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Last saved: February 21 at 6:10 PM EST
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Diogo Cruz Team Lead RSVP Approved
SDEII at Amazon
Diogo led the vision and design of Churro, shaping the concept and experience from the ground up, and leveraged Claude Code to deliver the full UI.
Diogo Cruz is a Senior Software Engineer at Amazon, based in the New York City Metropolitan Area, with 8 years of inferred experience. He is currently looking for co-founders and sponsorships, and is open to introductions via email. Diogo has six years of industry experience delivering customer features at scale, having developed kernels for mlx up to establishing workflows streamlining developer efficiency at Amazon. His tinkerer project involves a delivery ads data manager for Amazon. He is exploring the generative AI space with a focus on reimagining how customers interact with products.
I am exploring the generative ai space with a focus on reimagining the medium for customers to interact with products going into the new era
Delivery ads data manager for Amazon
Aditya Vishwajit Kasture RSVP Approved
Data an Software Analyst at Strat AI Solutions. INC
Aditya co-conceived the core idea alongside Diogo. Framing the hackathon project around the question of what Turo would look like if built today with Claude, and drove the product narrative, writing and iterating the pitch copy, problem statement, and demo script throughout the day. On the technical side curated the car inventory data list and metadata enabling the query functionality.
Aditya Vishwajit Kasture, currently a Data Engineering and Dashboard Intern at Penn State University, is also listed as a Data an Software Analyst at Strat AI Solutions. INC. He is a tinkerer in the role of Data Scientist and is open to work, seeking full-time employment. Aditya is looking for customers, investors, and sponsorships, and is open to introductions. He has studied Data Science at Penn State University and Brighton College, accumulating two years of experience. Aditya can be reached by phone and is available to help with product review and technical architecture.
Data engineering, data visualization, applied machine learning, AI-powered workflows, data pipelines, real-time analytics, trading platforms, dashboard development, technical architecture, product review, real-time data integration, parallel stock screening.
Projects include a professional PyQt6 trading platform integrated with Interactive Brokers (ib_insync) featuring real-time data, technical charting, and parallel stock screening via ThreadPoolExecutor. Other work features the Strat-AI Streamlit Dashboard for interactive analytics and ML models like F1_Pit_Stop_Optimization using TensorFlow/Keras and Predicting-Readmission-in-Diabetes-Patients using XGBoost. Current work involves building AI-powered workflows and data pipelines.