Lead Docusign Integrations- Including the development of Automated Account Opening and Trading Agreements.- Introduced and built custom Github and Slack integrations for deployment and reporting.- Built PDF Engines with Microsoft Graph for portfolio projections and performance.Mentorship & Leadership- Transformed engineer performance - Matured organization's development practices (e.g., encouraged good use of git; widespread use of typing and comments; Jira Tickets and weighting; in- and out of code document).- Improved inter-team integration through fitness challenges and ridiculous contests- Lead meetings on how to convert ideas into infrastructure, code and database structures.Lead Infrastructure development- Force infrastructure development through infrastructure-as-code (AWS CDK)- Built a number of frameworks and templates (e.g., EC2 Stack/RDS, Lambda-Dynamo Stacks)

Lead back-end infrastructureTools: Python & AWS (CDK + EC2, S3, Lambdas, Cloudwatch, Cloudfront, SNS, SQS, SSM, IAM)

- Build Slack apps using AWS serverless technologyTools: Javascript/Typescript, AWS (API Gateway, CDK, CloudFormation, CloudWatch, DynamoDb, EC2, EFS, IAM, Lambdas, S3, SNS, SSM), Sentry, Segment... etc.

- Lead development for internal tooling integrating with many APIs (e.g., GitLab/AWS/Adobe/Salesforce etc.)- Tech lead and architect for a large ETL project- Managed a team of developersTools: Python (incl. FLASK, Falcon), shell, JavaScript (incl. React, node, express, ejs), REST+SOAP, SQL, AWS(Kubernetes, S3, CloudFront, Route53, lambda), LDAPs

- Developed, tested, and integrated cross-platform microservices- Created communication software specific to solar data analysis- Managed one of the world's largest solar-investment portfolios Tools: PHP, Javascript, Python

- Developed software to model fluid and heat transfer (computational fluid dynamics)- Attempted to solve a long-standing problem in statistical thermodynamics and nucleation Awarded: FAST Doctoral fellowship (33k/year), NSERC - PGS D(23k/year), 1st place Student Presentation (0.1k)Tools: Python, C, Math (calculus, numerical methods, linear algebra)

- Parsed data lakes and optimized ETL (extract transfer load) pipelines - Published peer-reviewed articles on machine learning in storm research as lead and supporting author - Built and administered lab website and media presenceAwards: Most valuably; Marine Science Scholar (33k USD/year)Tools: R, Machine Learning (PAM, K-means cluster analysis), AWS (EC2, S3, Route 53), Google Analytics, HTML (5), CSS (3), JQuery

- Planned and conducted Phase II environmental investigations- Managed budgets, hired contractors for locates, ground-penetrating radar surveys, drillers, and analytic laboratories- Produced Phase I and Phase II reports within in accordance with the Ontario Water Resources Act (OWRA) and Environmental Protection Act (EPA)Tools: Microsoft Suite (including VBA)

- Produced content to integrate 3D technology into geological education and outreach- Bridged the technological knowledge gaps of the program operators by creating a user-manual and providing telephone assistance

- Processed and documented sedimentary cores- Collected, processed, and analyzed geochemical and microfossil data