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David L. Cloud, Web3 and AI Platforms

My name is David L. and I have over 9 years of experience in the tech industry. I specialize in the following technologies: Python, 3D Modeling, C++, AWS Lambda, node.js, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: Ad Nucleus UX/UI Design & Development, Precision Manufacturing CNC AI Pipeline & Fusion360 Add-In, iOS Medical Transcription and Billing Code Predictions. I am based in Hialeah, United States. I've successfully completed 3 projects while developing at Devaims.

I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.

My experience at Devaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.

My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.

Main Technologies

  • Python
  • 3D Modeling
  • C++
  • AWS Lambda
  • Node.js
  • React
  • Blockchain Development
  • Arduino
  • Raspberry Pi
  • Solidity
  • Machine Learning
  • Internet of Things Solutions Design
  • JavaScript
  • Amazon SageMaker
  • Machine Learning Algorithm
  • Data Engineering
  • Data Science
  • Data Analysis
  • React Native
  • Nextjs

Notable Projects

Ad Nucleus UX/UI Design & Development

Developed a React.js UX/UI for a programatic advertising platform.

Precision Manufacturing CNC AI Pipeline & Fusion360 Add-In

Goal: build a secure, cost-efficient CNC Cloud that captures CAD/CAM user selections, streams them through an ETL lake, then trains & deploys ML models for real-time CNC predictions while exposing CRUD APIs with fine-grained auth. Solution: crafted single-table DynamoDB with generic partition endpoints, S3→Athena→SageMaker ETL, on-demand/Spot-aware training, JSON→CSV logging for QuickSight, robust JWT/KMS/IAM controls, and full IaC via Serverless. Impact: cut query spend, fixed training failures, unified CRUD flows, unlocked live analytics, and hardened SOC2/HIPAA data security.

iOS Medical Transcription and Billing Code Predictions

Built a HIPAA-ready medical transcription platform. Goals: automate transcription of clinical audio, store and secure patient data. Solutions: multiple AWS microservices (appointments, organizations, users, payments) deployed via Serverless and CI/CD. Transcription uses Fargate to run Kubernetes jobs, triggered by Lambdas. DynamoDB tables use KMS encryption and tagging. Impact: automated infrastructure deployment, strong role-based security, and compliance practices that make the platform scalable and safe for PHI.

Education

  1. Bachelor of Engineering (BEng), Computer engineering

    Miami Dade College

Solutions

  • Ecommerce
  • Blockchain
  • AI
  • AR/ VR

Technologies

  • React Native
  • Flutter
  • Python
  • Javascript

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