Ad Nucleus UX/UI Design & Development
Developed a React.js UX/UI for a programatic advertising platform.
We can set up an interview with David, or any of our vetted developers, within 48 hours. How would you like to proceed?
Schedule Interview NowMy 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.
Developed a React.js UX/UI for a programatic advertising platform.
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.
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.
Bachelor of Engineering (BEng), Computer engineering
Miami Dade College
Services
Solutions
Technologies
About