Hire Alfred J. - Forward Deployed Engineer

Developed and implemented a dynamic pricing model using a Good-Better-Best Pricing Framework with AWS Lambda, API Gateway, and DynamoDB to integrate factors like demand, seasonality, and customer behavior for optimal pricing strategies.- Led the development of a website hosted on Netlify, optimizing for market segmentation which resulted in a 130% increase in overall traffic and a 200% growth in engagement from the target audience. Integrated custom analytics tracking to gather tailored insights and drive data-driven decisions.- Designed and deployed an adaptive scheduling system using AWS Amplify for the frontend and AWS Lambda with DynamoDB for backend logic, optimizing operations based on real-time demand and availability.Due to strong ownership was provided responsibility over tasks like:- Developed and executed customer research strategies, overcoming challenges such as: Low-Quality/Generic Responses: Introduced a motivational statement to encourage altruistic participation and enhance response quality. Low Participation: Advocated for low-cost incentives, which not only increased participation rates but also improved the quality of responses through the incentive effect.- Developed a task management and scheduling system using Google Apps Script, integrating Kanban-style boards and dynamic task tracking with custom task statuses, deduplication, and automatic creation of daily tasks. Leveraged data validation and dynamic sorting for task prioritization based on customizable parameters such as priority and status.

* Received recognition for demonstrating the Ownership and Deliver Results Leadership Principles, highlighting my ability to own a problem to completion on time. Ranked top engineer in organization. Guided the team in shifting operational focus from queue reduction to root cause analysis. This strategic shift resulted in fewer operational issues, improved service quality and higher quality ops time for engineers. During subsequent operational weeks, I led by example by pushing solutions for all recurring issues, setting a standard for proactive problem-solving and reducing future workloads for the team by 43% averaged over ops rotation. Created automated testing services using Hydra and ECS deployed using CloudFormation for both services launched in my tenure. Prioritizing cost effectiveness by working backwards for thresholds and frequencies. Achieved 51% of cost estimate assisting other teams optimize. Developed a MVP for a Timeseries Service on AWS Sagemaker Instances. Datasets were generated, evaluated and ranked on how predictable they were inspired by “On the Predictability of Time Series” Hyndman et al. to rank relative performance in Python. Models implemented in PyTorch were selected from various fields statistics, AI and trained and best result utilized. Worked on automated region builds for services using TypeScript, CDK and Jinja templates reducing new region launch time by factor of 10.