, Mechatronics, Robotics, And Automation Engineering

Bachelor Of Commerce - Bcom, Management Information Systems And Services